Yuan Yan TANG – Faculty of Science and Technology

Yuan Yan TANG唐遠炎
Chair Professor Emeritus
IEEE Life Fellow, IAPR Fellow, AAIA Fellow

Academic Qualification

Ph.D.		Computer Science, Concordia University, Montreal, Canada, 1990.
M.S.		Electrical and Electronic Engineering, Beijing Institute of Posts and Telecommunications, Beijing, China, 1981.
B.S		Electrical and Electronic Engineering, Chongqing University, Chongqing, China, 1966.

Working Experience

2019-Present		Chair Professor Emeritus, Department of Computer and Information Science, Faculty of Science and Technology, University of Macau. Director of Smart City Research Center, Zhuhai UM Science & Technology Research Institute
2011-2019		Chair Professor, Department of Computer and Information Science, Faculty of Science and Technology, University of Macau.
2011-Present		Chair Professor Emeritus, Department of Computer Science, Hong Kong Baptist University.
2004-2010		Chair Professor, Department of Computer Science, Hong Kong Baptist University.
2006-2011		Dean, College of Computer Science, Chongqing University, Chongqing, China.
2000-2004		Full Professor, Department of Computer Science, Hong Kong Baptist University.
1995-2000		Associate Professor, Department of Computer Science, Hong Kong Baptist University.
1995-Present		Adjunct Professor, Concordia University, Montreal, Canada.
1990-1995		Research Fellow, Department of Computer Science, Concordia University, Montreal, Canada.
1966-1978		Worked in China.

Teaching

2011-2019 (University of Macau)		IMSS014-Advanced Topics in Computer Science (Image Processing and Pattern Recognition). IMSS015-Advanced Topics in Computer Science (Methods, Techniques and Tools of Research in Intelligence Science).
1995-2010 (Hong Kong Baptist University)		Advanced Pattern Recognition Computer Vision Advanced Signal Processing Computer Organization
1990-1995 (Canada Concordia University)		Operating Systems Expert Systems Programing Methodology Computer Language Fortran Computer Organization

Major Awards and Recognitions

IEEE Life Fellow, IEEE for contributions to wavelet analysis to pattern recognition and document analysis, 2016.
Fellow, IEEE for contributions to wavelet analysis to pattern recognition and document analysis, 2014
Fellow, IAPR (International Association of Pattern Recognition) for contribution to wavelet theory approach, 2004.
Fellow, AAIA (Asia-Pacific Artificial Intelligence Association) for contribution to pattern recognition, 2021.
Highly Cited Researcher in Engineering by Clarivate Analytics 2020-2021. (http://highlycited.com/)
President’s Award, as a Team Leader for Research & Scholarly Activities, 2012, Hong Kong Baptist University.
Nature Science Award(1st Prize, in Ministry of Education), 2005. (2005年度中國教育部自然科學一等奬)
Nature Science & Technology Award (3rd Prize in Macau), 2014. (2014年度澳門特别行政區科學技術奬三等奬)
Nature Science & Technology Award(3rd Prize in Macau), 2016. (2016年度澳門特别行政區科學技術奬三等奬)
Nature Science Award (2nd Prize in Chongqing), 2011. (2011年度重慶市自然科學二等奬)
Nature Science Award (2nd Prize in Chongqing), 2008. (2008年度重慶市自然科學二等奬)
Member of Board of Governors in IEEE Systems, Man, and Cybernetics (SMC) Society (2008-2011).
Founding Chair of Technical Committee of Pattern Recognition in IEEE Systems, Man, and Cybernetics (SMC) Society (2008-2018).
Chair of Technical Committee of Machine Learning in IEEE Systems, Man, and Cybernetics (SMC) Society (2004-2008).
IEEE Fellow Society/Technical Council Evaluator – IEEE Computer Society 2022.
IEEE Fellow Society/Technical Council Evaluator – IEEE SMC Society 2013, 2014.

Publications

1. Monographs/Books

Y. Y. Tang, 2023, Wavelet Theory Approach to Pattern Recognition (3rd Edition), The World Scientific Publishing Co. Pte, Ltd., Singapore. (in printing)
Y. Y. Tang, 2012, Document Analysis and Recognition by Wavelet and Fractal Theories, The World Scientific Publishing Co. Pte, Ltd., Singapore.
Y. Y. Tang, 2009, Wavelet Theory Approach to Pattern Recognition (2nd Edition), The World Scientific Publishing Co. Pte, Ltd., Singapore.
Y. Y. Tang and L. Wang, 2004, Wavelet Theory and its Application to Document Analysis and Recognition, The China Scientific Publishing, Beijing.
P. C. Yuen, Y. Y. Tang and P. Wang, 2002, Multimodal Interface for Human-Machine Communications, The World Scientific Publishing Co. Pte, Ltd., Singapore.
Y. Y. Tang, V. Wickerhauser, P. C. Yuen and C. H. Li, 2001, Wavelet Theory and its Applications, Springer, London.
J. Liu, N. Zhong, Y. Y. Tang and P. Wang, 2001, Agent Engineering, The World Scientific Publishing Co. Pte, Ltd., Singapore.
Y. Y. Tang, L. Yang, J. Liu and H. Ma, 2000, Wavelet Theory and its Application to Pattern Recognition, The World Scientific Publishing Co. Pte, Ltd., Singapore, 2000.
S.W Lee, Y. Y. Tang and P. Wang, 1999, Advances in Oriental Document Analysis and Recognition Techniques, The World Scientific Publishing Co. Pte, Ltd., Singapore.
J. P. Li and Y. Y. Tang, 1999, Applications of the Methods of Wavelet Analysis, The Chongqing University Press.
Z. Li, T. D. Bui, Y. Y. Tang and C. Y. Suen, 1989, Computer Transformation of Digital Images and Patterns, The World Scientific Publishing Co. Pte, Ltd., Singapore.
Y. Y. Tang, 1983, Electronic Power Amplifier, Publishing House of P.P.T., Beijing, China.
Y. Y. Tang, 1981, Electronic Designer’s Graphics, Publishing House of P.P.T., Beijing, China.

2. Book Chapters

Y. Wang and Y. Y. Tang, 2023, “Trajectory Clustering Analysis,” in Book: Machine Learning for Data Science Handbook: Data Mining and Knowledge, Springer, 197-217.
Y. Y. Tang and H. L. Yuan, 2016, “Manifold-based Sparse Representation for Hyperspectral Image Classification,” in Book: Handbook of Pattern Recognition and Computer Vision, (Fifth Edition), The World Scientific Publishing Co. Pte, Ltd., Chapter 2.8
Z. Y. He and Y. Y. Tang, 2008, “A Wavelet-based Statistical Method for Chinese Writer Identification,” in Book: Applied Pattern Recognition, edited by H. Bunke, A. Kandel and M. Last, Springer, 203-220.
Y. Y. Tang, 2005, “Document Analysis and Understanding,” in Book: Handbook of Pattern Recognition and Computer Vision, (Third Edition), The World Scientific Publishing Co. Pte, Ltd., 219-240.
Y. Y. Tang and X. G. You, 2003, “Wavelet Transform Approach to Skeletonization of Characters,” in Book: Pattern Recognition in Information Systems, ICEIS Press, 14‑21.
Y. Y. Tang, X. C. Feng, L. Sun and L. Wang, 2002, “Geometric Transformation by Moment Method with Wavelet Matrix,” in Book: Soft Computing Approach to Pattern Recognition and Image Processing, edited by A. Ghosh, S. Pal, The World Scientific Publishing Co. Pte, Ltd., 145-162.
L. H. Yang, Y. Y. Tang, Li Feng and Z. H. Yang, 1999, “Applying B-Spline Wavelet Transform to Contour Detection of Handwritings,” in Book: Advances in Handwriting Recognition, The World Scientific Publishing Co. Pte, Ltd., 459-468.
K. Lau, P. C. Yuen and Y. Y. Tang, 1999, “A New Function-Based On-Line Signature Verification Method,” in Book: Frontiers in Handwriting Recognition, The World Scientific Publishing Co. Pte, Ltd., 559 – 568.
Li Feng, Y. Y. Tang, Q. Sun and L. Yang, 1999, “Number Theoretic Transform Approach to Handwriting Recognition,” in Book: Advances in Handwriting Recognition, The World Scientific Publishing Co. Pte, Ltd., 507-516.
Y. Y. Tang, M. Cheriet, J. Liu, J. Said and C. Y. Suen, 1999, “Document Analysis and Recognition by Computers,” in Book: Handbook of Pattern Recognition and Computer Vision, (Second Edition), The World Scientific Publishing Co. Pte, Ltd., 579-612.
J. Liu, H. Zhou and Y. Y. Tang, 1996, “Evolutionary Cellular Automata for Emergent Image Features,” in Book: Progress in Neural Information Processing, Springer, pp. 458-463.
H. Ma, D. Xi, X. G. Mao, Y. Y. Tang, and C. Y. Suen, 1995, “Document Analysis by Fractal Signatures,” in Book: Document Analysis Systems, edited by Larry Spitz, The World Scientific Publishing Co. Pte, Ltd., 173-201.
Y. Y. Tang and C. Y. Suen, 1994, “Document Structures: A Survey,” in Book: Document Image Analysis, The World Scientific Publishing Co. Pte, Ltd., 85-115.
Y. Y. Tang, C. Yan, M. Cheriet and C. Y. Suen, 1993, “Automatic Analysis and Understanding of Documents,” in Book: Handbook of Pattern Recognition and Computer Vision, (First Edition), The World Scientific Publishing Co. Pte, Ltd., 625-654.
Y. Y. Tang, H. Cheng and C. Y. Suen, 1991, “Transformation -Ring-Projection (TRP) Algorithm and its VLSI Implementation,” in Book: Character and Handwriting Recognition – Expanding Frontiers, edited by Patrick S.P. Wang, The World Scientific Publishing Co. Pte, Ltd., 25-56.
Y. Y. Tang, 1976, “Part II, Electronic Analog Computer”, in Book: Dictionary of Electronic Technology, Beijing Publishing House, Beijing, China.

3. SCI Journal Papers

2024

L. Xu, Q. Cui, W. Xu, E. Chen, H. Tong and Y. Y. Tang, 2024, “Walk in Views: Multi-view Path Aggregation Graph Network for 3D Shape Analysis,” Information Fusion 103, 102131.

2023

S. Zeng, X. Duan, J. Bai, W. Tao, K. Hu and Y. Y. Tang, 2023, “Soft Multi-Prototype Clustering Algorithm Via Two-Layer Semi-NMF,” IEEE Transactions on Fuzzy Systems, DOI: 10.1109/TFUZZ.2023.3329108.
H. Tong, Y. Liu, L. Liu, N. Li, S. Chen, L. Xu and Y. Y. Tang, 2023, “LSTM-DGMDH: High-Dimensional Index Tracking Based on LSTM and Adaptive Deep Evolutionary GMDH Neural Network,” IEEE Access. DOI: 10.1109/ACCESS.2023.3316690.
B. Zou, H. Jiang, C. Xu, J. Xu, X. You and Y. Y. Tang, 2023, “Learning Performance of Weighted Distributed Learning With Support Vector Machines,” IEEE Transactions on Cybernetics, 53(7), 4630-4641.
Q. Li, W. Wang, Y. Y. Tang, C. Xu And Z. Sun, 2023, “Semantic-Based Conditional Generative Adversarial Hashing With Pairwise Labels,” Pattern Recognition 139, 109452.
J. Yang, Z. Zeng, T. Kwong, Y. Y. Tang and Y. Wang, 2023, “Local Orthogonal Moments for Local Features,” IEEE Transactions on Image Processing, 32, 3266-3280.
Z. Dong, C. Xu, J. Xu, B. Zou, J. Zeng and Y. Y. Tang, 2023, “Generalization Capacity of Multi-class SVM Based on Markovian Resampling,” Pattern Recognition, 142, 109720.
C. Zou, K. I. Kou and Y. Y. Tang, 2023 “Probabilistic Quaternion Collaborative Representation and Its Application To Robust Color Face Identification,” Signal Processing, 210, 109097.
T. Chen, Y. Zeng, H. L. Yuan, G. Zhong, L. L. Lai and Y. Y. Tang, 2023, “Multi-Level Regularization-Based Unsupervised Multi-View Feature Selection With Adaptive Graph Learning,” International Journal of Machine Learning and Cybernetics 14 (5), 1695-1709.
G. Li, Q. Cui, S. Wei, X. Wang, L. Xu, L. He, T. C. H. Kwong and Y. Y. Tang, 2023, “Long Short-Term Memory Network-Based Wastewater Quality Prediction Model With Sparrow Search Algorithm,” International Journal of Wavelets, Multiresolution and Information, 21(6), 2350019.
J. Gui, X. Cong, C. Peng, Y. Y. Tang and J. T. Y. Kwok, 2023, “Adversarial Attack and Defense For Dehazing Networks,” arXiv preprint arXiv:2303.17255.
A. Qin, Z. Tan, X. Tan, Y. Wu, C. Jing and Y. Y. Tang, 2023, “Distribution Preserving-Based Deep Semi-NMF For Data Representation,” Neurocomputing 524, 69-83.
Y. Wang, K. I. Kou, H. Chen, Y. Y. Tang and L. Li, 2023, “Simultaneous Robust Matching Pursuit for Multi-view Learning,” Pattern Recognition 134, 109100.
C. Zou, K. I. Kou, Y. Y. Tang and H. Deng, 2023, “Adaptive Reweighted Quaternion Sparse Learning For Data Recovery and Classification,” Pattern Recognition 142, 109653.
Y. Wang, K. I. Kou, H. Chen, Y. Y. Tang and L. Li, 2023, “Double Auto-weighted Tensor Robust Principal Component Analysis,” IEEE Transactions on Image Processing, 32, 5114-5125.
J. Zhou, S. Zeng, G. Gao, Y. Chen and Y. Y. Tang, 2023, “A novel Spatial-Spectral Pyramid Network for Hyperspectral Image Classification,” IEEE Transactions on Geoscience and Remote Sensing, 61, 5519314.
X. Sun, X. Zhang, C. Xu, M. Xiao and Y. Y. Tang, 2023, “Tensorial Multiview Representation for Saliency Detection via Nonconvex Approach,” IEEE Transactions on Cybernetics, 53(3), 1816-1829.
X. Sun, R. Zhu, M. Yang, X. Zhang and Y. Y. Tang, 2023, “Sliced Sparse Gradient Induced Multi-View Subspace Clustering via Tensorial Arctangent Rank Minimization,” IEEE Transactions on Knowledge and Data Engineering, 35(7), 7483-7496.
S. Zeng, X. Duan, H. Li, J. Bai, Y. Y. Tang and Z. Wang, 2023, “A Sparse Framework for Robust Possibilistic K-Subspace Clustering,” IEEE Transactions on Fuzzy Systems, 31(4), 1124-1138.
J. Gui, X. Cong, L. He, Y. Y. Tang and J. T. Y. Kwok, 2023, “Illumination Controllable Dehazing Network based on Unsupervised Retinex Embedding,” arXiv preprint arXiv:2306.05675.
L. Xu, W. Xu, Q. Cui, M. Li, B. Luo and Y. Y. Tang, 2023, “Deep Heuristic Evolutionary Regression Model Based on the Fusion of BiGRU and BiLSTM,” Cognitive Computation, 15, 1672-1686.
L. Zhao, Z. Shang, J. Tan, M. Zhou, M. Zhang, D. Gu, T. Zhang and Y. Y. Tang, 2022, “Siamese Networks With An Online Reweighted Example for Imbalanced Data Learning,” Pattern Recognition 132, 108947.

2022

H. L. Yuan, J. Li, Y. Liang and Y. Y. Tang, 2022, “Multi-View Unsupervised Feature Selection With Tensor Low-Rank Minimization,” Neurocomputing 487, 75-85.
B. Cao, J. Cao, J. Gui, J. Shen, B. Liu, L. He, Y. Y. Tang and J. T. Y. Kwok, 2022, “AlignVE: Visual Entailment Recognition Based on Alignment Relations,” IEEE Transactions on Multimedia, DOI: 10.1109/TMM. 2022.3222118.
K. Huang, L. X. Yang, X. Yang and Y. Y. Tang, 2022, “Effective Multiplatform Advertising Policy,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52(7), 4483-4493.
Y. Li, J. Zhou, J. Tian, X. Zheng and Y. Y. Tang, 2022, “Weighted Error Entropy-Based Information Theoretic Learning for Robust Subspace Representation,” IEEE Transactions on Neural Networks and Learning Systems, 33(9), 4228-4242.
Y. Wang, Y. P. Tan, Y. Y. Tang, H. Chen, C. Zou and L Li, 2022, “Generalized and Discriminative Collaborative Representation for Multiclass Classification,” IEEE Transactions on Cybernetics, 52(5), 2675-2686.
L. Xie, W. Guo, H. Wei, Y. Y. Tang an D. C. Tao, 2022, “Efficient Unsupervised Dimension Reduction for Streaming Multiview Data,” IEEE Transactions on Cybernetics, 52(3), 1772-1784.
H. Yuan, J. Li, Y. Liang and Y. Y. Tang, 2022, “Multi-view unsupervised feature selection with tensor low-rank minimization,” Neurocomputing 487, 75-85.
L. Xu, B. Zhou, X. Li, Z. Wu, Y. Chen, X. Wang and Y. Y. Tang, 2022, “Gaussian Process Image Classification Based on Multi-Layer Convolution Kernel Function,” Neurocomputing 480, 99-109.
Z. Dong, Y. Qin, B. Zou, J. Xu and Y. Y. Tang, 2022, “LMSVCR: Novel Effective Method of Semi-Supervised Multi-Classification,” Neural Computing and Applications, 34, 3857-3873.
F. Hao, T. Zhang, L. Zhao and Y. Y. Tang, 2022, “Efficient Residual Attention Network for Single Image Super-Resolution,” Applied Intelligence, 52, 652-661.

2021

L. Xu, L. Cui, T. Weise, X. Li, Z. Wu, F. Nie, E. Chen and Y. Y. Tang, 2021, “Semi-Supervised Multi-Layer Convolution Kernel Learning in Credit Evaluation,” Pattern Recognition 120, 108125.
Y. Duan, B. Zou, J. Xu, F. Chen, .J Wei and Y. Y. Tang, “OAA-SVM-MS: A Fast And Efficient Multi-Class Classification Algorithm,”Neurocomputing 454, 448-460, 2021.
L. Yang, Y. Liu, H. Luo, X. Li and Y. Y. Tang, 2021, “Visualization Of RNA Secondary Structure With Pseudoknots,” International Journal of Wavelets, Multiresolution and Information, 20(1), 2150036.
L. Yang, H. Deng, R. P. Liu, P. Wang, X. Dang, Y. Y. Tang and X. Li, 2021, “Smart Home Privacy Protection Based on the Improved LSB Information Hiding,” International Journal of Pattern Recognition and Artificial Intelligence, 2160005.
J. Tan, T. Zhang, L. Zhao, X. Luo and Y. Y. Tang, 2021,“A Robust Image Representation Method Against Illumination and Occlusion Variations,” Image and Vision Computing 112, 104212.
L. Yin, C. Yu, Y. Wang, B. Zou and Y. Y. Tang, 2021, “Ultrarobust support vector registration,” Applied Intelligence 51 (6), 3664-3683.
B. Wang, D. C. Tao, R. Dong, Y. Y. Tang and X. Gao, 2021, “A Contour Co-Tracking Method for Image Pairs,” IEEE Transactions on Image Processing 30, 5402-5412.
Y. Nie, T. Zhang, L. Zhao, X. Ma, Y. Y. Tang and X. Liu, 2021, “Siamese Pyramid Residual Module with Local Binary Convolution Network for Single Object Tracking,” International Journal of Wavelets, Multiresolution and Information Processing, 19(6), 2150026.
Y. Wang, K. I. Kou, C. Zou and Y. Y. Tang, 2021, “Robust Sparse Representation in Quaternion Space,” IEEE Transactions on Image Processing 30, 3637-3649,.
L. X. Yang, K. Huang, X. Yang, Y. Zhang, Y. Xiang and Y. Y. Tang, 2021, “Defense Against Advanced Persistent Threat Through Data Backup and Recovery,” IEEE Transactions on Network Science and Engineering 8 (3), 2001-2013.
J. Tan, T. Zhang, L. Zhao, X. Luo and Y. Y. Tang, 2021, “Multi-Focus Image Fusion with Geometrical Sparse Representation,” Signal Processing: Image Communication 92, 116130.
L. Xu, L. Bai, J. Xiao, Q. Liu, E. Chen, X. Wang and Y. Y. Tang, 2021, “Multiple graph kernel learning based on GMDH-type neural network,” Information Fusion 66, 100-1101.
C. Zou, K. I. Kou, Y. Wang and Y. Y. Tang, 2021, “Quaternion block sparse representation for signal recovery and classification,” Signal Processing 179, 107849.
D. W. Huang, L. X. Yang, P. Li, X. Yang and Y. Y. Tang, 2021, “Developing Cost-Effective Rumor-Refuting Strategy Through Game-Theoretic Approach,” IEEE Systems Journal, 15(4), 5034-5045.
X. Ma, J. Gao, X. Liu, T. Zhang and Y. Y. Tang, 2021, “Probabilistic Non-Negative Matrix Factorization with Binary Components,” Mathematics 9 (11), 1189.

2020

J. Chen, L. X. Yang, X. F. Yang and Y. Y. Tang, 2020, “Cost-Effective Anti-Rumor Message-Pushing Schemes,” Physica A-Statistical Mechanics and Its Applications, 540, 123085.
Y. L. Wang, Y. Y. Tang, C. M. Zou, L. Q. Li and H. Chen, 2020, “Modal Regression Based Greedy Algorithm For Robust Sparse Signal Recovery, Clustering and Classification,” Neurocomputing, 372, 73-83.
L. Yang, P. Wei, C. Zhong, X. Li and Y. Y. Tang, 2020, “Protein Structure Prediction Based on BN-GRU Method,” International Journal of Wavelets, Multiresolution and Information Processing, 18(6) 1050045.
H. Jiang, B. Zou, C .Xu, J. Xu and Y. Y. Tang, 2020, “SVM-Boosting Based on Markov Resampling: Theory and Algorithm,” Neural Networks 131, 276-290.
Y. Cao, H. Qi, J. Gui, K. Li, Y. Y. Tang and J. Kwok, 2020, “Learning To Hash With A Dimension Analysis-Based Quantizer for Image Retrieval,” IEEE Transactions on Multimedia, 23, 3907-3918.
D. W. Huang, L. X. Yang, X. Yang, Y. Y. Tang and J. Bi, 2020, “Defending against Online Social Network Rumors through Optimal Control Approach,” Discrete Dynamics in Nature and Society, 6263748.
K. B. Shi, J. Wang, S. Zhong, Y. Y. Tang and J. Cheng, 2020, “Non-Fragile Memory Filtering of TS Fuzzy Delayed Neural Networks Based on Switched Fuzzy Sampled-Data Control,” Fuzzy Sets and Systems 394, 40-64.
H. Peng, K. Huang, L. X. Yang, X. Yang and Y. Y. Tang, 2020, “Dynamic Maintenance Strategy for Word-of-Mouth Marketing,” IEEE Access, 8, 126496-126503.
H. L. Yuan, J. Li, L. L. Lai and Y. Y. Tang, 2020, “Low-rank matrix regression for image feature extraction and feature selection,” Information Sciences 522, 214-226.
L. Zhao, Z. Shang, J. Tan, X. Luo, T. Zhang, Y. Wei and Y. Y. Tang, 2020, “Adaptive parameter estimation of GMM and its application in clustering,” Future Generation Computer Systems 106, 250-259.
K. B. Shi, S Zhong, Y. Y. Tang and J. Cheng, 2020, “Hybrid-driven finite-time H∞ sampling synchronization control for coupling memory complex networks with stochastic cyber attacks,” Neurocomputing 387, 241-254.
K. B. Shi, J. Wang, Y. Y. Tang and S. Zhong, 2020, “Reliable asynchronous sampled-data filtering of T–S fuzzy uncertain delayed neural networks with stochastic switched topologies,” Fuzzy Sets and Systems 381, 1-25.
J. Yang, Z. Lu, Y. Y. Tang, Z. Yuan and Y. Chen, 2020, “Quasi Fourier-Mellin Transform for Affine Invariant Features,” IEEE Transactions on Image Processing, 29, 4114-4129.
D. W. Huang, L. X. Yang, X. Yang, X. Zhong and Y. Y. Tang, 2020, “Evaluating the Performance of a Static Patching Strategy against Computer Viruses,” Complexity, 9408942.
L. X. Yang, P. Li, X. Yang, Y. Xiang and Y. Y. Tang, 2020, “Simultaneous Benefit Maximization of Conflicting Opinions: Modeling and Analysis,” IEEE Systems Journal 14 (2), 1623-1634.
A. Y. Qin, L. Xian, Y. Yang, T. P. Zhang and Y. Y. Tang, 2020, “Low-Rank Matrix Recovery from Noise via an MDL Framework-Based Atomic Norm,” Sensors, 20 (21), 6111.

2019

L. C. Zhao, Z. W. Shang, A. Y. Qin, T. P. Zhang, L. Zhao, Y Wei and Y. Y. Tang, 2019, “A Cost-Sensitive Meta-Learning Classifier: SPFCNN-Miner,” Future Generation Computer Systems-The International Journal of Escience, 100, 1031-1043.
J. Xu, C. Xu, B. Zou, Y. Y. Tang, J. T. Peng and X. G. You, 2019, “New Incremental Learning Algorithm with Support Vector Machines,” IEEE Transactions on Systems Man Cybernetics – Systems, 49(11), 2230-2241.
L. Yang, H. Su, C. Zhong, Z. Meng, H. Luo, X. Li, Y. Y. Tang and Y. Lu, 2019, “Hyperspectral image classification using wavelet transform-based smooth ordering,” International Journal of Wavelets Multiresolution and Information Processing, 17(6), 1950050.
Y. Zhang, Y. Y. Tang, B. Fang and Z. Shang, 2019, “Multi-object Tracking Using Deformable Convolution Networks with Tracklets Updating,” International Journal of Wavelets Multiresolution and Information Processing, 17(6), 1950042.
Y. Wang, C. Zou, Y. Y. Tang, L. Li and Z. Shang, 2019, “Cauchy greedy algorithm for robust sparse recovery and multiclass classification,” Signal Processing, 164, 284-294.
L. Yang, P. Wei, C. Zhong, Z. Meng, P. Wang, Y. Y. Tang, 2019, “A Fractal Dimension and Empirical Mode Decomposition-Based Method for Protein Sequence Analysis,” International Journal of Pattern Recognition and Artificial Intelligence, 3(11), 1940020.
Y. Wang, H. Cao, X. Jiang and Y. Y. Tang, 2019, “Recognition of Dorsal Hand Vein Based Bit Planes and Block Mutual Information,” Sensors, 19(17), 3718.
J. Wu, F. Liao, Z. Xu, Y. Y. Tang and Y. Xu, 2019, “Preview control for continuous-time singular stochastic systems,” International Journal of Wavelets Multiresolution and Information Processing, 17(5), 1950037.
L. Zhao, Z. Shang, L. Zhao, T. Zhang and Y. Y. Tang, 2019, “Software defect prediction via cost-sensitive Siamese parallel fully-connected neural networks,” Neurocomputing, 352, 64-74.
L. Dong, J. T. Zhou and Y. Y. Tang, 2019, “Content-Adaptive Noise Estimation for Color Images with Cross-Channel Noise Modeling,” IEEE Transactions on Image Processing, 28(8), 4161-4176.
T. Zhang, P. Li, L. Yang, X. Yang, Y. Y. Tang and B. Wu, 2019, “A discount Strategy in Word-of-Mouth Marketing,” Communications in Nonlinear Science and Numerical Simulation, 74, 167-179.
D. Huang, L. Yang, X. Yang, Y. Wu and Y. Y. Tang, 2019, “Towards Understanding the Effectiveness of Patch Injection,” Physica A-Statistical Mechanics and Its Applications, 526, 120956.
J. Zhao, L. Yang, X. Zhong, X. Yang, Y. Wu and Y. Y. Tang, 2019, “Minimizing the impact of a rumor via isolation and conversion,” Physica A-Statistical Mechanics and Its Applications, 526, 120867.
C. M. Zou, Y. Y. Tang, Y. L. Wang and Z. H. Luo, 2019, “Huber Collaborative Representation for Robust Multiclass Classification,” International Journal of Wavelets Multiresolution and Information Processing, 17(4), 1950020.
H. L. Ye, H. Li, B. Yang, F. L. Cao and Y. Y. Tang, 2019, “A Novel Rank Approximation Method for Mixture Noise Removal of Hyperspectral Images,” IEEE Transactions on Geoscience and Remote Sensing, 57(7), 4457-4469.
J. T. Peng, L. Q. Li, Y. Y. Tang, 2019, “Maximum Likelihood Estimation-Based Joint Sparse Representation for the Classification of Hyperspectral Remote Sensing Images,” IEEE Transactions on Neural Networks and Learning Systems, 30(6), 1790-1802.
H. Yuan, J. Li, L. L. Lai and Y. Y. Tang, 2019, “Joint Sparse Matrix Regression and Nonnegative Spectral Analysis for Two-Dimensional Unsupervised Feature Selection,” Pattern Recognition, 89, 119-133.
F. Xiong, Y. T. Qian, J. Zhou and Y. Y. Tang, 2019, “Hyperspectral Unmixing via Total Variation Regularized Nonnegative Tensor Factorization,” IEEE Transactions on Geoscience and Remote Sensing, 57(4), 2341-2357.
X. W. Zheng, Y. Y. Tang and J. T. Zhou, 2019, “A Framework of Adaptive Multiscale Wavelet Decomposition for Signals on Undirected Graphs,” IEEE Transactions on Signal Processing, 67(7), 1696-1711.
Y. Wang, Y. Y. Tang, L. Q. Li and X. Zheng, 2019, “Block sparse representation for pattern classification: Theory, extensions and applications,” Pattern Recognition, 88, 198-209.
A. L. Li, A. Y. Qin, Z. W. Shang and Y. Y. Tang, 2019, “Spectral-Spatial Sparse Subspace Clustering Based on Three-Dimensional Edge-Preserving Filtering for Hyperspectral Image,” International Journal of Pattern Recognition and Artificial Intelligence, 33(3), 1955003.
X. Zheng, Y. Y. Tang, J. Zhou, J. Pan, S. Yang, Y. Li and P. Wang, 2019, “Multi-Level Downsampling of Graph Signals via Improved Maximum Spanning Trees,” International Journal of Pattern Recognition and Artificial Intelligence, 33(3), 1958005
A. Qin, Z. Shang, J. Tian, Y. Wang, T. Zhang and Y. Y. Tang, 2019, “Spectral-Spatial Graph Convolutional Networks for Semi-supervised Hyperspectral Image Classification,” IEEE Geoscience and Remote Sensing Letters, 16(2), 241-245.
J. Chen, L. X. Yang, D. Huang, X. Yang and Y. Y. Tang, 2019, “Dynamic Discount Pricing in Competitive Marketing, “IEEE Access, 7, 145340-145347.
K. Huang, P. Li, L. Yang, X. Yang and Y. Y. Tang, 2019, “Seeking Best-Balanced Patch-Injecting Strategies through Optimal Control Approach,” Security and Communication Networks, 2315627.
T. Shu, B. Zhang and Y. Y. Tang, 2019, “Multi-View Classification via a Fast and Effective Multi-View Nearest-Subspace Classifier,” IEEE Access, 7, 49669-49679.
L. Zhao, Z. Shang, L. Zhao, A. Qin and Y. Y. Tang, 2019, “Siamese Dense Neural Network for Software Defect Prediction with Small Data,” IEEE Access, 7, 7663-7677.
Y. L. Wang, Y. Y. Tang, L. Q. Li, H. Chen and J. J. Pan, 2019, “Atomic Representation-Based Classification: Theory, Algorithm, and Applications,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(1), 6-19.
J, Yang, L. Zhang and Y. Y. Tang, 2019, “Mellin Polar Coordinate Moment and Its Affine Invariance,” Pattern Recognition, 85, 37-49.

2018

H. Li, X. He, D. Tao, Y. Y. Tang, and R. Wang, 2018, “Joint Medical Image Fusion, Denoising and Enhancement Via Discriminative Low-Rank Sparse Dictionaries Learning,” Pattern Recognition, 79, 130-146.
C. Pan, L. X. Yang, X. Yang, Y. Wu, and Y. Y. Tang, 2018, “An Effective Rumor-Containing Strategy,” Physica A, 500, 80-91.
L. Dong, J. Zhou and Y. Y. Tang, 2018, “Effective and Fast Estimation for Image Sensor Noise Via Constrained Weighted Least Squares,” IEEE Transactions on Image Processing, 27(6), 2715-2730.
C. Liu, Z. Shang, B. Lin and Y. Y. Tang, 2018, “A Semantic Tree Method for Image Classification and Video Action Recognition,” International Journal of Wavelets Multiresolution and Information Processing, 16(2), 184008.
K. Shi, Y. Y. Tang, S. Zhong, Y. Chun, X. G. Huang and W. Wang, 2018, “Nonfragile Asynchronous Control for Uncertain Chaotic Lurie Network Systems with Bernoulli Stochastic Process,” International Journal of Robust Nonlinear Control, 28(5) 1693-1714.
L. Liu, C. L. P. Chen, S. Li, Y. Y. Tang and L. Chen, 2018, “Robust Face Hallucination Via Locality-Constrained Bi-Layer Representation,” IEEE Transactions on Cybernetics, 48(4), 1189-1201.
B. Zou, C. Xu, Y. Lu, Y. Y. Tang, J. Xu and X. You, 2018, “K-Times Markov Sampling for SVMC,” IEEE Transactions Neural Networks Learning Systems, 29(4), 1328-1341.
D. Liao, Y. Qian and Y. Y. Tang, 2018, “Constrained Manifold Learning for Hyperspectral Imagery Visualization,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(4), 1213-1226.
W. Liu, X. Yang, D. P. Tao, J. Cheng and Y. Y. Tang, 2018, “Multiview Dimension Reduction Via Hessian Multiset Canonical Correlations,” Information Fusion, 41, 119-128.
W. Yang, B. Fang and Y. Y. Tang, 2018, “Fast and Accurate Vanishing Detection and Its Application in Inverse Perspective Mapping of Structured Road,” IEEE Transactions on Systems, Man, Cybernetics: Systems, 48(5), 755-766.
T. Xie, P. Ren, T. Zhang and Y. Y. Tang, 2018, “Distribution Preserving Learning for Unsupervised Feature Selection,” Neurocomputing, 289, 231-240.
W. Sun, J. T. Zhou, S. Y. Zhu and Y. Y. Tang, 2018, “Robust Privacy-Preserving Image Sharing Over Online Social Networks (OSNs),” ACM Transactions on Multimedia Computing Communications, and Applications, 14(1), 14, 1-22.
L. X. Yang, X. Yang and Y. Y. Tang, 2018, “A Bi-Virus Competing Spreading Model with Generic Infection Rates,” IEEE Transactions on Network Science and Engineering, 5(1), 2-13.
J. Bi, L. X. Yang, X. Yang, Y. B. Wu and Y. Y. Tang, 2018, “A Tradeoff Between the Losses Caused by Computer Viruses and the Risk of the Manpower Shortage,” PLoS ONE, DOI: 0.1371/journal. pone.0191101.
H. Yuan, X. Li, F. Xu, Y. Wang, L. Lai and Y. Y. Tang, 2018, “A Collaborative-Competitive Representation Based Classifier Model,” Neurocomputing, 275, 627-635.
L. Yang, P. Li, X. Yang, Y. Wu and Y. Y. Tang, 2018, “On the Competition of Two Conflicting Messages,” Nonlinear Dynamics, 91, 1853-1869.
H. Yuan, J. Zheng, L. Lai and Y. Y. Tang, 2018, “A Constrained Least Squares Regression Model,” Information Sciences, 429(3), 247-259.
P. Li, X. Yang, L. Yang, Q, Xiong and Y. Y. Tang, 2018, “The Modeling and Analysis of the Word-Of-Mouth Marketing,” Physica A, 493, 1-16.
C. Gong, T. Liu, Y. Y. Tang, J. Yang, J. Yang and D. Tao, 2018, “A Regularization Approach for Instance-Based Superset Label Learning,” IEEE Transactions on Cybernetics, 48(3) 967-978.
L. Chen, B. Fang, Z. Shang and Y. Y. Tang, 2018, “Tackling Class Overlap and Imbalance Problems in Software Defect Prediction,” Software Quality Journal, 26(1) 97-125.
P. Li, X. Yang, Q. Xiong, J. Wen and Y. Y. Tang, 2018, “Defending Against the Advanced Persistent Threat: An Optimal Control Approach,” Security and Communication Networks, 2018, 1-14.
L. Zhang, Q. Zhang, B. Du, X. Huang, Y. Y. Tang and D. Tao, 2018, “Simultaneous spectral-Spatial feature selection and extraction for hyperspectral images,” IEEE Transactions on Cybernetics, 48(1) 16-28.
H. L. Yuan, J. Zheng, L. L. Lai and Y. Y. Tang, 2018, “Semi-Supervised Graph-Based Retargeted Least Squares Regression,” Signal Processing, 142, 188-193.

2017

T. Shu, B. Zhang and Y. Y. Tang, 2017, “Novel Noninvasive Brain Disease Detection System Using A Facial Image Sensor,” Sensors, 17(2), 8-193.
J. Tian, T. Zhang, A. Qin, Z. Shang and Y. Y. Tang, 2017, “Learning the Distribution Preserving Semantic Subspace for Clustering,” IEEE Transactions on Image Processing, 26(12) 5950-5965.
X. Liu, G. He, S. Peng, Y. M. Cheung and Y. Y. Tang, 2017, “Efficient Human Motion Retrieval Via Temporal Adjacent Bag of Words and Discriminative Neighborhood Preserving Dictionary Learning,” IEEE Transactions on Human-Machine Systems, 47(6), 363-776.
J. Du, Z. Xu, Z. Mu, P. Wang and Y. Y. Tang, 2017, “Empirical Mode Decomposition—Window Fractal (EMDWF) Algorithm in Classification of Fingerprint of Medicinal Herbs,” International Journal of Pattern Recognition and Artificial Intelligence, 31(12), 1756017.
K. Shi, Y. Y. Tang, X. Liu and S. Zhong, 2017, “Secondary Delay-Partition Approach on Robust Performance Analysis for Uncertain Time – Varying Lurie Nonlinear Control System,” Optimal Control Applications and Methods, 38(6), 1208-1226.
Y. Wang, Y. Y. Tang and L. Li, 2017, “Spectral-Spatial Destriping of Hyperspectral Image Via Correntropy Based Sparse Representation and Unidirectional Huber–Markov Random Fields,” International Journal of Wavelets Multiresolution and Information Processing, 15(6), 1750056.
Y. Wu, P. Li, L. X. Yang, X. Yang and Y. Y. Tang, 2017, “A Theoretical Method for Assessing Disruptive Computer Viruses,” Physica A, 482, 325-336.
X. Liu, H. Zhang, Y. Cheung, X. You and Y. Y. Tang, 2017, “Efficient Single Image Dehazing and Denoising: An Efficient Multi-Scale Correlated Wavelet Approach,” Computer Vision Image Understanding, 162, 23-33.
T. Zhang, L. Yang, X. Yang, Y. Wu and Y. Y. Tang, 2017, “Dynamic malware containment under an epidemic model with alert,” Physica A, 470, 249-260.
X. Qian, H. Wang, Y. Zhao, X. Hou, R. Hong, M. Wang and Y. Y. Tang, 2017, “Image Location Inference by Multisaliency Enhancement,” IEEE Transactions on Multimedia, 19(4), 813-821.
Y. Lin, J. Chen, Y. Cao, Y. Zhou, L. Zhang, Y. Y. Tang and S. Wang, 2017, “Cross-Domain Recognition by Identifying Joint Subspaces of Source Domain and Target Domain,” IEEE Transactions on Cybernetics, 47(4), 1090-1101.
H. L. Yuan and Y. Y. Tang, 2017, “Spectral–Spatial Shared Linear Regression for Hyperspectral Image Classification,” IEEE Transactions on Cybernetics, 47(4), 934-945.
T. Shu, B. Zhang and Y. Y. Tang, 2017, “An Extensive Analysis of Various Texture Feature Extractors to Detect Diabetes Mellitus Using Facial Specific Regions,” Computers in Biology and Medicine, 83, 69-83.
H. Luo, Y. Y. Tang, Y. Wang, J. Wang, R. Aghai, J. Pan, R. Liu and L. Yang, 2017, “Hyperspectral Image Classification Using Metric Learning in One-Dimensional Embedding Framework,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(5), 1987-2001.
Q. Liu, D. Huang, Y. Wang, H. Wei and Y. Y. Tang, 2017, “Built-Up Area Detection Based on a Bayesian Saliency Model,” International Journal of Wavelets, Multiresolution and Information Processing, 15(3), 1750027.
Y. Wang, Y. Y. Tang and L. Li, 2017, “Correntropy Matching Pursuit with Application to Robust Digit and Face Recognition,” IEEE Transactions on Cybernetics, 47(6), 1354-1366.
X. Qian, D. Lu, Y. Wang, Z. Li, Y. Y. Tang and M. Wang, 2017, “Image Re-Ranking Based on Topic Diversity,” IEEE Transactions on Image Processing, 26(8), 3734-3747.
G. Yang, B. Fang and Y. Y. Tang, 2017, “Robust Face Recognition with Multi-Scale Weber Local Descriptor,” International Journal of Wavelets, Multiresolution and Information Processing., 15(5), 1750052.
L. Liu, L. Chen, C. Chen, Y. Y. Tang and C. Pun, 2017, “Weighted Joint Sparse Representation for Removing Mixed Noise in Image,” IEEE Transactions on Cybernetics, 47(3), 600-611.
M. Ye, Y. Qian, J. Zhou and Y. Y. Tang, 2017, “Dictionary Learning-Based Feature-Level Domain Adaptation for Cross-Scene Hyperspectral Image Classification,” IEEE Transactions on Geoscience and Remote Sensing, 55(3), 1544-1562.
Y. Qian, F. Xiong, S. Zeng, J. Zhou and Y. Y. Tang, 2017, “Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery,” IEEE Transactions on Geoscience and Remote Sensing, 5(3), 1776-1792.
L. Dong, J. Zhou and Y. Y. Tang, 2017, “Noise Level Estimation for Natural Images Based on Scale-Invariant Kurtosis and Piecewise Stationarity,” IEEE Transactions on Image Processing, 26(2), 1017-1030.
R. Lan, Y. Zhou and Y. Y. Tang, 2017, “Quaternionic Weber Local Descriptor of Color Images,” IEEE Transactions on Circuits and Systems for Video Technology, 27(2), 261-274.
Z. Y. He, S. Yi, Y. M. Cheung, X. G. You and Y. Y. Tang, 2017, “Robust object tracking via key patch sparse representation,” IEEE Transactions on Cybernetics, 47(2), 354-364.
Z. Ye, H. Li, Y. Song, J. Benediktsson and Y. Y. Tang, 2017, “Hyperspectral Image Classification Using Principal Components-Based Smooth Ordering and Multiple 1-D Interpolation,” IEEE Transactions on Geoscience and Remote Sensing, 55(2), 1199-1209.
L. Yang, P. Li, X. Yang and Y. Y. Tang, 2017, “Security Evaluation of the Cyber Networks Under Advanced Persistent Threats,” IEEE Access, 5, 20111-20123.
T, Shu, B. Zhang and Y. Y. Tang 2017, “Effective Heart Disease Detection Based on Quantitative Computerized Traditional Chinese Medicine Using Representation Based Classifiers,” Evidence-Based Complementary and Alternative Medicine, 7483639.
X. Wu, B. Fang, Y. Y. Tang, X. Zeng and C. Xing, 2017, “Reconstructed Error and Linear Representation Coefficients Restricted By-Minimization for Face Recognition Under Different Illumination and Occlusion,” Mathematical Problems in Engineering, 1458412.
Q. Peng, Y. Cheung, X. G. You and Y. Y. Tang, 2017, “A Hybrid of Local and Global Saliencies for Detecting Image Salient Region and Appearance,” IEEE Transactions on Systems, Man, Cybernetics: Systems, 47(1), 86-97.
K. Shi, Y. Y. Tang, Xi. Liu and S. Zhong, 2017, “Non-Fragile Sampled-Data Robust Synchronization of Uncertain Delayed Chaotic Lurie Systems with Randomly Occurring Controller Gain Fluctuation,” ISA Transactions, 66, 185-199.
J. Bi, X. Yang, Y. Wu, Q. Xiong, J. Wen and Y. Y. Tang, 2017, “On the Optimal Dynamic Control Strategy of Disruptive Computer Virus,” Discrete Dynamics in Nature and Society, 8390784.

2016

H. Luo, Y. Y. Tang, Y. Wang, J. Wang, L. Yang, C. Li and T. Hu, 2016, “Hyperspectral Image Classification Based on Spectral–Spatial One-Dimensional Manifold Embedding,” IEEE Transactions on Geoscience and Remote Sensing, 54(9), 5319-5340.
X. Zuo, X. Li, J. Xiao, Y. Y. Tang, R. Abbasi and L. Xu, 2016, “Linear Complexity of Generalized Cyclotomic Binary Sequences of Order 2d And Length 2pm,” International Journal of Wavelets, Multiresolution and Information Processing, 14(5), 1650040.
X. Zheng, Y. Y. Tang, J. J. Pan and J. Zhou, 2016, “Adaptive Multiscale Decomposition of Graph Signals,” IEEE Signal Processing Lett., 23(10), 1389-1393.
C. Liu, Z. Shang and Y. Y. Tang, 2016, “An Image Classification Method that Considers Privacy-Preservation,” Neurocomputing, 208, 80-98.
X. Liu, H. Zhang, Y. Y. Tang and J. Du, 2016, “Scene-Adaptive Single Image Dehazing Via Opening Dark Channel Model,” IET Image Processing, 10(11), 877-884.
W. Jiang, F. C. Liao and Y. Y. Tang, 2016, “Applications of the Preview Control Method to the Optimal Problem for Linear Continuous-Time Stochastic Systems with Time-Delay,” International Journal of Wavelets, Multiresolution and Information Processing, 14(6), 932-943.
K. Shi, X. Liu, Y. Y. Tang, H. Zhu and S. Zhong, 2016, “Some Novel Approaches on State Estimation of Delayed Neural Networks, ” Information Sciences, 372, 313-331.
X. Yang, Y. Zhu, J. Hong, L. Yang, Y. Wu and Y. Y. Tang, 2016, “The Rationality of Four Metrics of Network Robustness: A Viewpoint of Robust Growth of Generalized Meshes,” PLoS ONE, 11(8), 0161077.
Y. Zhang, X. Qian, X. Tan, J. Han and Y. Y. Tang, 2016, “Sketch-Based Image Retrieval by Salient Contour Reinforcement,” IEEE Transactions on Multimedia, 18(8), 1604-1615.
Z. He, X. Li, X. You, D. C. Tao and Y. Y. Tang, 2016, “Connected Component Model for Multi-Object Tracking,” IEEE Transactions on Image Processing, 25(8), 3698-3711.
Y. Li, J. Zhou, A. Cheng, X. Liu and Y. Y. Tang, 2016, “SIFT Keypoint Removal and Injection Via Convex Relaxation,” IEEE Transactions Information Forensics and Security, 11(8), 1722-1735.
X. Zhang, S. Yang, Y. Y. Tang and W. Zhang, 2016, “A Thermodynamics-Inspired Feature for Anomaly Detection on Crowd Motions in Surveillance Videos,” Multimedia Tools and Applications, 75(14), 8799-8826.
J. Chen, Y. Wang and Y. Y. Tang, 2016, “Person Re-Identification by Exploiting Spatio-Temporal Cues and Multi-View Metric Learning,” IEEE Signal Processing Letters, 23(7), 998-1002.
X. Liu, Y. Cheung and Y. Y. Tang, 2016, “Lip Event Detection Using Oriented Histograms of Regional Optical Flow and Low Rank Affinity Pursuit,” Computer Vision Image Understanding, 148, 153-163.
D. Liao, Y. T. Qian, J. Zhou and Y. Y. Tang, 2016, “A Manifold Alignment Approach for Hyperspectral Image Visualization with Natural Color,” IEEE Transactions on Geoscience and Remote Sensing, 54(6), 3151-3162.
H. Yang, D. Huang, Y. Wang, H. Wang and Y. Y. Tang, 2016, “Face Aging Effect Simulation Using Hidden Factor Analysis Joint Sparse Representation,” IEEE Transactions on Image Processing, 25(6), 2493-2507
D. Tao, Y. Guo, M. Song, Y. Li, Z. Yu and Y. Y. Tang, 2016, “Person Re-Identification by Dual-Regularized KISS Metric Learning,” IEEE Transactions on Image Processing, 25(6), 2726-2738.
X. Wang, H. Min, L. Zou, Y. Zhang, Y. Y. Tang and C. Chen, 2016, “An Efficient Level Set Method Based on Multi-Scale Image Segmentation and Hermite Differential Operator,” Neurocomputing, 188, 90-101.
J. Du, M. Shao, C. Zhai, J. Wang, Y. Y. Tang and C. Chen, 2016, “Recognition of Leaf Image Set Based on Manifold–Manifold Distance,” Neurocomputing, 188.
W. Jiang, B. Li, S. Li, Y. Y. Tang and C. Chen, 2016, “A New Prospective for Learning Automata: A Machine Learning Approach,” Neurocomputing, 188, 319-325.
T. Zhang, P. Ren, Y. Ge, Y. Zheng, Y. Y. Tang and C. Chen, 2016, “Learning Proximity Relations for Feature Selection,” IEEE Transactions on Knowledge and Data Engineering, 28(5), 1231-1244.
Y. Wang, Y. Y. Tang, L. Li and J. Wang, 2016, “Face Recognition Via Collaborative Representation Based Multiple One-Dimensional Embedding,” International Journal of Wavelets, Multiresolution and Information Processing, 14(2), 1640003.
J. Zhou, W. Sun, L. Dong, X. Liu, O. C. Au and Y. Y. Tang, 2016, “Secure Reversible Image Data Hiding Over Encrypted Domain Via Key Modulation,” IEEE Transactions on Circuits and Systems for Video Technology, 26(3), 441-452.
J. J. Pan and Y. Y. Tang, 2016, “A Mean Approximation Based Bidimensional Empirical Mode Decomposition with Application to Image Fusion,” Digital Signal Processing, 50, 67-71.
Y. Zheng, Y. Y. Tang and H. Cheng, 2016, “Quadratic Modeling of Wheeled Moving Platforms on Planes,” IEEE Transactions on Electrical and Electronic Engineering, 11(2), 192-197.
R. Lan, Y. Zhou and Y. Y. Tang, 2016, “Quaternionic Local Ranking Binary Pattern: A Local Descriptor of Color Images,” IEEE Transactions on Image Processing, 25(2), 566-579.
W. Wang, Y. T. Qian and Y. Y. Tang, 2016, “Hypergraph-Regularized Sparse NMF for Hyperspectral Unmixing,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(2), 681-694.
W. Yang, B. Fang, Y. Y. Tang and X. Qin, 2016, “A Temperature Compensation Model for Low Cost Quartz Accelerometers And Its Application In Tilt Sensing, ” Mathematical Problems in Engineering, 2016, 2950376.

2015

Y. Wang, Y. Y. Tang and L. Q. Li, 2015, “Robust Face Recognition via Minimum Error Entropy-Based Atomic Representation,” IEEE Transactions on Image Processing, 24(12), 5868-5878.
Y. L. Wang, Y. Y. Tang and L. Q. Li, 2015, “Minimum Error Entropy Based Sparse Representation for Robust Subspace Clustering,” IEEE Transactions on Signal Processing, 63(15), 4010-4021.
H. Yuan and Y. Y. Tang, 2015, “Learning with Hypergraph for Hyperspectral Image Feature Extraction,” IEEE Geoscience and Remote Sensing Letters, 12(8), 1695-1699.
Jie Xu, Y. Y. Tang, B. Zou, Z. B. Xu, L. Li, Y. Lu and B. Zhang, 2015, “The Generalization Ability of SVM Classification Based on Markov Sampling,” IEEE Transactions on Cybernetics, 45(6), 1169-1179.
L. Chen, B. Fang, Z. Shang and Y. Y. Tang, 2015, “Negative Samples Reduction in Cross-Company Software Defects Prediction,” Information and Software Technology, 62, 67-77.
Y. Y. Tang, Y. Lu and H. Yuan, 2015, “Hyperspectral Image Classification Based on Three-Dimensional Scattering Wavelet Transform,” IEEE Transactions on Geoscience and Remote Sensing, 53(5), 2467-2480.
J. Chen, Y. Y. Tang, C. Chen, Z. Shang and Y. Lin, 2015, “NNMap: A Method to Construct a Good Embedding for Nearest Neighbor Classification,” Neurocomputing, 152, 97-108.
Z. Zhao, L. Ma, Y. Cheung, X. Wu and Y. Y. Tang, C. Chen, 2015, “ApLeaf: An Efficient Android-Based Plant Leaf Identification System,” Neurocomputing, 151, 1112-1119.
L. Xu, B. Luo, Y. Y. Tang and X. Ma, 2015, “An Efficient Multiple Kernel Learning in Reproducing Kernel Hilbert Spaces (RKHS),” International Journal of Wavelets Multiresolution and Information Processing, 13(2), 1550008.
L. Yang, Y. Y. Tang, Y. Lu and H. Luo, 2015, “A Fractal Dimension and Wavelet Transform Based Method for Protein Sequence Similarity Analysis,” IEEE-ACM Transactions on Computational Biology and Bioinformatics, 12(2), 348-3595.
J. Xu, Y. Y. Tang, B. Zou, Z. Xu, L. Li and Y. Lu, 2015, “The Generalization Ability of Online SVM Classification Based on Markov Sampling,” IEEE Transactions on Neural Networks and Learning Systems, 26(3), 628-639.
K. Sun, P. Li, W. B. Tao and Y. Y. Tang, 2015, “Feature Guided Biased Gaussian Mixture Model for image matching,” Information Sciences, 295, 323-336.
H. Luo, Y. Y. Tang, C. Li and L. Yang, 2015, “Local and Global Geometric Structure Preserving and Application to Hyperspectral Image Classification,” Mathematical Problems in Engineering, Volume 2015, 917259.
H. Luo, Y. Y. Tang and L. Yang, 2015, “Subspace Learning via Local Probability Distribution for Hyperspectral Image Classification,” Mathematical Problems in Engineering, 2015, 145136.
J. Li, X. M. Qian, Q. Li, Y. Zhao, L. Wang and Y. Y. Tang, 2015, “Mining near duplicate image groups,” Multimedia Tools and Applications, 74(2), 655-669.
Y. Y. Tang, Y. Wang, L. Li and C. Chen, 2015, “Structural Atomic Representation for Classification,” IEEE Transactions on Cybernetics, 45(12), 2905-2913.
W. Chen, X. Dai, B. Pan and Y. Y. Tang, 2015, “Semi-supervised Discriminant Analysis Method for Face Recognition,” International Journal of Wavelets Multiresolution and Information Processing, 1550049, 13(6).
F. Liao, Y. Guo and Y. Y. Tang, 2015, “Design of an Optimal Preview Controller for Linear Time-Varying Discrete Systems in a Multirate Setting,” International Journal of Wavelets Multiresolution and Information Processing, 1550050, 13(6).
X. You, W. Ou, C. Lung, C. Chen, Q. Li, Z. Zhu and Y. Y. Tang, 2015, “Robust Nonnegative Patch Alignment for Dimensionality Reduction,” IEEE Transactions on Neural Networks and Learning Systems, 26(11), 2760-2774.
C. Chen, L. Liu, L. Chen, Y. Y. Tang and Y. Zhou, 2015, “Weighted Couple Sparse Representation with Classified Regularization for Impulse Noise Removal,” IEEE Transactions on Image Processing, 24(11), 4014-4026.
F. Lang, J. Zhou, Y. Y. Tang and Z. Shang, 2015, “A color Image Enhancement Algorithm Based on Quaternion Representation of Vector Rotation,” International Journal of Wavelets Multiresolution and Information Processing, 13(5), 1550038.
J. Du, Z. Xu, Z. Mu, Y. Y. Tang, L. Cui and T. Duan, 2015, “EMD fractal Feature Extraction Technique in Fingerprint of Medicinal Herbs,” International Journal of Wavelets Multiresolution and Information Processing, 13(4), 1550022.
T. Xia and Y. Y. Tang, 2015, “Biologically Inspired Small Infrared Target Detection Using Local Contrast Mechanisms,” International Journal of Wavelets Multiresolution and Information Processing, 13(4), 1550025.
H. Yuan and Y. Y. Tang, 2015, “Sparse Representation Based on Set-to-Set Distance for Hyperspectral Image Classification,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8 (6), 2464-2472.

2014

Y. Y. Tang, H. Yuan and L. Li, 2014, “Manifold-Based Sparse Representation for Hyperspectral Image Classification,” IEEE Transactions on Geoscience and Remote Sensing, 52(12), 7606-7618.
Y. Y. Tang, T. Xia, Y. Wei, H. Li and L. Li, 2014, “Hierarchical Kernel-Based Rotation and Scale Invariant Similarity,” Pattern Recognition, 47(4), 1674–1688.
Y. Y. Tang, L. H. Yang and H. Li, 2014, “Image Transform Based on Integral Equation-Wavelet Approach,” World Academy of Science, Engineering and Technology, 85, 735-741.
Y. Y. Tang, Z. Shao, F. Lang, X. Xu and R. Yeh, 2014, “On the Circular-L(2,1)-Labelling for Strong Products of Paths and Cycles,” IET Communications, 8(5), 774-779.
B. Zou, Y. Y. Tang, Z. Xu, L. Li, Jie Xu, and Y. Lu, 2014, “The Generalization Performance of Regularized Regression Algorithms Based on Markov Sampling,” IEEE Transactions on Cybernetics, 44(9), 1497-1507.
R. Liu, Y. Y. Tang and B. Fang, 2014, “Topological Coding and Its Application in the Refinement of SIFT,” IEEE Transactions on Cybernetics, 44(11), 2155-2166.
J. Chen, Y. Y. Tang, C. Chen, B. Fang, Y. Lin and Z. Shang, 2014, “Multi-Label Learning with Fuzzy Hypergraph Regularization for Protein Subcellular Location Prediction,” IEEE Transactions on Nanobioscience, 13(4), 438-447.
H. Yuan and Y. Y. Tang, 2014, “A Novel Sparsity-Based Framework Using Max Pooling Operation for Hyperspectral Image Classification,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7 (8), 3570-3576.
H. Yuan, Y. Y. Tang, Y. Lu, L. Yang and H. Luo, 2014, “Spectral-Spatial Classification of Hyperspectral Image Based on Discriminant Analysis,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(6), 2035-2043.
H. Yuan, Y. Y. Tang, Y. Lu, L. Yang and H. Luo, 2014, “Hyperspectral Image Classification Based on Regularized Sparse Representation,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7 (6), 2174-2182.
T. Zhang, Y. Y. Tang and B. Fang, 2014, “An Approximate Closed-Form Solution to Correlation Similarity Discriminant Analysis,” Neurocomputing, 135, 284-298.
J. Gui, D. Tao, Z. Sun, Y. Luo, X. You and Y. Y. Tang, 2014, “Group Sparse Multiview Patch Alignment Framework with View Consistency for Image Classification,” IEEE Transactions on Image Processing, 23(7) 3126-3137.
J. Yu, Y. Rui, Y. Y. Tang and D. C. Tao, 2014, “High-Order Distance-Based Multiview Stochastic Learning in Image Classification,” IEEE Transactions on Cybernetics, 44 (12) 2431-2442.
X. Qian, X. Hua, Y. Y. Tang and T. Mei, 2014, “Social Image Tagging with Diverse Semantics,” IEEE Transactions on Cybernetics, 44 (12), 2493-2508.
J. Zhou, O. Au, G. Zhai, Y. Y. Tang and X. Liu, 2014, “Scalable Compression of Stream Cipher Encrypted Images Through Context-Adaptive Sampling,” IEEE Transactions on Information Forensics and Security, 9 (11), 1857-1868.
J. Zhou, X. Liu, O. Au and Y. Y. Tang, 2014, “Designing an Efficient Image Encryption-Then-Compression System via Prediction Error Clustering and Random Permutation,” IEEE Transactions on Information Forensics and Security, 9(1), 39-50.
H. L, G. Xiao, T. Xia, Y. Y. Tang and L. Li, 2014, “Hyperspectral Image Classification Using Functional Data Analysis,” IEEE Transactions on Cybernetics, 44 (9), 1544-1555.
C. Chen, H. Li, Y. Wei, T. Xia and Y. Y. Tang, 2014, “A Local Contrast Method for Small Infrared Target Detection,” IEEE Transactions on Geoscience and Remote Sensing, 52(2), 574-581.
J. Xu, Y. Y. Tang, B. Zou, Z. B. Xu, L. Q. Li and Y. Lu, 2014, “Generalization performance of Gaussian kernels SVMC based on Markov sampling,” Neural Networks, 53(5), 40-51.
H. Li, H. Li, Y. Wei, Y. Y. Tang and Q. Wang, 2014, “Sparse-based Neural Response for Image Classification,” Neurocomputing, 144, 198–207.
L. Yang, Y. Y. Tang, X. Feng and L. Sun, 2014, “Integral Equation-Wavelet Collocation Method for Geometric Transformation and Application to Image Processing,” Abstract and Applied Analysis, 2014, 798080.
M. Cheng, C. Pun and Y. Y. Tang, 2014, “Nonnegative Class-Specific Entropy Component Analysis with Adaptive Step Search Criterion,” Pattern Analysis and Applications, 17(1), 113-127.
R. Liu, Y. Y. Tang, B. Fang and J. Pi, 2014, “An enhanced version and an incremental learning version of visual-attention-imitation convex hull algorithm,” Neurocomputing, 133, 231–236.
W. Liu, D. Tao, J. Cheng and Y. Y. Tang, 2014, “Multiview Hessian Discriminative Sparse Coding for Image Annotation,” Computer Vision and Image Understanding, 118, 50-60.
W. Ou, X. You, D. Tao, P. Zhang, Y. Y. Tang and Z. Zhu, 2014, “Robust Face Recognition Via Occlusion Dictionary Learning,” Pattern Recognition, 47(4), 1559–1572.
Y. Zheng, H. Cheng, Y. Y. Tang and B. Fang, 2014, “Optimized Trajectory Recovery of On-Road Vehicles From Monocular Videos with Multiple Constraints,” IEEE Transactions on Electrical and Electronic Engineering, 9(2), 200–206.
X. Liu, S. Peng, Y. Cheung, Y. Y. Tang and J. Du, 2014, “Active Contours with a Joint and Region-Scalable Distribution Metric for Interactive Natural Image Segmentation,” IET Image Processing, 8 (12), 824-832.
J. Chen, Y. Y. Tang, C. Philip Chen, B. Fang, Z. Shang and Y. Lin, 2014, “Similarity Measure Learning in Closed-Form Solution for Image Classification,” Scientific World Journal, 747105.
Z. Zhang, L. Liu, W. Tao and Y. Y. Tang, 2014, “Confidence-driven Infrared Target Detection,” Infrared Physics & Technology, 66, 78-83.
J. Du, C. Zhai, Y. Guo, Y. Y. Tang and C. Chen, 2014, “Recognizing Complex Events in Real Movies by Combining Audio and Video Features,” Neurocomputing, 137, 89-95.
F. Lang, J. Zhou, Y. Y. Tang, H. Yu, S. Cang and Z. Shang, 2014, “Characteristics analysis of wavelet coefficients and its applications in image compression,” International Journal of Wavelets Multiresolution and Information Processing, 12(3), 1450028.
L. Yang, Y. Y. Tang and Q. Sun, 2014, “Implementation of 2D Discrete Wavelet Transform by Number Theoretic Transform and 2D Overlap-Save Method,” Mathematical Problems in Engineering, 532979.

2013

Y. Lin, Y. Y. Tang, B. Fang, Z. Shang, Y. Huang and S. Wang, 2013, “A Visual-Attention Model Using Earth Mover’s Distance-Based Saliency Measurement and Nonlinear Feature Combination,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(2), 314-328.
B. Zou, L. Li, Z. Xu, T. Luo and Y. Y. Tang, 2013, “Generalization Performance of Fisher Linear Discriminant Based on Markov Sampling,” IEEE Transactions on IEEE Transactions on Neural Networks and Learning Systems, 26, 24(2), 288-300.
H. Chen, Y. Tang, L. Li, Y. Yuan, X. Li and Y. Y. Tang, 2013, “Error Analysis of Stochastic Gradient Descent Ranking,” IEEE Transactions on Cybernetics, 43(3), 898-909.
H. Zhao, Z. Shang, Y. Y. Tang and B. Fang, 2013, “Multi-focus Image Fusion Based on the Neighbor Distance,” Pattern Recognition, 46(3), 1002-1011.
Y. Zheng, B. Fang, Y. Y. Tang, T. Zhang and R. Liu, 2013, “Learning Orthogonal Projections for Isomap,” Neurocomputing, 103, 149-154.
X. Qian, Y. Y. Tang, Z. Yan and K. Hang, 2013, “ISABoost: A Weak Classifier Inner Structure Adjusting Based Adaboost Algorithm – ISABoost Based Application in Scene Categorization,” Neurocomputing, 103, 104-113.
W. Yang, Y. Y. Tang, B. Fang, Z. Shang and Y. Lin, 2013, “Visual Saliency Detection with Center Shift,” Neurocomputing, 103, 63-74, 2013.
J. Peng, L. Li and Y. Y. Tang, 2013, “Combination of activation functions in extreme learning machines for multivariate calibration,” Chemometrics and Intelligent Laboratory Systems, 120, 53-58.
H. Chen, Y. Zhou, Y. Tang, Y. Y. Tang and Z. Pan, 2013, “Generalization Performance of Support Vector Classifiers for Density Level Detection,” Neurocomputing,119, 434-438.
H. Chen, Y. Zhou, Y. Y. Tang, L. Li and Z. Pan, 2013, “Convergence Rate of the Semi-Supervised Greedy Algorithm,” Neural Networks, 44, 44-50.
X. Qian, X. Hou, Y. Y. Tang, H. Wang and Z. Li, 2013, “Hidden Conditional Random Field-based Soccer Video Events Detection,” IET Image Processing, 6(9), 1338-1347.
B. Xu, Z. Shang, Y. Y. Tang, B. Fang and T. Zhang, 2013, “Occlusion Robust Face Recognition with Scattering Operator in Gradient Domain,” International Journal of Wavelets Multiresolution and Information Processing, 11(1), 1350001.
Z. Gong, J. Guo, Y. Y. Tang and P. Wang, 2013, “Filtering Terms from the Web for Image Annotations,” International Journal of Pattern Recognition and Artificial Intelligence, 27(1), 1354002.
R. Alsaidi, H. Li, Y. T. Wei, R. Khaji and Y. Y. Tang, 2013, “Hierarchical Sparse Method with Applications in Vision and Speech Recognition,” International Journal of Wavelets Multiresolution and Information Processing, 11(2), 1350016-1-20.
H. Chen, Z. Pan, L. Li and Y. Y. Tang, 2013, “Error Analysis of Coefficient-Based Regularized Algorithm for Density-Level Detection,” Neural Computation, 25, 1107-1121.
Z. Fu, C. Deng and Y. Y. Tang, 2013, “A Method for Construction of Bivariate N-Band Wavelet Tight Frames,” International Journal of Wavelets Multiresolution and Information Processing, 11(3), 1350023.
W. Yang, B. Fang, Y. Y. Tang, J. Qian, X. Qin and W. Yao, 2013, “A Robust Inclinometer System with Accurate Calibration of Tilt and Azimuth Angles,” IEEE Sensors Journal, 13(6), 2313-2321.

2012

T. Zhang, Y. Y. Tang, B. Fang and Y. Xiang, 2012, “Document Clustering in Correlation Similarity Measure Space,” IEEE Transactions on Knowledge Data Engineering, 24(6), 1002-1013.
S. Zeng, Y. Y. Tang, Y. Wei and H. Qin, 2012, “An Algorithm of Detecting Outliers in SVR,” International Journal of Wavelets, Multiresolution and Information Processing, 10(5), 1250047.
J. Chen, Y. Y. Tang, B. Fang and C. Guo, 2012, “In Silico Prediction of Toxic Action Mechanisms of Phenols for Imbalanced Data with Random Forest Learner,” Journal of Molecular Graphics and Modeling, 35(1), 21-27.
H. Chen, Y. Y. Tang, B. Fang, L. Zhou, 2012,“A Fusion Framework for Face Recognition under Varying Illumination Based on Multi-Scale Analysis,” International Journal of Wavelets, Multiresolution and Information Processing, 10(3), 1250029.
R. Lan, J. Yang, Y. Jiang, Z. Song and Y. Y. Tang, 2012, “An Affine Invariant Discriminate Analysis with Canonical Correlation Analysis,” Neurocomputing, 86(1), 184-192.
W. Chen, W. Wang, J. Yang and Y. Y. Tang, 2012, “Supervised Regularization Locality-Preserving Projection Method for Face Recognition,” International Journal of Wavelets Multiresolution And Information Processing, 10(6), 1250053.
R. Liu, B. Fang, Y. Y. Tang, J. Wen and J. Qian, 2012, “A Fast Convex Hull Algorithm with Maximum Inscribed Circle Affine Transformation,” Neurocomputing, 77(1), 212-221.
J. Wen, B. Fang, J. Chen, Y. Y. Tang and H. Chen, 2012, “Fragmented Edge Structure Coding for Chinese Writer Identification,” Neurocomputing, 86(1): 45-51.

2011

Y. Y. Tang, L. Cui and N. Lin, 2011, “Wavelet Decomposition of Pseudo-Motion Image and Application to Frequency Segmentation,” International Journal of Pattern recognition and Artificial Intelligence, 25(7), 1089-1112.
K. Huang, D. Tao, Y. Y. Tang, X. Li and T. Tan, 2011, “Biologically Inspired Features for Scene Classification in Video Surveillance,” IEEE Transactions on Systems, Man, and Cybernetics, Part B, 41(1), 307-313.
M. Cheng, B. Fang, Y. Y. Tang and H. Chen, 2011, “A Computational and Theoretical Analysis of Local Null Space Discriminant Method for Pattern Classification,” International Journal of Pattern Recognition and Artificial Intelligence, 25(1), 117-134.
M. Cheng, B. Fang, C. M. Pun and Y. Y. Tang, 2011, “Kernel-view Based Discriminant Approach for Embedded Feature Extraction in High-dimensional Space,” Neurocomputing, 74(9), 1478-1484.
H. Chen, Y. Y. Tang, B. Fang and P. Wang, 2011, “A Multi-Layer Contrast Analysis Method for Texture Classification Based on LBP,” International Journal of Pattern Recognition and Artificial Intelligence, 25(1), 147-155.
H. Chen, Y. Y. Tang and B. Fang, 2011, “Illumination Invariant Face Recognition Using FABEMD Decomposition with Detail Measure Weight,” International Journal of Pattern Recognition and Artificial Intelligence, 25(8), 1261-1273.
F. Liao, Y. Y. Tang, H. Liu and Y. Wang, 2011, “Design of an Optimal Preview Controller for Continuous-Time Systems,” International Journal of Wavelets, Multiresolution and Information Processing, 9(4), 655-673.
G. He, Y. Y. Tang, B. Fang and P. Wang, 2011, “Bionic Face Recognition Using Gabor Transformation,” International Journal of Pattern Recognition and Artificial Intelligence, 25(3), 391-402.

2010

T. Zhang, B. Fang, Y. Y. Tang, Z. hang and B. Xu, 2010, “Generalized Discriminant Analysis: A Matrix Exponential Approach,” IEEE Transactions on Systems, Man, and Cybernetics (B), 40(1), 186-197.
M. Cheng, B. Fang, Y. Y. Tang, T. Zhang and J. Wen, 2010, “Incremental Embedding and Learning in the Local Discriminant Subspace with Application to Face Recognition,” IEEE Transactions on Systems, Man, and Cybernetics (C), 40(5), 580-591.
M. Cheng, B. Fang, J. Wen and Y. Y. Tang, 2020, “Marginal Discriminant Projections: An Adaptable Marginal Discriminant Approach to Feature Reduction and Extraction,” Pattern Recognition Letters, 31(13), 1965-1974.
T. Zhang, B. Fang, Y. Y. Tang, Z. Shang and G. He, 2010, “A Least-Squares Model to Orthogonal Linear Discriminant Analysis,” International Journal of Pattern Recognition and Artificial Intelligence, 24(4), 635-650.
B. Liao, Y. Y. Tang and L An, 2010, “On Lorenz-like Dynamic Systems with Strengthened Nonlinearity and New Parameters,” International Journal of Wavelets, Multiresolution and Information Processing, 8(2), 293-311.
L. Cui, Y. Wei, Y. Y. Tang and H. Li, 2010, “Gabor-Based Tensor Local Discriminant Embedding and its Application on Palmprint Recognition,” International Journal of Wavelets, Multiresolution and Information Processing, 8(2), 327-342.
T. Zhang, B. Fang, Y. Y. Tang and Z. Shang, 2010, “Locality Preserving Nonnegative Matrix Factorization with Application to Face Recognition,” International Journal of Wavelets, Multiresolution and Information Processing, 8(5): 835-846.
X. Yang, Q. Dong and Y. Y. Tang, 2010, “ Embedding Meshes/Tori In Faulty Crossed Cubes,” Information Processing Letters, 110(14-15), 559-564.
H. Li, Y. Wei, L. Li and Y. Y. Tang, 2010, “Infrared Moving Target Detection and Tracking Based on Tensor Locality Preserving Projection,” Infrared Physics & Technology, 53, 77-83.

2009

T. Zhang, Y. Y. Tang, B. Fang, Z. Shang and X. Liu, 2009, “Face Recognition Under Varying Illumination Using Gradientfaces.” IEEE Transactions on Image Processing, 18(11), 2599-2606.
J. Wen, B. Fang, Y. Y. Tang and T. Zhang, 2009, “Model-based Signature Verification with Rotation Invariant Features,” Pattern Recognition, 42(7), 1458-1466.
J. Huang, X. You, Y. Y. Tang, L. Du and Y. Yuan, 2009, “A Novel Iris Segmentation Using Radial-Suppression Edge Detection,” Signal Processing, 89(12), 2630-2643.
B. Fang, M. Cheng, Y. Y. Tang and G. He, 2009, “Improving the Discriminant Ability of Local Margin Based Learning Method by Incorporating the Global Between-Class Separability Criterion,” Neurocomputing, 73(1-3), 536-541.
D. Zhang, X. You, P. Wang, S. Yanushkevich and Y. Y. Tang, 2009, “Facial Biometrics Using Nontensor Product Wavelet and 2D Discriminant Techniques,” International Journal of Pattern Recognition and Artificial Intelligence, 23(3),521-543.
J. Wen, B. Fang, Y. Y. Tang, P. Wang, M. Cheng and T. Zhang, 2009,“Combining EODH and Directional Gradient Density for Offline Signature Verification,” International Journal of Pattern Recognition and Artificial Intelligence, 23(6), 1161-1177.
T. Zhang, B. Fang, Y. Yan, Y. Y. Tang, Z. Shang, D. H. Li and F. Lang, 2009, “Multiscale Facial Structure Representation for Face Recognition under Varying Illumination,” Pattern Recognition, 42(2), 251-258.
H. Chen, L. Li and Y. Y. Tang, 2009, “Analysis of Classification with a Reject Option,” International Journal of Wavelets, Multiresolution and Information Processing, 7(3), 375-385.
Y. Y. Tang, 2008, “Status of Pattern Recognition with Wavelet Analysis,” Frontiers of Computer Science, 2(3), 268-294.

2008

T. Zhang, B. Fang, Y. Y. Tang, G. He and J. Wen, 2008, “Topology Preserving Nonnegative Matrix Factorization for Face Recognition,” IEEE Transactions on Image Processing, 17(4), 574-584.
Z. He, X. You and Y. Y. Tang, 2008, “Writer Identification of Chinese Handwriting Documents Using Hidden Markov Tree Model,” Pattern Recognition, 41(4), 1295-1307.
Z. He, X. You and Y. Y. Tang, 2008, “Writer Identification Using Global Wavelet-based Features,” Neurocomputing, 71(10-12), 1832-1841.
T. Zhang, B. Fang, W. Liu, Y. Y. Tang, G. He and J. Wen, 2008, “Total Variation Norm-Based Nonnegative Matrix Factorization for Identifying Discriminant Representation of Image Patterns,” Neurocomputing, 71(10-12), 1824-1831.
Z. Shang, Y. Y. Tang, B. Fang, J. Wen and Y. Ong, 2008, “Multiresolution Signal Decomposition and Approximation Based on Support Vector Machines,” International Journal of Wavelets, Multiresolution and Information Processing, 6(4), 593-607, 2008.
Q. Dong, X. Yang, J. Zhao and Y. Y. Tang, 2008, “Embedding a Family of Disjoint 3D Meshes into a Crossed Cube,” Information Sciences, 178(11), 2396-2405.
X. Yang, Y. Y. Tang and J. Cao, 2008, “Global Asymptotic Stability of a Family of Difference Equations,” Computers & Mathematics with Applications, 56(10), 2643-2649.
X. Yang, Y. Y. Tang and J. Cao, 2008, “Embedding Torus in Hexagonal Honeycomb Torus,” IET Computers & Digital Techniques, 2(2), 86-93, 2008.
X. Yang, Y. Y. Tang, J. Cao and Q. Lu, 2008, “Embedding Even-Length Cycles in a Hexagonal Honeycomb Mesh,” International Journal of Computer Mathematics, 85(2), 201-209.
X. Yang, G. Megson, Y. Y. Tang and Y. Xing, 2008, “Largest Connected Component of a Star Graph With Faulty Vertices,” International Journal of Computer Mathematics, 85(12), 1771-1778.

2007

X. Yang and Y. Y. Tang, 2007, “Efficient Fault Identification of Diagnosable Systems under the Comparison Model,” IEEE Transactions on Computers, 56(12), 1612-1618.
X. You and Y. Y. Tang, 2007, “Wavelet-based Approach to Character Skeleton,” IEEE Transactions on Image Processing, 16(5), 1220-1231.
X. Yang and Y. Y. Tang, 2007, “A (4n – 9)/3 Diagnosis Algorithm for Hypercube Networks,” Information Sciences, 177(8), 1771-1781.
X. Yang, D. Evans, Y. Y. Tang and X. Liao, 2007, “Robust Global Periodicity of Interval Bidirectional Associative Memory Networks with Finite Distributed Delays,” International Journal of Systems Science, 38(7), 577-584.
Y. Y. Tang, 2007, “Remarks on Different Reviews of Chinese Character Recognition,” Frontiers of Computer Science, 1(2), 123-125.
H. Li, L. Li and Y. Y. Tang, 2007, “Mono-Component Decomposition of Signals Based on Blaschke Basis,” International Journal of Wavelets, Multiresolution and Information Processing, 5(6), 941-956.
B. Fang, X. You, W. Chen and Y. Y. Tang, 2007, “Matching Algorithm Using Wavelet Thinning Features for Offline Signature Verification,” International Journal of Wavelets, Multiresolution and Information Processing, 5(1), 27-38.

2006

B. Fang and Y. Y. Tang, 2006, “Elastic Registration for Retinal Images Based on Reconstructed Vascular Trees,” IEEE Transactions on Biomed. Engineering, 53(6), 1183-1187.
J. Du, Y. Y. Tang, J. Wang and Z. Jiang, 2006, “Improving Feature Extraction in Fingerprint of Medicinal Herbs via Wavelet Transform and Fractal Technique,” Journal of Chemometrics, 20(11-12), 476-383.
F. Liao, L. Xhao, Y. Y. Tang and H. Liu, 2006, “Absolute Stability of Genaral Lurie Indirect Control Large-scale Systems,” Journal of Basic Science and Engineering,114(4), 579-588.
X. Yang, Y. Y. Tang, Q. Lu and Z. He, 2006, “Optimal Doublecast Path in Hexagonal Honeycomb Mesh,” Applied Mathematics and Computation, 182(2), 1267-1279.
X. Yang, X. Liao, Y. Y. Tang and D. Evans, 2006, “Guaranteed Attractivity of Equilibrium Points in A Class of Delayed Neural Networks,” International Journal of Bifurcation and Chaos, 16(9), 2737-2744.
L. Li and Y. Y. Tang, 2006, “Wavelet-Hough Transform with Applications in Edge and Target Detections,” International Journal of Wavelets, Multiresolution and Information Processing, 4(3), 567-587.
X. You, Q. Chen, B. Fang and Y. Y. Tang, 2006, “Thinning Character using Modulus Minima of Wavelet Transform,” International Journal of Pattern Recognition and Artificial Intelligence, 20(3), 361-376.
Z. He, X. You, Y. Y. Tang, B. Fang and J. Du, 2006, “Handwriting-Based Personal Identification,” International Journal of Pattern Recognition and Artificial Intelligence, 20(2), 209-225.
W. Chen, X. You, B. Fang, Y. Y. Tang and J. Huang, 2006, “Wavelet Nature Boundary Element Method for the Neumann Exterior Problem of Stokes Equations,” International Journal of Wavelets, Multiresolution and Information Processing, 4(1), 23-40.

2005

B. Fang and Y. Y. Tang, 2005, “Improved Class Statistics Estimation for Sparse Data Problems in Off-line Signature Verification,” IEEE Transactions on Systems, Man, and Cybernetics (C), 35(3), 276-286.
F. Liu and Y. Y. Tang, 2005, “Estimation for Fractal Signals Based on Dyadic Wavelet,” IEICE Electronic Express 2(2), 54-59.
X. Jing, H. Wong, D. Zhang and Y. Y. Tang, 2005, “An Uncorrelated Fisherface Approach,” Neurocomputing 67, 328-334.
Y. Guan, S. Lu and Y. Y. Tang, 2005, “Characterization of Compactly Supported Refinable Splines Whose Shifts form a Riesz Basis,” Journal of Approximation Theory 133(2), 245-250.
X. Yang, D. Evans, G. Megson and Y. Y. Tang, 2005, “On the Path-Connectivity Vertex-Pancyclicity and Edge-Pancyclicity of Crossed Cubes,” Neural Parallel & Scientific Computations, 13, 107-118.
K. Lau, P. Yuen and Y. Y. Tang, 2005, “Directed Connection Measurement for Evaluating Reconstructed Stroke Sequence in Handwriting Images,” Pattern Recognition, 38(3), 323- 339.
X. Yang, X. Liao, D. Evans and Y. Y. Tang, 2005, “Existence and Stability of Periodic Solution in Impulsive Hopfield Neural Networks with Finite Distributed Delays” Physics Letters A, 343(1-3), 108-116.
B. Fang, X. You, Y. Y. Tang, and W. Chen, 2005, “Morphological Structure Recognition of Retinal Vessels in Fundus Images,” International Journal of Pattern Recognition and Artificial Intelligence, 19(7), 937-948.
K. Lau, P. Yuen and Y. Y. Tang, 2005, “Universal Writing Method for Recovery of Writing Sequence of Static Handwriting Images,” International Journal of Pattern Recognition and Artificial Intelligence, 19(5), 603-630.
X. You, B. Fang, Y. Y. Tang and Z. He, 2005, “A Wavelet-Based Approach to Ridge Thinning in Fingerprint Images,” International Journal of Pattern Recognition and Artificial Intelligence, 19(5), 631-645.
Z. Liao and Y. Y. Tang, 2005, “Signal Denoising Using Wavelets and Block Hidden Markov Model,” International Journal of Pattern Recognition and Artificial Intelligence, 19(5), 681-700.
J. Yang, L. Li and Y. Y. Tang, 2005, “Construction of Compactly Supported Bivariate Orthogonal Wavelets by Univariate Orthogonal Wavelets,” Acta Mathematica Scientia, 25(2), 233-242.
X. Jing, Y. Y. Tang and D. Zhang, 2005, “A Fourier-LDA Approach for Image Recognition,” Pattern Recognition, 38(3), 453-457.

2004

X. Jing, D. Zhang and Y. Y. Tang, 2004, “Improved LDA Approach,” IEEE Transactions on Systems, Man, and Cybernetics (B), 34(10), 1942-1951.
T. Huang, J. Leng, E. Wachspress and Y. Y. Tang, 2004, “Characterization of H-matrices,” Computers & Mathematics with Applications, 48(10-11), 1587-1601.
W. Zhang, Y. Y. Tang and X. You, 2004, “Fingerprint Enhancement Using Wavelet Transform Combined with Gabor Filter,” International Journal of Pattern Recognition and Artificial Intelligence, 18(8), 1-16.

2003

Y. Y. Tang and X. You, 2003, “Skeletonization of Ribbon-like Shapes Based on A New Wavelet Function,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(9), 1118-1133.
P. Shui, Z. Bao and Y. Y. Tang, 2003, “Three-Band Biorthogonal Interpolating Complex Wavelets with Stopband Suppression via Lifting Scheme,” IEEE Transactions on Signal Processing, 51(5), 1293-1305.
L. Yang, C. Y. Suen and Y. Y. Tang, 2003, “A Width-Invariant Property of Curves Based on Wavelet Transform with a Novel Wavelet Function,” IEEE Transactions on Systems, Man, and Cybernetics (B), 33(3), 541-548.
S. Wang, G. Zhu and Y. Y. Tang, 2003, “Feature Extraction of Radar Multiple-Target Echoes Using Wavelet Packet Transform with the Best Bases,” International Journal of Recognition and Artificial Intelligence, 17(1), 127-150.
S. Yang, Z. Cheng and Y. Y. Tang, 2003. “Approximate Sampling Theorem for Bivariate Continuous Function,” Applied Mathematics and Mechanics-English Edition, 24(11), 1355-1361.
Y. Qian and Y. Y. Tang, 2003, “Data Clustering Analysis Based on Wavelet Feature Extraction,” Chinese Journal of Electronics, 12(3), 441-446.
B. Fang, C. Leung, Y. Y. Tang, K. Tse, P. Kwok and Y. Wong, 2003, “Off-line Signature Verification by the Tracking of Feature and Stroke Positions,” Pattern Recognition, 36(1), 91-101.

2002

Y. Qian, C. Y. Suen and Y. Y. Tang, 2002, “Sequential Combination Methods for Data Clustering Analysis,” Journal of Computer Science and Technology, 17(2), 118-128.
B. Fang, C. Leung, Y. Y. Tang, P. Kwok, K. Tse, and Y. Wong, 2002, “Off-line Signature Verification with Generated Training Samples,” IEE Proceedings – Vision, Image and Signal Processing, 149(2), 85-90.
X. Sun, H. Chen, L. Yang and Y. Y. Tang, 2002, “Mathematical Representation of a Chinese Character and its Applications,” International Journal of Pattern Recognition and Artificial Intelligence, 16(6), 735-747.
H. Ma, J. Zhou, L. Ma and Y. Y. Tang, 2002, “Order Statistic Filter (OSF), A Novel Approach to Document Analysis,” International Journal of Pattern Recognition and Artificial Intelligence, 16(5), 551-571.
P. Shui, Z. Bao, X. Zhang and Y. Y. Tang, 2002, “Two-channel Adaptive Biorthogonal Filterbanks via Lifting,” Signal Processing, 82(6), 881-893.
L. Yang and Y. Y. Tang, 2002, “A Wavelet-Based Characterization of Curves,” AMS/IP Studies in Advanced Mathematics, 136, 101-144.
J. M. Liu, H. Jing and Y. Y. Tang, 2002, “Multi-agent Oriented Constraint Satisfaction,” Artificial Intelligence, 136(1), 101-144.
Y. Y. Tang, Y. Tao and E. Lam 2002, “New Method for Feature Extraction based on Fractal Behavior,” Pattern Recognition, 35(5), 1071-1081.

2001

Y. Y. Tang, F. Yang and J. Liu, 2001, “Basic Processes of Chinese Character Based on Cubic B-Spline Wavelet Transform,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(12), 1443-1448.
Y. Tao, E. Lam and Y. Y. Tang, 2001, “A Combination of Fractal and Wavelet for Feature Extraction,” International Journal of Pattern Recognition and Artificial Intelligence, 15(8), 1277-1298.
B. Fang, Y. Y. Wang, C. Leung, Y. Y. Tang, P. Kwok, K. Tse and Y. Wong, 2001, “Off-line Signature Verification by the Analysis of Cursive Strokes,” International Journal of Pattern Recognition and Artificial Intelligence, 15(4), 659-673.
X. Sun, Y. Y. Tang, L. Yang and Y. Hu, 2001, “A Novel Knowledge-Based Stroke Extraction Method for Chinese Characters,” International Journal of Pattern Recognition and Artificial Intelligence, 15(4), 707-721.
L. Feng, T. D. Bui and Y. Y. Tang, 2001, “Classification of Similar 2-D Objects by Wavelet-Sparse-Matrix (WSM) Method,” International Journal of Pattern Recognition and Artificial Intelligence, 15(2), 329-345.
Y. Tao, E. Lam and Y. Y. Tang, 2001, “Feature extraction using wavelet and fractal,” Pattern Recognition Letters 22(3/4), 271-287.

2000

Y. Y. Tang, L. Yang and J. Liu, 2000, “Characterization of Dirac-Structure Edges with Wavelet Transform,” IEEE Transactions on Systems, Man, and Cybernetics (B), 30(1), 93-109.
J. Zhong, C. Leung and Y. Y. Tang, 2000, “Image Compression Based on Energy Clustering and Zero-quadtree Representation,” IEE Proceedings-Vision, Image and Signal processing, 147(6), 564-570.
L. Feng, C. Y. Suen, Y. Y. Tang and L. Yang, 2000, “Edge Extraction of Images by Reconstruction Using Wavelet Decomposition Details at Different Resolution Levels,” International Journal of Pattern Recognition and Artificial Intelligence, 14(6), 779-793.
J. Zhong, C. Leung and Y. Y. Tang, 2000, “An Improved Embedded Zerotree Wavelet Image Coding Method Based on Coefficient Partitioning Using Morphological Operation,” International Journal of Pattern Recognition and Artificial Intelligence, 14(6), 795-807.
Y. Tao, E. Lam, C. Huang and Y. Y. Tang, 2000, “Information distribution of the projection method for Chinese character recognition” Journal of Information Science and Engineering, 16(1), 127-139.
Y. Y. Tang, Y. Tao and E. Lam 2000, “New Method of Feature Extraction based on Fractal Behavior,” Pattern Recognition, 35(5), 1071-1081.

Before 1999

J. Liu and Y. Y. Tang, 1999, “Adaptive Image Segmentation with Distributed Behavior-based Agents,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 21(6), 544-551.
Y. Y. Tang, J. Liu, H. Ma and B. F. Li, 1999, “Wavelet Orthonormal Decomposition for Extracting Features in Pattern Recognition,” International Journal of Pattern Recognition and Artificial Intelligence, 13(6), 803-831.
J. Zhong, C. Leung and Y. Y. Tang, 1999, “Wavelet Image Coding Based on Significance extraction Using Morphological Operations,” IEE Proceedings – Vision, Image and Signal Processing, 146(4), 206-210.
Y. Y. Tang, B. F. Li, H. Ma and J. Liu, 1998, “Ring-Projection-Wavelet-Fractal Signatures, a Novel Approach to Feature Extraction,” IEEE Transactions on Circuits and Systems II, 45(8), 1130-1134.
Y. Y. Tang, L.-T. Tu, J. M. Liu, S.-W. Lee, W.-W. Lin and I.-S. Shyu, 1998, “Offline Recognition of Chinese Handwriting by Multi-feature and Multi-level Classification,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(5), 556-561.
J. Liu, Y. Y. Tang and O. Khatib, 1998, “Modeling and Learning Robot Manipulation Strategies,” Experimental Robotics V, Lecture Notes in Control and Information Sciences, Springer, 232,687-700.
J. M. Liu and Y. Y. Tang, 1998, “Distributed Autonomous Agents for Chinese Document Image Segmentation,” Special Issue on Oriental Document Analysis and Recognition, International Journal of Pattern Recognition and Artificial Intelligence, 12(1), 97-118.
P. Yuen, G. Feng and Y. Y. Tang, 1998, “Printed Chinese Character Similarity Measurement Using Ring-Projection and Distance Transform,” Special Issue on Oriental Document Analysis and Recognition, International Journal of Pattern Recognition and Artificial Intelligence, 12(2), 209-221.
Y. Huang, K. Liu, C. Y. Suen and Y. Y. Tang, 1998, “A Reliability Design Methodology for Chinese Character Recognition Systems,” Special Issue on Oriental Document Analysis and Recognition, International Journal of Pattern Recognition and Artificial Intelligence, 12(2), 159-172.
Y. Y. Tang, H. Ma, D. Xi, X. Mao and C. Y. Suen, 1997, “Modified Fractal Signature (MFS), A New Approach to Document Analysis for Automatic Knowledge Acquisition,” IEEE Transactions on Knowledge and Data Engineering, 9(5), 747-762.
Y. Y. Tang, H. Ma, J. M. Liu, B. Li and D. Xi, 1997, “Multiresolution Analysis in Extraction of Reference Lines from Documents with Grey-level Background,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(8), 921-926.
J. Liu, Y. Y. Tang and Y. Cao, 1997, “An Evolutionary Autonomous Agents Approach to Image Feature Extraction,” IEEE Transactions on Evolutionary Computing, 1(2), 141-158.
J. M. Liu, Y. Y. Tang and C. Y. Suen, “Chinese Document Layout Analysis Based on Adaptive Split-And-Merge and Qualitative Spatial Reasoning,” Special Issue, Pattern Recognition, 30(8), 1265-1278, 1997.
K. Liu, C. Y. Suen, M. Cheriert, J. N. Said, C. Nadal and Y. Y. Tang, 1997, “Automatic Extraction of Baselines and Data from Check Images,” International Journal of Pattern Recognition and Artificial Intelligence, 11(4), 676-697.
Y. Y. Tang, S-W. Lee and C. Y. Suen, 1996, “Automatic Document Processing, A Brief Survey,” Pattern Recognition, 29(12), 1931-1952.
S-W. Lee, H. Ma and Y. Y. Tang, 1996, “Multiresolution Recognition of Unconstrained Handwritten Numerals with Wavelet Transform and Multilayer Cluster Neural Network,” Pattern Recognition, 29(12), 1953-1061.
S.-W. Lee, E.-S. Kim and Y. Y. Tang, 1996, “Nonlinear Shape Restoration of Distorted Image with Coons Transformation,” Pattern Recognition, 29(2), 217-229.
Y. Y. Tang, C. Y. Suen, C. D. Yan and M. Cheriet, 1995, “Financial Document Processing Based on Staff Line and Description Language,” IEEE Transactions on Systems, Man, and Cybernetics, 25(5), 738-754.
T. Li, Y. Y. Tang and L. Y. Fang, 1995, “A Structured-Parameter-Adaptive (SPA) Neural Tree for The Recognition of Large Character Set,” Pattern Recognition, 28(3), 315-329.
Y. Y. Tang, C. D. Yan and C. Y. Suen, 1994, “Document Processing for Automatic Knowledge Acquisition,” IEEE Transactions on Knowledge and Data Engineering, 6(1), 3-21.
Y. Y. Tang and C. Y. Suen, 1994, “New Algorithms for Fixed and Elastic Geometric Transformation Models” IEEE Transactions on Image Processing, 3(4), 355-366.
Y. Y. Tang and C. Y. Suen, 1994, “RPDT Algorithm and its VLSI Implementation,” IEEE Transactions on Systems, Man, and Cybernetics, 24(1), 87-99.
Y. Y. Tang, L-T. Tu, T. Li, W-W. Lin, I-S. Shyu and C. Y. Suen, 1994, “Chinese Character Recognition with Stroke Features and Tree-Structured Neural Network,” Journal of Computer Processing of Chinese and Oriental Languages, 8,17-36.
Y. Y. Tang and C. Y. Suen, 1994, “Document Structures, A Survey,” International Journal of Pattern recognition and Artificial Intelligence, 8(5), 1081-1111.
Y. Y. Tang and C. Y. Suen, 1993, “Image Transformation Approach to Nonlinear Shape Restoration,” IEEE Transactions on Systems, Man, and Cybernetics, 23(1), 155-172.
Y. Y. Tang, X. Cheng, L. Tao and C. Y. Suen, 1993, “Parallel Regional Transformation (RPT) and its VLSI Implementation,” Pattern Recognition, 26(4), 627-641.
Z. Li, C. Y. Suen, T. Bui, Y. Y. Tang and Q. Gu, 1992, “Splitting-Integrating Method for Nonlinear Images by Inverse Transformations,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(6), 678-686.
Y. Y. Tang, Y. Z. Qu and C. Y. Suen, 1991, “Multiple-level information source and entropy-reduced transformation models,” Pattern Recognition, 24(4), 341-357.
H. Cheng, Y. Y. Tang and C. Y. Suen, 1991, “VLSI Architectures for Image Transformation,” IEEE Transactions on Systems, Man, and Cybernetics, 21(2), 409-413.
Y. Y. Tang, H. Cheng and C. Y. Suen, 1991, “Transformation-Ring-Projection (TRP) Algorithm and its VLSI Implementation,” International Journal of Pattern recognition and Artificial Intelligence, 5(1-2), 25-56.
Z. Li, T. Bui, C. Y. Suen and Y. Y. Tang, 1990, “Splitting-Shooting Method for Nonlinear Transformations of Digitized Pattern,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 12(7), 671-682.
Y. J. Lu, Y. Y. Tang, P. Pirard, Y. H. Hsu and H. D. Cheng, 1990, “Measurement of Pedestrian Flow Data Using Image Analysis Technique,” The Journal, Transportation Research Record, 1281, 87-96
H. Cheng, Y. Y. Tang and C. Y. Suen, 1990, “Parallel Image Transformation and its VLSI Implementation,” Pattern Recognition, 23(10), 1113-1129.
Z. Li, Y. Y. Tang, T. D. Bui and C. Y. Suen, 1990, “Shape Transformation Models and Their Application in Pattern Recognition,” International Journal of Pattern Recognition and Artificial Intelligence, 4(1), 65-94.
Y. Y. Tang, 1984, “Database Machine, One of The Basic Architectures of the 5-th Generation Computer System,” Computer Engineering and Design, 4, 1-11.

4. International Conference Papers

W. Xu, Q. Cui, W. Ge, B. Zhou, X. F. Wang, H. Tong, L. X. Xu and Y. Y. Tang, 2023, “GSEK: Graph Structured Neural Networks with Energy Graph Kerne,” 2023 International Conference on Wavelet Analysis and Pattern Recognition, DOI: 10.1109/ICWAPR58546.2023.10337020.
H. Tong, Q. Cui, W. Xu, D. G. Jin, M. Y. Li, T. T. Xu, L. X. Xu and Y. Y. Tang, 2023, “Research on the Trust Mechanism of Community Social Enterprises Based on Non-Linear Regression Model,” 2023 International Conference on Wavelet Analysis and Pattern Recognition, DOI: 10.1109/ICWAPR58546.2023.10337043.
X. F Wang, Q. Z Cui, W. Xu, H. F. Liu, L. Liu, H. Tong, L. X. Xu and Y. Y. Tang, 2023, “IENET: Implicit and Explicit Graph Network for Point Cloud Analysis,” 2023 International Conference on Wavelet Analysis and Pattern Recognition, DOI: 10.1109/ICWAPR58546.2023.10337234.
L. Xu, H. Liu, Q. Cui, B. Luo, N. Li, Y. Chen and Y. Y. Tang, 2023, “UGTransformer: Unsupervised Graph Transformer Representation Learning,” International Joint Conference on Neural Networks, DOI: 10.1109/IJCNN54540.2023.10192010.
X. Wang, Q. Cui, L. Xu, H. Liu, L. He, B. Luo, S. Chen and Y. Y. Tang, 2023, “GLCNet: Global-Local Complementary Network for 3D Shape Recognition,” International Joint Conference on Neural Networks, DOI: 10.1109/ICWAPR56446.2022.9947174.
X. Wang, Q. Cui, L. Xu, H. Liu, L. He, B. Luo, S. Chen and Y. Y. Tang, 2023, “GENet: Guidance Enhancement Network for 3D Shape Recognition,” International Joint Conference on Neural Networks, DOI: 10.1109/IJCNN54540.2023.10191404.
D. Tin, X. Wang, L. Xu, R. Z. Hu, C. Zhang, S. Zhang and Y. Y. Tang, 2022, “Research on the Preparation and Process Conditions of C4 Olefins using Grey Prediction Model and Multiple Linear Regression Model,” International Conference on Wavelet Analysis and Pattern Recognition, DOI: 10.1109/ICWAPR56446.2022.9947174.
F. Hao, X. Ma, T. Zhang and Y. Y. Tang, 2011, “Channel Hourglass Residual Network For Single Image Super-Resolution,” International Joint Conference on Neural Networks, DOI:10.1109/IJCNN52387.2021.9533568.
X. Li, L. N. Yang, Y. Y. Tang and P. Wang, 2020, “A DNA-Binding Proteins Prediction Model Using Different Property Distance Transformation,” International Conference on Wavelet Analysis and Pattern Recognition, DOI: 10.1109/ICWAPR51924.2020.9494609.
Y. Liu, L. N. Yang, Y. Y. Tang and P. Wang, 2020, “Comparison Of RNA Secondary Structure Using Discrete Wavelet Transform And Fractal Dimension,” International Conference on Wavelet Analysis and Pattern Recognition, DOI:10.1109/ICWAPR51924.2020.9494386.
H. Deng, L. N. Yang, X. Dang, Y. Y. Tang and P. Wang, 2020, “Secure Data Transmission of Smart Home Networks Based on Information Hiding,” International Conference on Pattern Recognition and Artificial Intelligence, DOI:10.1007/978-3-030-59830-3_23.
L. Yang, P. Wei and Y. Y. Tang, 2019, “A Fractal Dimension and Empirical Mode Decomposition-Based Method for Protein Sequence Analysis,” International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI) / 30th Anniversary Conference of the Centre-for-Pattern-Recognition-and-Machine-Intelligence (CENPARMI), DOI:10.1142/S0218001419400202.
C. Liu, Z. Shang and Y. Y. Tang, 2017, “Zero-Shot Learning with Fuzzy Attribute,” IEEE International Conference on Cybernetics, DOI: 10.1109/CYBConf.2017.7985823.
Y. Lu, Y. Cheung and Y. Y. Tang, 2017, “Dynamic Weighted Majority for Incremental Learning of Imbalanced Data Streams with Concept Drift,” 26th International Joint Conference on Artificial Intelligence, DOI:10.24963/ijcai.2017/333.
H. Luo, Y. Y. Tang, X. Yang, L. N. Yang and H. Li, 2017, “Autoencoder with Extended Morphological Profile for Hyperspectral Image Classification,” IEEE International Conference on Cybernetics, DOI: 10.1109/CYBConf.2017.7985761.
J. Pan, Y. Y. Tang and L. Yang, 2017, “A Decomposition-And-Ensemble Forecasting Method Based on EMEMD and FWNN Training by PSOSSO,” IEEE International Conference on Cybernetics, DOI: 10.1109/CYBConf.2017.7985744.
A. Qin, Z. Shang, J. Tian, A. Li, Y. Wang and Y. Y. Tang, 2017, “Maximum Correntropy Criterion for Convex and Semi-nonnegative Matrix Factorization,” IEEE International Conference on Systems, Man, and Cybernetics, DOI: 10.1109/SMC.2017.8122887.
Y. Wang, Y. Y. Tang, L. Yang and C. Zou, 2017, “Information-Theoretic Generalized Orthogonal Matching Pursuit for Robust Pattern Classification,” IEEE International Conference on Systems, Man, and Cybernetics, DOI: 10.1109/SMC.2017.8122655.
Y. Wang, Y. Y. Tang, C. Zou and L. Yang, 2017, “Spectral-Spatial Hyperspectral Image Destriping Using Sparse Learning and Spatial Unidirection Prior,” IEEE International Conference on Cybernetics, DOI: 10.1109/CYBConf.2017.7985812.
L. Yang, B. Lin, J. Pan, Y. Y. Tang, H. Luo, X. Li and W. Cao, 2017, “Indirect Method-Potential Theory in the Harmonic Transformation Model,” IEEE International Conference on Cybernetics, DOI: 10.1109/CYBConf.2017.7985784.
T. Shu, B. Zhang and Y. Y. Tang, 2016, “Using K-NN with Weights to Detect Diabetes Mellitus Based on Genetic Algorithm Feature Selection,” International Conference on Wavelet Analysis and Pattern Recognition, DOI: 10.1109/ICWAPR.2016.7731621.
L. Sun, Y. Y. Tang, T. Wu and P. Wang, “Road curve fitting by multi-resolution analysis,” 2016 IEEE International Conference on Systems, Man, and Cybernetics, DOI: 10.1109/SMC.2016.7844298.
X. Yang, Y. Y. Tang, H. W. Luo, T. Wu, L. Sun, and L. Li, 2016, “One Sample Based Feature Learning for Vehicle Identification,” International Conference on Machine Learning and Cybernetics, DOI: 10.1109/ICMLC.2016.7873024.
X. Zheng, Y. Y. Tang, J. Zhou, H. Yuan, Y. Wang, L. Yang and J. Pan, 2016, “Multi-windowed graph Fourier frames,” International Conference on Machine Learning and Cybernetics, DOI: 10.1109/ICMLC.2016.7873022.
L. Sun, Y. Y. Tang and T. Wu, 2016, “Multi-resolution-based Road State Estimation,” International Conference on Machine Learning and Cybernetics, DOI: 10.1109/ICMLC. 2016.7873022.
X. Zheng, Y. Y. Tang, J. Zhou and P. Wang, 2016, “Improving Unbalanced Downsampling Via Maximum Spanning Trees for Graph Signals,” 6 IEEE International Conference on Systems, Man, and Cybernetics, DOI: 10.1109/SMC.2016.7844599.
H. Luo, Y. Wang, Y. Y. Tang, C. Li and J. Wang, 2016, “Hyperspectral Image Classification Using Distance Metric Based 1-Dimensional Manifold Embedding,” International Conference on Wavelet Analysis and Pattern Recognition, DOI: 10.1109/ICWAPR.2016.7731648.
Y. Lu, Y. Cheung and Y. Y. Tang, 2016, “Hybrid Sampling with Bagging for Class Imbalance Learning,” 20th Pacific-Asia Conference, DOI:10.1007/978-3-319-31753-3_2.
L. Li, Y. Y. Tang and T. Wu, 2016, “How Many Images Can Tell You the Direction: A New Method of Navigation Based on Images,” International Conference on Machine Learning and Cybernetics, DOI: 10.1109/ICMLC.2016.7873021.
Y. Lu, Y. Cheung and Y. Y. Tang, 2016, “GOBoost: G-mean optimized boosting framework for class imbalance learning,” 12th World Congress on Intelligent Control and Automation, DOI: 10.1109/WCICA.2016.7578792.
L. Yang, T. Li, Y. Y. Tang, J. Xu, J. Pan, H. Luo and X. Zheng, 2016, “Direct Method-Green’s Theory: From PDE to BIE in the Geometric Transformation,” International Conference on Wavelet Analysis and Pattern Recognition, DOI: 10.1109/ICWAPR.2016.7731636.
Y. Wang, Y. Y. Tang and L. N. Yang, “Adaptive Weighted Orthogonal Matching Pursuit for Robust Pattern Classification,” 2016 International Conference on Wavelet Analysis and Pattern Recognition, DOI: 10.1109/ICWAPR.2016.7731639.
J. Pan, Y. Y. Tang, Y. Wang, X. Zheng, H. Luo, H. Yuan and P. Wang, 2016, “A Hybrid Swarm Optimization for Neural Network Training with Application in Stock Price Forecasting,” IEEE International Conference on Systems, Man, and Cybernetics, DOI: 10.1109/ SMC.2016.7844932.
J. Pan, X. Zheng, L. Yang, Y. Wang, H. Yuan and Y. Y. Tang, 2015, “A Forecasting Method Based on Extrema Mean Empirical Mode Decomposition and Wavelet Neural Network,” 2nd IEEE International Conference on Cybernetics, DOI: 10.1109/CYBConf.2015. 7175963.
L. Yang, Y. Y. Tang, Y. Wang, H. Luo, J. Pan, H. Yuan, X. Zheng, C. Li and T. Shu, 2015, “Similarity Analysis based on Sparse Representation for Protein Sequence Comparison,” 2nd IEEE International Conference on Cybernetics, DOI: 10.1109/CYBConf. 2015.7175964.
Y. Wang, Y. Y. Tang, L. Yang, H. Luo, H. Yuan, X. Zheng and J. Pan, 2015, “Classification via Atomic Representation,” 2nd IEEE International Conference on Cybernetics, DOI: 10.1109/CYBConf.2015.7175965.
H. Luo, Y. Y. Tang, Y. Wang, C. Li, J. Wang, T. Hu and H. Li, 2015, “Hyperspectral Image Classification using One Dimensional Manifold Embedding with Spectral-Spatial based Affinity Metric,” 2nd IEEE International Conference on Cybernetics, DOI: 10.1109 /TGRS.2016.2560529.
X. Zheng, Y. Y. Tang, J. Zhou, L. Yang, H. Yuan, Y. Wang and C. Li, 2015, “Redundant Graph Fourier Transform,” 2nd IEEE International Conference on Cybernetics, DOI: 10.1109/CYBConf. 2015.7175968.
C. Li, Y. Y. Tang, H. Luo and X. Zheng, 2015, “Join Gabor and Scattering Transform for Urine Sediment Particle Texture Analysis,” 2nd IEEE International Conference on Cybernetics, DOI: 10.1109/CYBConf.2015.7175969.
T. Shu, B. Zhang and Y. Y. Tang, 2015, “Simplified and Improved Patch Ordering for Diabetes Mellitus Detection,” 2nd IEEE International Conference on Cybernetics, DOI: 10.1109 /CYBConf.2015.7175962.
Y. Y. Tang, L. Yang and H. Li, 2014, “Image Transform Based on Integral Equation-Wavelet Approach,” World Academy of Science, Engineering and Technology, 85:735-741.
J. Chen, Y. Y. Tang, C. Chen and Y. W. Lin, 2014, “Dual Fuzzy Hypergraph Regularized Multi-label Learning for Protein Subcellular Location Prediction,” 22nd International Conference on Pattern Recognition, DOI: 10.1109/ICPR.2014.97.
H. L. Yuan and Y. Y. Tang, 2014, “Multi-scale Tensor l1-Based Algorithm for Hyperspectral Image Classification,” 22nd International Conference on Pattern Recognition, DOI: 10.1109/ICPR. 2014.247.
Y. Lu, L. Yang, H. Yuan, Y. Wang, H. Luo and Y. Y. Tang, 2014, “A Novel Method for Protein Structure Retrieval Using Tableau Representation and Sparse Coding,” IEEE International Conference on Systems, Man, and Cybernetics, DOI: 10.1109/SMC.2014.6974565.
Y. Wang, Y. Y. Tang, L. Yang, H. Yuan, H. W. Luo and Y. Lu, 2014, “Spectral-Spatial Hyperspectral Image Destriping Using Low-Rank Representation and Huber-Markov Random Fields,” IEEE International Conference on Systems, Man, and Cybernetics, DOI: 10.1109/SMC.2014. 6973925.
L. Yang, Y. Y. Tang, Y. Lu, H. Luo, Y. Wang and H. Yuan, 2014,“Protein Sequence Analysis based on Fractal-Wavelet Scheme,” IEEE International Conference on Systems, Man, and Cybernetics, DOI: 10.1109/SMC.2014.6974569.
H. Yuan, H. Luo, L. Yang, Y. Lu, Y. Wang and Y. Y. Tang, 2014, “Feature Extraction Based on Kernel Sparse Representation for Hyperspectral Image Classification,” IEEE International Conference on Systems, Man, and Cybernetics, 2014, DOI: 10.1109/SMC.2014. 6974570.
H. Luo, Y. Y. Tang and L. Yang, 2014, “Incorporating Local and Global Geometric Structure for Hyperspectral Image Classification,” IEEE International Conference on Systems, Man, and Cybernetics, DOI: 10.1109/SMC.2014.6974573.
R. Liu, Y. Y. Tang and B. Fang, 2014, “Automatic Decision Support by Information Energy Decision Tree Algorithm,” IEEE International Conference on Systems, Man, and Cybernetics, DOI: 10.1109/SMC.2014.6974566.
C. Liu, Z. Shang and Y. Y. Tang, 2014, “Cross-Scene Learning: Improving Classification Performance by Using Gray Sample,” IEEE International Conference on Systems, Man, and Cybernetics, 4195-4202.
J. Li, X. Qian, Y. Y. Tang, L. Yang and C. Liu, 2013, “GPS Estimation from Users’ Photos,” International Conference on Multimedia Modeling, 118-129.
H. Yuan, Y. Lu, L. Yang, H. Luo and Y. Y. Tang, 2013, “Sparse Representation Using Contextual Information for Hyperspectral Image Classification” IEEE International Conference on Cybernetics, DOI: 10.1109/CYBConf.2013.6617422.
H. Yuan, Y. Lu, L. Yang, H. Luo and Y. Y. Tang, 2013, “Spectral-Spatial Linear Discriminant Analysis for Hyperspectral Image Classification,” IEEE International Conference on Cybernetics, DOI: 10.1109/CYBConf.2013.6617430.
H. Luo, L. Yang, H. Yuan and Y. Y. Tang, 2013, “Learning Recovered Pattern from Region-Dependent Model for Hyperspectral Imagery,” IEEE International Conference on Cybernetics, DOI: 10.1109/CYBConf.2013.6617463.
H. Luo, L. Yang, H. Yuan and Y. Y. Tang, 2013, “Dimension Reduction with Randomized Anisotropic Transform for Hyperspectral Image Classification,” IEEE International Conference on Cybernetics, DOI: 10.1109/CYBConf.2013.6617465.
L. Dong, J. Wang, Y. Li and Y. Y. Tang, 2013, “Sector Projection Fourier Descriptor for Chinese Character Recognition,” IEEE International Conference on Cybernetics, DOI: 10.1109/ CYBConf.2013.6617466.
B. Li, Y. Y. Tang, Z. Zhang and B. Ding, 2013, “An Effective Method to Reduce False Alarms in Video Face Detection,” International Symposium on Electrical & Electronics Engineering, DOI: 10.4028/www.scientific.net/AMM.347350.3619.
C. Guo, Y. Y. Tang, Z. Zhang and B. Li, 2013, “An OCR Post-Processing Method Based on Dictionary Matching and Matrix Transforming,” 2nd International Symposium on Electrical & Electronics Engineering, DOI: 10.4028/www.scientific.net /AMM.427-429.1861.
X. Wang, Y. Y. Tang, Z. Zhang and J. Duan, 2013, “Multi-class Character Classification with Semi-supervised Learning,” 2nd International Symposium on Electrical & Electronics Engineering, DOI: 10.4028/www.scientific.net/AMM.347-350.3167.
B. Ding, Y. Y. Tang, Z. Zhang and X. Wang, 2013, “Sparse Representation Frontal Facial Recognition Algorithm Based on Eigenface,” 2nd International Symposium on Electrical & Electronics Engineering, DOI: 10.4028/www.scientific.net/AMM. 347-350.3629.
J. Duan, Y. Y. Tang, Z. Zhang and C. Guo, 2013, “Camera Calibration and Improved Computation of Fundamental Matrix in Epipolar Geometry,” 2nd International Symposium on Electrical & Electronics Engineering, DOI: 10.4028/www.scientific.net/AMM.347-350.3624.
C. Guo, Y. Y. Tang, C. Liu and J. Duan, 2013, “A Japanese OCR Post-Processing Approach Based on Dictionary Matching,” International Conference on Wavelet Analysis and Pattern Recognition, DOI: 10.1109/ICWAPR.2013.6599286.
J. Duan, Y. Y. Tang, C. Guo, C. Fan and X. Hu, 2013, “Boundary Expansion: An Hidden Surface Removal Method Based on Boundary,” International Conference on Wavelet Analysis and Pattern Recognition, DOI: 10.1109/ICWAPR.2013.6599301.
H. Zhao, B. Fang and Y. Y. Tang, 2013, “A No-Reference Image Sharpness Estimation Based on Expectation of Wavelet Transform Coefficients,” IEEE International Conference on Image Processing, DOI: 10.1109/ICIP.2013.6738077.
Z. Zhang, Y. Y. Tang, C. Liu and X. Ding, 2012, “The Derived Kernel Based Recognition Method of Vehicle Type,” International Conference on Active Media Technology, LNCS 7669, 297–306.
Z. Zhang and Y. Y. Tang, 2012, “License Plate Recognition Algorithm Based on Derived Kernel,” International Conference on Wavelet Analysis and Pattern Recognition, DOI: 10.1109/ICWAPR. 2012.6294785.
W. Yang, B. Fang, Y. Y. Tang, Z. Shang and H. Zhao 2012, “Visual Saliency Estimation Using Support Value Transform,” IEEE International Conference on Image Processing, DOI: 10.1109/ ICIP.2012.6467048.
Y. Wang, B. Fang, L. Lan, H. Lu and Y. Y. Tang, 2012, “Adaptive Binarization: Anewapproach to License Plate Characters Segmentation,” International Conference on Wavelet Analysis and Pattern Recognition, DOI: 10.1109/ICWAPR.2012.6294761.
H. Zhao, Z. Shang, B. Fang and Y. Y. Tang, 2012, “Neighborhood Distance and Its Application in Image Fusion,” International Conference on Wavelet Analysis and Pattern Recognition, DOI: 10.1109/ICWAPR.2012.6294762.
Z. Zhang and Y. Y. Tang, 2012, “License Plate Recognition Algorithm Based on Derived Kernel,” the International Conference on Wavelet Analysis and Pattern Recognition, DOI: 10.1109/ ICWAPR.2012.6294785.
J. Pan and Y. Y. Tang, 2012, “Nonstationary Signalanalysis Based on EMD and Extremum Points,” International Conference on Wavelet Analysis and Pattern Recognition, DOI: 10.1109/ ICWAPR.2012.6294789.
M. Cheng, Y. Y. Tang and C. Pun, 2011, “Nonparametric Feature Extraction via Direct Maximum Margin Alignment,” IEEE International Conference on Machine Learning and Applications, DOI: 10.1109/ICMLA.2011.107.
J. Du, Z. Mu, Z. Xu, Y. Y. Tang and, 2011, “Feature Extraction in Fingerprint of Medicinal Herbs via EMD and Fractal Technique,” International Conference on Biomedical Engineering and Informatics, DOI: 10.1109/BMEI.2011.6098520.
M. Cheng, B. Fang, J. Chen, W. Yang and Y. Y. Tang, 2010, “Learning the Informative Components in Nonnegative Matrix Factorization,” IEEE International Conference on Chinese Pattern Recognition, DOI: 10.1109/CCPR.2010.5659274.
L. Du, X. You, H. Xu, Z. Gao and Y. Y. Tang, 2010, “Wavelet Domain Local Binary Pattern Features For Writer Identification,” International Conference on Pattern Recognition, DOI: 10.1109/ICPR. 2010.899.
J. Pan, D. Zhang and Y. Y. Tang, 2010, “A fractal-based BEMD method for image texture analysis,” IEEE International Conference on Systems, Man, And Cybernetics, DOI: 10.1109/ ICSMC. 2010.5642020.
D. Zhang, J. Pan, Y. Y. Tang and C. Wang, 2010, “Illumination invariant face recognition based on the new phase features,” IEEE International Conference on Systems, Man, and Cybernetics, Doi: 10.1109/Icsmc.2010.5641808.
Y. Lin, B. Fang and Y. Y. Tang, 2010, “A Computational Model for Saliency Maps by Using Local Entropy,” AAAI 2010, 967-973.
D. Zhang and Y. Y. Tang, 2009, “Extraction of Illumination-Invariant Features in Face Recognition by Empirical Mode Decomposition,” ICB, 102-111.
Y. He and Y. Y. Tang, 2009, “Classification of 3D Models for the 3D Animation Environments,” Ieee International Conference on Systems, Man, and Cybernetics, DOI: 10.1109/ICSMC. 2009.5346642.
G. He, Y. Y. Tang, B. Fang and T. Zhang, 2009, “Weightiness image Partition in 3D Face Recognition,” IEEE International Conference on Systems, Man, and Cybernetics, DOI: 10.1109/ICSMC.2009.5346035.
J. Wu, X. You, Y. Y. Tang and Y. Cheung, 2008, “Palmprint identification based on non-separable wavelet filter banks,” International Conference on Pattern Recognition, DOI: 10.1109/ ICPR.2008.4761884
Y. Huang, B. Pan, S. Zheng, J. Pan and Y. Y. Tang, 2008, “Lip-Reading Detection and Localization Based on Two Stage Ellipse Fitting,” International Conference on Wavelet Analysis and Pattern Recognition, DOI: 10.1109/ICWAPR.2008.4635770.
M. Cheng, B. Fang, Y. Y. Tang and J. Wen, 2008, “An Efficient Regularized Neighborhood Discriminant Analysis through QR Decomposition,” International Conference on Wavelet Analysis and Pattern Recognition, DOI: 10.1109/ICWAPR.2008.4635794.
Q. Zhao, B. Pan, J. Pan and Y. Y. Tang, 2008, “Facial Expression Recognition Based on Fusion of Gabor and LBP Features,” International Conference on Wavelet Analysis and Pattern Recognition, DOI: 10.1109/ICWAPR.2008.4635805.
J. Pan and Y. Y. Tang, 2008, “A Segmentation Method of Merged Numerals by Wavelet Analysis and GVF Model,” International Conference on Wavelet Analysis and Pattern Recognition, DOI: 10.1109/ICWAPR.2008.4635832.
D. Xu, Z. Shang, Y. Y. Tang and B. Fang, 2008, “Handwriting-Based Writer Identification with Complex Wavelet Transform,” International Conference on Wavelet Analysis and Pattern Recognition, DOI: 10.1109/ICWAPR.2008.4635849.
C. Deng, Y. Y. Tang and Z. Fu, 2008, “Reproducing Kernel Space Based on Gabor Wavelet Transform,” International Conference on Wavelet Analysis and Pattern Recognition, DOI: 10.1109/ICWAPR.2008.4635858.
Y. He and Y. Y. Tang, 2008, “Path Planning of Virtual Human Using Reinforcement Learning” International Conference on Machine Learning and Cybernetics, DOI: 10.1109/ICMLC. 2008.4620548.
J. Pan, Y. Y. Tang and B. Pan, 2007, “The Algorithm of Fast Mean Filtering,” International Conference on Wavelet Analysis and Pattern Recognition, DOI: 10.1109/ICWAPR.2007.4420672.
J. Wen, B. Fang, Y. Y. Tang and T. Zhang, 2007, “Off-line Signature Verification: A New Rotation Invariant Approach,” IEEE International Conferences on Systems, Man, and Cybernetics, DOI: 10.1109/ ICSMC.2007.4413949.
J. Wen, B. Fang, Y. Y. Tang, T. Zhang and H. Chen, 2007, “Offline Signature Verification Based on the Gaber Transform,” International Conference on Wavelet Analysis and Pattern Recognition, DOI: 10.1109/ICWAPR.2007.4421610.
S. Hu, Y. Xiong, Z. Liao and Y. Y. Tang, 2007, “Skeletonization of Ribbon-Like Shape Based on Local Minimum Modules of Wavelet Transform,” International Conference on Wavelet Analysis and Pattern Recognition, DOI: 10.1109/ICWAPR.2007.4421625.
T. Zhang, B. Fang, B. Xu, H. Chen, M. Chen and Y. Y. Tang, 2007, “Signature Envelope Curvature Descriptor for Offline Signature Verification,” International Conference on Wavelet Analysis and Pattern Recognition, DOI: 10.1109/ICWAPR.2007.4421628.
T. Zhang, B. Fang, G. He, J. Wen and Y. Y. Tang, 2007, “Laplacianfaces Incorporated Inside Nonnegative Matrix Factorization for Face Recognition,” International Conference on Wavelet Analysis and Pattern Recognition, DOI: 10.1109/ICWAPR.2007.4421629.
L. Cui, Y. Y. Tang, F. Liao and X. Du, 2007, “Face Recognition Based on Wavelet Packet Decomposition,” International Conference on Wavelet Analysis and Pattern Recognition, DOI: 10.1109/ICWAPR.2007.4421661.
J. Wen, B. Fang, Y. Y. Tang and T. Zhang, 2007, “Offline Signature Verification: A New Rotation Invariant Approach,” IEEE International Conference on Systems, Man and Cybernetics, DOI: 10.1109/ICSMC.2007.4413949.
J. Pan, L. Xue, S. Zheng and Y. Y. Tang, 2007, “Image Segmentation Based on the Method of the Maximal Variance and Improved Genetic Algorithm,” IEEE International Conference on Systems, Man And Cybernetics, DOI: 10.1109/ICSMC.2007.4413905.
L. Cui, Y. Y. Tang, F. Liao and X. Du, 2007, “Face Recognition Based on Discriminant Wavelet Faces,” IEEE International Conference on Systems, Man And Cybernetics, 3561-3565.
L. Xue, J. Pan, B. Pan, S. Zheng and Y. Y. Tang, 2007, “Face Contour Location based on Multiple-step Hiding Genetic Algorithm,” IEEE International Conference on Systems, Man And Cybernetics, DOI: 10.1109/ICSMC.2007.4413906.
T. Zhang, B. Fang, G. He, J. Wen, and Y. Y. Tang, 2007, “Face Recognition Using Topology Preserving Nonnegative Matrix Factorization,” International Conference on Computational Intelligence and Security, DOI: 10.1109/CIS.2007.82.
Z. He, X. You, Y. Y. Tang, P. Wang and Y. Xue, 2006, “Texture Image Retrieval Using Novel Non-separable Filter Banks Based on Centrally Symmetric Matrices,” International Conference on Pattern Recognition, DOI: 10.1109/ICPR.2006.1112.
X. You, D. Zhang, Q. Chen, P. Wang and Y. Y. Tang, 2006, “Face Representation By Using Non-tensor Product Wavelets,” International Conference on Pattern Recognition, DOI: 10.1109 /ICPR.2006.534.
Z. Liao, J. Wang, W. Chen and Y. Y. Tang, 2006, “An affine Invariant Eulidean distance between images” International Conference on Machine Learning and Cybernetics, DOI: 10.1109/ ICMLC.2006.258875.
B. Fang, W. Chen, X. You, T. Zhang, J. Wen and Y. Y. Tang, 2006, “Wavelet Thinning Algorithm Based Similarity Evaluation for Offline Signature Verification,” Intelligent Computing in Signal Processing and Pattern Recognition, 547-555.
Z. He, Y. Y. Tang, B. Fang, J. Du and X. You, 2005, “A Novel Method for Off-line Handwriting-based Writer Identification,” International Conference on Document Analysis and Recognition, DOI: 10.1109/ICDAR.2005.27.
X. You, B. Fang, X. G. You, Z. He, D. Zhang and Y. Y. Tang, 2005, “Skeleton Representation of Character Based on Multiscale Approach,” International Conference on Computational and Information Science, 1060-1067.
X. You, B. Fang, Z. He and Y. Y. Tang, 2005, “A Global-to-Local Matching Strategy for Registering Retinal Fundus Images,” Iberian Conference on Pattern Recognition and Image Analysis, 259-267.
J. Yang, X. You, Y. Y. Tang and B. Fang, 2005, “A Watermarking Scheme Based on Discrete Non-separable Wavelet Transform,” Iberian Conference on Pattern Recognition and Image Analysis, 427-434.
X. You, B. Fang, Y. Y. Tang and J. Huang, 2005, “Multiscale Approach for Thinning Ridges of Fingerprint,” Iberian Conference on Pattern Recognition and Image Analysis, 505-512.
X. You, B. Fang and Y. Y. Tang, 2005, “Wavelet-Based Approach for Skeleton Extraction,” IEEE Workshop on Applications of Computer Vision, DOI: 10.1109/ACVMOT.2005.125.
X. You, B. Fang, Y. Y. Tang, L. Li and D. Zhang, 2005, “Axial Representation of Character by Using Wavelet Transform,” International Conference on Fuzzy Systems and Knowledge Discovery, 130-139.
L. Cui, Y. Y. Tang, F. Liao and X. Feng, 2005, “Wavelet Approach to Image Transformation,” International Symposium on Information and Communication Technologies, 217-222.
X. You, B. Fang, Z. He and Y. Y. Tang, 2005, “Similarity Measurement for Off-Line Signature Verification,” International Conference on Intelligent Computing, 272-281.
X. You, B. Fang and Y. Y. Tang, 2005, “Mosaicing the Retinal Fundus Images: A Robust Registration Technique Based Approach,” International Conference on Intelligent Computing, 663-667.
Z. Liao, S. Hu and Y. Y. Tang, 2005, “Region-based Mulifocus Image Fusion Based on Hough Transform and Wavelet Domain Hidden Markov Models,” International Conference on Machine Learning and Cybernetics, DOI: 10.1109/ICMLC.2005.1527914.
Z. Liao, S. Hu and Y. Y. Tang, 2005, “A Novel Local Denoising Scheme Based on Context,” International Conference on Machine Learning and Cybernetics, DOI: 10.1109/ICMLC.2005. 1527915.
Z. Liao, S. Hu, W. Chen and Y. Y. Tang, 2005, “A Statistical Image Fusion Scheme for Multi Focus Applications,” Advances in Machine Learning and Cybernetics, 1096-1105.
X. Yang, D. Evans and Y. Y. Tang, 2005, “Existence and Stability of Periodic Solution in a Class of Impulsive Neural Networks,” International Symposium on Neural Networks, 265-270.
B. Fang and Y. Y. Tang, 2004, “Reduction of Feature Statistics Estimation Error for Small Training Sample Size in Off-Line Signature Verification,” International Conference on Biometric Authentication, 526-532.
Z. Liao, C. Lam and Y. Y. Tang, 2004, “Image processing using Template Model and wavelet domain Hidden Markov Model,” International Conference on Machine Learning and Cybernetics, DOI: 10.1109/ICMLC.2004.1384593.
Z. Y. He and Y. Y. Tang, 2004, “Chinese Handwriting-based Writer Identification by Texture Analysis,” International Conference on Machine Learning and Cybernetics, DOI: 10.1109/ ICMLC.2004.1380392.
L. Sun, Y. Y. Tang and X. You, 2004, “Corner Detection for Object Recognition by Using Wavelet Transform,” International Conference on Machine Learning and Cybernetics, DOI: 10.1109/ ICMLC.2004.1384601.
J. Yang, Y. Y. Tang, W. Zhang and Z. Y. He, 2004, “Construction of Orthogonal Wavelet Filters in Terms of Unitary Transform,” International Conference on Machine Learning and Cybernetics, DOI:10.1109/ICMLC.2004.1380530.
S. Yang and Y. Y. Tang, 2004, “Construction of Biorthogonal Interpolatory Multiscaling Function and the Corresponding Multiwavelets,” International Computer Congress, DOI: 10.1142/ 9789812702654_0009.
S. Yang and Y. Y. Tang, 2004, “The Design of Approximate Hilbert Transform Pairs of Wavelets Bases with Fractional Filters,” International Computer Congress, DOI:10.1142/9789812702654 _0032.
L. Zeng, S. Mo, J. Wang and Y. Y. Tang, 2004, “The Projection of Wavelets and Its Application in Edge Detection of Computerized Tomography,” International Computer Congress, DOI:10.1142/9789812702654_0080.
X. You and Y. Y. Tang, 2003, “Skeleton Extraction of Ribbon-like Shapes Based on Wavelet Transform,” International Conference on Wavelet Analysis and its Application, DOI:10.1142/ 9789812796769_0035.
Y. Y. Tang, J. Yang and W. Zhang, 2003, “A Class of Semi-orthogonal Wavelet Packets,” International Conference on Wavelet Analysis and its Application, DOI:10.1142/ 9789812796769_0023.
F. Bai, L. Gu and Y. Y. Tang, 2003, “Invisible Pattern Recognition and Wavelet Transform,” International Conference on Wavelet Analysis and its Application, DOI:10.1142/ 9789812796769_0048.
X. Feng, G. Song and Y. Y. Tang, 2003, “Multiwavelet-based Differentiation Matrix with Absorbed Boundary Conditions,” International Conference on Wavelet Analysis and its Application, DOI: 10.1142/9789812796769_0104.
W. Wang, Y. Y. Tang and G. Xu, 2003, “Watermarking in Image Edges,” International Conference on Wavelet Analysis and its Application, 799-804.
F. Bai, L. Gu and Y. Y. Tang, 2003, “Construction of 2-D Mother Wavelet from 1-D Mother Wavelet by Inverse Projecting,” International Conference on Wavelet Analysis and its Application, 897-902.
X. You, Y. Y. Tang, W. Zhang and L. Sun, 2003, “Skeletonization of Character Based on Wavelet Transform,” International Conference on Computer Analysis of Images and Patterns, 140-148.
K. Lau, P. Yuen, and Y. Y. Tang, 2003, “Recovery of Writing Sequence of Static Images of Handwriting using UWM,” International Conference on Document Analysis and Recognition, DOI: 10.1109/ICDAR.2003.1227831.
L. Wang, Y. Y. Tang and X. Feng, 2002, “Distorted Pattern Fusion using Wavelet Transform,” International Conference on Machine Learning and Cybernetic, DOI: 10.1109/ICMLC.2002. 1175380.
X. You, Y. Y. Tang and L. Sun, 2002, “Skeletonization of Ribbon-Like Shapes with New Wavelet Function,” International Conference on Machine Learning and Cybernetics, DOI: 10.1109/ ICMLC.2002.1175363.
J. Yang, Y. Y. Tang and Z. Cheng, 2002, “Construction of Orthogonal Multiwavelet,” International Conference on Machine Learning and Cybernetics, DOI: 10.1109/ICMLC.2002.1175381.
W. Zhang, Q. Wang and Y. Y. Tang, 2002, “A Wavelet-Based Method for Fingerprint Image Enhancement,” International Conference on Machine Learning and Cybernetics, DOI: 10.1109/ICMLC.2002.1175382.
Z. Liao, E. Lam and Y. Y. Tang, 2002, “A Novel Post-Classifier for Search Engine using Hidden Markov Model,” International Conference on Machine Learning and Cybernetics, DOI: 10.1109/ ICMLC.2002.1175373.
J. Song, X. Yang, Y. Hou and Y. Y. Tang, 2002, “Document Segmentation using Wavelet-Domain Multi-State Hidden Markov Models,” International Conference on Machine Learning and Cybernetics, DOI: 10.1109/ICMLC.2002.1174532.
B. Fang, C. Leung, Y. Y. Tang, 2002, “Off-Line Signature Verification with Generated Training Samples,” IEE Optical Information Processing Technology, DOI: 10.1049/ip-vis:20020191.
Y. Y. Tang, X. Feng, X. You, Z. Liao and L. Sun, 2002, “A Novel Method for Harmonic Geometric Transformation Model Based on Wavelet Collocation,” International Conference on Pattern Recognition, DOI: 10.1109/ICPR.2002.1044586.
K. Lau, P. Yuen and Y. Y. Tang, 2002, “Stroke Extraction and Stroke Sequence Estimation on Signatures,” International Conference on Pattern Recognition, DOI: 10.1109/ICPR.2002.1047809.
Y. Y. Tang, Y. Hou, J. Song and X. Yang, 2001, “Mixture-state Document Segmentation Using Wavelet-Domain Hidden Markov Markov Tree Models,” International Conference on Wavelet Analysis and its Application, DOI: 10.1007/3-540-45333-4_29.
J. Li and Y. Y. Tang, 2001. “General Analytic Construction for Wavelet Low-passed Filters,” International Conference on Wavelet Analysis and its Application, DOI:10.1007/3-540-45333-4_38.
L. Yang, X. You, R. Haralick, I. T. Philips and Y. Y. Tang, 2001, “Characterization of Dirac Edge with New Wavelet Transform,” International Conference on Wavelet Analysis and its Application, DOI:10.1007/3-540-45333-4_17.
W. Su, H. Ma, Y. Y. Tang and M. Umeda, 2001, “Wavelet Transform Method of Waveform Estimation for Hilbert Transform of Fractional Stochastic Signals with Noise,” International Conference on Wavelet Analysis and its Application, DOI:10.1007/3-540-45333-4_36.
J. Li, S. Yan and Y. Y. Tang, 2001, “The Application of Wavelet Analysis Method to Civil Infrastructure Health Monitoring,” International Conference on Wavelet Analysis and its Application, DOI: 10.1007/3-540-45333-4_48.
J. Zhao, X. Yang, J. Li and Y. Y. Tang, 2001, “DNA Sequences Classification Based on Wavelet Packet Analysis,” International Conference on Wavelet Analysis and its Application, pp. DOI: 10.1007/3-540-45333-4_53.
L. Yang, Q. Chen and Y. Y. Tang, 2001, “General Design of Wavelet High-Pass Filters From Reconstructional Symbol,” International Conference on Wavelet Analysis and its Application, DOI: 10.1007/3-540-45333-4_40.
Y. Tao, T. R. Ioerger and Y. Y. Tang, 2001, “Extraction of Rotation Invariant Signature Based on Fractal Geometry,” IEEE International Conference on Image Processing, DOI: 10.1109/ ICIP.2001.959239.
N. Jin and Y. Y. Tang, 2001, “Text Area Localization under Complex-Background Using Wavelet Decomposition,” International Conference on Document Analysis and Recognition, DOI: 10.1109/ICDAR.2001.953961.
Y. Tao and Y. Y. Tang, 2001, “Discrimination of Oriental and Euramerican Scripts Using Fractal Feature,” International Conference on Document Analysis and Recognition, DOI: 10.1109/ ICDAR.2001.953959.
Y. Y. Tang and N. Jin, 2001, “Chinese Character Detection from Complex-Background Documents using Wavelet Transform,” International Conference on Computer Processing of Oriental Languages, 321-326.
Y. Y. Tang and Y. Tao, 2001, “Feature Extraction in Character Recognition Based on Wavelet-Fractal Method,” International Conference on Information Technology and Application, DOI: 10.1016/S0167-8655(01)00003-4.
K. Lee and Y. Y. Tang, 2000, “Optical Character Recognition with Enhanced-ring-projection (ERP) Algorithm and Wavelet Transform,” IAPR International Workshop on Document Analysis Systems, 197-210.
Y. Tao, E. Lam and Y. Y. Tang, 2000, “Extraction of Fractal Feature for Pattern Recognition,” International Conference on Pattern Recognition, DOI: 10.1109/ICPR.2000.906128.
K. Lau, P. Yuen and Y. Y. Tang, 2000, “EDT Cased Tracing Maximum Thinning Algorithm on Grey Scale Images,” International Conference on Pattern Recognition, DOI:10.1109/ICPR.2000. 906211.
Y. Y. Tang and J. Li, 2000, “Application of Vector Biased Wavelet to Signal Processing,” Pacific-Asia Conference on Microcomputer Application, 128-134.
B. Fang, C. Leung, Y. Y. Tang, P. Kwok, Y. Wong, 2000, “A Peripheral Feature Based Approach for Off-Line Signature Verification,” International Conference on Computer Vision, Pattern Recognition and Image Processing, 236-239.
Y. Y. Tang, Y. Tao and E. Lam, 1999, “The Application of Fractal Analysis to Feature Extraction,” International Conference on Image Processing, DOI: 10.1109/ICIP.1999.823023.
Y. Tao and Y. Y. Tang, 1999, “The Feature Extraction of Chinese Character Based on Contour Information,” International Conference on Document Analysis and Recognition, DOI: 10.1109/ ICDAR.1999.791868.
Y. Y. Tang and Y. Tao, 1999, “Feature Extraction by Fractal Dimensions,” International Conference on Document Analysis and Recognition, 217-220.
Y. Y. Tang, Q. Sun, H. Ma, D. Ren, Y. Tang and Z. Chen, 1999, “Accelerating the 2-D Mallat Decomposition Algorithm with Cyclical Convolution and FNTT,” International Conference on Document Analysis and Recognition, DOI: 10.1109/ICDAR.1999.791731.
L. Feng, Y. Y. Tang and L. Yang, 1999, “A Wavelet Approach to Extracting Contours of Document Images,” International Conference on Document Analysis and Recognition, DOI: 10.1109/ ICDAR.1999.791727.
D. Xi, S-W. Lee and Y. Y. Tang, 1999, “A Novel Method for Discriminating between Oriental and European Scripts by Fractal Features,” International Conference on Document Analysis and Recognition, DOI: 10.1109/ICDAR.1999.791795.
B. Fang, Y. Wang, C. Leung, Y. Y. Tang, P. Kwok, K. Tse and Y. Wong, 1999, “A Smoothness Index-based Approach for Off-line Signature Verification,” International Conference on Document Analysis and Recognition, DOI: 10.1109/ICDAR.1999.791905.
J. Zhong, C. Leung and Y. Y. Tang, 1999, “Wavelet Image Compression Based on Significance Clustering and Rate Distortion Optimization,” International Symposium on Signal Processing and its Applications, DOI: 10.1109/ISSPA.1999.815800.
Y. Y. Tang, Y. Tao, J. Tao and D. Xi, 1999, “New Method of Feature Extraction Using Fractal and Wavelet,” SPIE International Optical Pattern Recognition, 248 – 258.
Y. Y. Tang, L. Feng, J. Liu and L. Yang, 1999, “Multiresolution Adaptive Wavelet Edge Detection,” International Conference on Multimodal Interface, V-7 – 11.
L. Zeng, Y. Y. Tang and W. Xu, 1999, “Detect Edges Respectively from the Image and Projections of ICT by Wavelet Analysis,” International Conference on Multimodal Interface, VI-1 – 4.
B. Fang, C. Leung, Y. Y. Tang, P. Kwok, K. Tse and Y. Wong, 1999, “Off-line Signature Verification based on a Smoothness Index,” International Conference on Multimodal Interface, VI-105 – 108.
Y. Tao, E. Lam, C. Huang and Y. Y. Tang, 1999, “Information Treatment for Chinese Character Recognition,” International Conference on Multimodal Interface, VI-109 – 114.
Y. Y. Tang, Z. Chen, J. Mak and D. Xi, 1999, “Wavelet Method for Breast Cancer Detection in Digital Mammograms,” International Conference on Multimodal Interface), VI-121 – 126.
Li Feng, Q. Sun, L. Yang, Fu Chang and Y. Y. Tang, 1998, “A Fast Synthesized 2-D Convolution for Contour Extraction of Document Images,” IAPR Workshop on Document Analysis Systems, 137-140.
Y. Y. Tang, L. Yang and Li Feng, 1998, “Characterization and Detection of Edges by Lipschitz Exponents and MASW Wavelet Transform,” International Conference on Pattern Recognition, DOI: 10.1109/ICPR.1998.712011.
Y. Y. Tang, L. Yang and L. Feng, 1998, “Contour Detection of Handwriting by Modular-angle-Separated Wavelets,” International Workshop on Frontiers of Handwriting Recognition, 357-366.
Y. Y. Tang, Q. Sun, L. Yang and L. Feng, 1998, “Two-Dimensional Overlap-Save Method for Discrete Wavelet Transform,” International Workshop on Frontiers of Handwriting Recognition, 627-636.
K. Lau, P. Yuen and Y. Y. Tang, 1998, “A New Function-based On-line Signature Verification Method,” International Workshop on Frontiers of Handwriting Recognition, 449-454.
J. Zhong, C. Leung and Y. Y. Tang, 1998, “An Improved Zerotree Wavelet Image Coder Based on Significance Checking in Wavelet Trees” IEEE International Conference on System, Man, and Cybernetics, DOI: 10.1109/ICSMC.1998.727571.
Y. Y. Tang and C. Y. Suen, 1998, “H(w)ÞMRA: Theoretical Analysis and Application to Pattern Recognition and Document Analysis,” Vision Interface’98, 405-412.
J. Liu, J. Wu and Y. Y. Tang, 1997, “On Emergence of Group Behavior in a Genetically Controlled Autonomous Agent System,” IEEE International Conference on Evolutionary Computation, DOI: 10.1109/ICEC.1998.699853.
J. Liu, and Y. Y. Tang, 1997, “Evolutionary Image Processing,” IEEE International Conference on Evolutionary Computation, 283-288.
J. Liu, D. Maluf and Y. Y. Tang, 1997, “Toward Evolutionary Autonomous Agents (eA2) for Computational Perception,” IEEE International Conference on System, Man, and Cybernetics, 4, 3096-3101.
Y. Y. Tang, L. Yang and J. Liu, 1997, “Quadratic Spline Wavelet Approach to Automatic Extraction of Baselines from Document Images,” International Conference on Document Analysis and Recognition, DOI: 10.1109/ICDAR.1997.620596.
X. Zhao, X. Liu, S. Zheng, B. Pan and Y. Y. Tang, 1997, “On-Line Recognition Handwritten Mathematical Symbols,” International Conference on Document Analysis and Recognition, DOI: 10.1109/ICDAR.1997.620585.
C. Yu, C. Y. Suen and Y. Y. Tang, 1997, “Location and Recognition of Legal Amounts on Chinese Bank Cheques,” International Conference on Document Analysis and Recognition, DOI: 10.1109/ICDAR.1997.620570.
Y. Y. Tang and J. Liu, 1997, “Information Acquisition and Storage of Forms in Document Processing,” International Conference on Document Analysis and Recognition, DOI: 10.1109/ ICDAR.1997.619835.
J. Liu, J. Wu and Y. Y. Tang, 1997, “An Evolutionary Computation Approach to Group Behavior Acquisition in Autonomous Robots,” Workshop on Intelligent Robotics: From the Structured to Less Structured Environments, 7-12.
J. Liu and Y. Y. Tang, 1997, “Modeling and Learning Robot Manipulation Strategies,” International Symposium on Experimental Robotics, DOI: 10.1007/BFb0113002.
C. Yu, C. Y. Suen and Y. Y. Tang, 1997, “Extraction and Recognition of Legal Amounts Using Currency Unit Key-words in Chinese Cheque Processing System,” International Conference on Computer Processing of Oriental Languages, 45-51.
H. Ma, Y. Y. Tang, B. Li, J. Liu and C. Y. Suen, 1997, “Wavelet Transform Extracting Features in Chinese Character Recognition,” International Conference on Computer Processing of Oriental Languages, I, 262-265.
Y. Y. Tang, L. Yang and J. Liu, 1997, “Wavelet-based Edge Detection in Chinese Document,” International Conference on Computer Processing of Oriental Languages, I, 333-336.
J. Liu and Y. Y. Tang, 1997, “A Spatial Reasoning Approach to Layout Analysis of Chinese Document,” International Conference on Computer Processing of Oriental Languages, I, 341-344.
J. Liu and Y. Y. Tang, 1997, “An “Imagebots” (Image-Robots) Approach to Chinese Document Image Processing,” International Conference on Computer Processing of Oriental Languages, I, 41-44.
P. Yuen, G. Feng and Y. Y. Tang, 1997, “Printed Chinese Character Similarity Measurement Using Ring-projection and Distance Transform,” International Conference on Computer Processing of Oriental Languages, II, 554-559.
W. Chen, S. Xiao and Y. Y. Tang, 1997, “Chinese Speech Synthesis by Multiwavelets,” International Conference on Computer Processing of Oriental Languages, I, 345-348.
Q. He, Y. Y. Tang, J. Liu, B. Fang and Y. Fang, 1997, “Fuzzy Inference Approach to Recognition of Chinese Speakers,” International Conference on Computer Processing of Oriental Languages, I, 289-293.
Y. Huang, L. Tu, A. Shie, I. Shyu, M. Liang, R. Tsay, P. Huang, Y. Y. Tang and C. Y. Suen, 1997, “A Novel Approach for Designing Highly Reliable Chinese Character Recognition Systems,” International Conference on Computer Processing of Oriental Languages, II, 693-696.
J. Liu, H. Qin, Y. Y. Tang and Y. Wu, 1997, “Adaptation and Learning in Animated Creatures,” ACM/AAAI International Conference on Autonomous Agents, DOI:10.1145/267658. 267743.
Y. Y. Tang, H. Ma, B. F. Li and J. Liu, 1996, “Character Recognition Based on Doubechies’ Wavelet,” International Conference on Multimodal Interface,.215-220.
Y. Y. Tang, H. Ma, B. F. Li and J. Liu, 1996, “Two-Dimensional Wavelet Transform in Document Analysis,” International Conference on Multimodal Interface, 274-279.
Q. He, Y. Y. Tang, J. Liu, B. Fang and Y. Fang, 1996, “Fuzzy Inference Approach of Chinese Speakers,” International Conference on Multimodal Interface, 116-122.
J. Liu and Y. Y. Tang, 1996, “A Method of Integrated Layout Reasoning for Locating Focus-Of-Interest in Printed Documents,” International Conference on Multimodal Interface, 262-266.
J. Liu and Y. Y. Tang, 1996, “A New Generation of Autonomous Image Agents for Spontaneous Perceptual Computation of Features,” International Conference on Multimodal Interface, 293-298.
J. Liu and Y. Y. Tang, 1996, “Context-Sensitive Grammer-Based Planning: A Methodology for Interpreting Task-Oriented Robotic Instructions,” International Conference on Multimodal Interface, 252-257.
J. Liu and Y. Y. Tang, 1996, “Communicating with Animated Creatures in Behavioral Languages,” International Conference on Multimodal Interface, 25-30.
J. Liu and Y. Y. Tang, 1996, “Evidential Inference with Embedded Pattern Classifiers: Towards a Medical Expert System for Early Cancer Diagnosis” IEEE International Conference on System, Man, and Cybernetics, 2, 1096-1101.
J. Liu, M. Desmarais and Y. Y. Tang, 1996, “A Method of Learning Implication Networks from Empirical Data: Algorithms and Monte-Carlo Simulation Based Validation” IEEE International Conference on System, Man, and Cybernetics, 2, 1291-1296.
J. Liu and Y. Y. Tang, 1996, “Evolutionary Cellular Automata for Emergent Image Features,” International Conference on Neural Information Processing, 458-463.
Y. Y. Tang, B. Li, H. Ma, J. Liu and C. Y. Suen, 1996, “A Novel Approach to Optical Character Recognition Based on Ring-Projection-Wavelet-Fractal Signatures,” International Conference on Pattern Recognition, II, 325-329.
J. Liu, Y. Y. Tang and C. Y. Suen, 1996, “Adaptive Rectangle-Shaped Document Segmentation and Geometric Relation Labeling: Algorithms and Experimental Results,” International Conference on Pattern Recognition, III, 763-767.
Q. He, Y. Y. Tang, J. Long, J. Zhou, K. Liu and C. Y. Suen, 1995, “Chinese Speech Processing Using Discrete Wavelet Transform (DWT),” International Conference on Computer Processing of Oriental Languages, 15-22.
Y. Y. Tang, H. Ma, X. Mao, D. Liu and C. Y. Suen, 1995, “A New Approach to Document Analysis Based on Modified Fractal Signature,” International Conference on Document Analysis and Recognition, pp. 567-570.
Y. Y. Tang, H. Ma, D. Xi, Y. Cheng and C. Y. Suen, 1995, “Extraction of Reference Lines from Document with Grey-Level Background Using Sub-Image of Wavelets,” International Conference on Document Analysis and Recognition, 571-574.
J. Yuan, Y. Y. Tang and C. Y. Suen, 1995, “Four Directional Adjacency Graphs (FDAG) and their Application in Locating Fields in Forms,” International Conference on Document Analysis and Recognition, 752-755.
C. Yu, Y. Y. Tang and C. Y. Suen, 1995, “Document Skew Detection Based on the Fractal and Least Squares Method,” International Conference on Document Analysis and Recognition, 1149-1152.
E. Kim, S. W. Lee and Y. Y. Tang, 1995, “Shape Restoration of Nonlinear Distorted Document Images with Coons Transformation,” International Conference on Document Analysis and Recognition, 235-238.
C. Y. Suen and Y. Y. Tang, 1995, “Analysis and Recognition of Documents by Computer,” Annual Symposium of the Association of Forensic Document Examiners and the 7th Biennial Conference of the International Graphonomics Society, 152-153.
Y. Y. Tang and C. Y. Suen, 1994, “Extraction of Peripheral Shape Features in Chinese Character Recognition,” International Conference on Pattern Recognition, Jerusalem, Israel, II, 377-379.
Y. Y. Tang, T. Li and C. Y. Suen, 1994, “VLSI Arrays for Speech Processing with Linear Predictive Coding,” International Conference on Pattern Recognition, III, 357-359.
Y. Y. Tang, L. Tu, W. Lin, L. Shyu, T. Li and C. Y. Suen, 1994, “Chinese Character Recognition with Stroke Features and Tree-Structured Neural Network,” International Conference on Computer Processing of Oriental Languages, 347-352.
Y. Y. Tang, T. Li, K. Lin and C. Y. Suen, 1994, “Chinese Character Recognition Using Peripheral Shape Features,” Pacific Rim International Conference on Artificial Intelligence, 809-815.
L. Fang, A. Mitiche, T. Li and Y. Y. Tang, 1994, “A Classifier Using Parzen Windows on Decision Trees,” Pacific Rim International Conference on Artificial Intelligence, 833-839.
Y. Y. Tang, C. Y. Suen, T. Li and L. Fang, 1994, “Pattern Classification Based on Adaptive Self-Organizing Neural Network,” Annual Symposium on Document Analysis and Information Retrieval, 103-114.
Y. Y. Tang, T. Li and S. W. Lee, 1993, “VLSI Implementation for HVRI Algorithm in Pattern Recognition,” International Conference on Document Analysis and Recognition, 460-463.
Y. Y. Tang and C. Y. Suen, 1993, “Document Structures: A Survey,” International Conference on Document Analysis and Recognition, 99-102.
C. Yu, Y. Y. Tang and C. Y. Suen, 1993, “Document Architecture Language (DAL) Approach to Document Processing,” International Conference on Document Analysis and Recognition, 103-106.
S. W. Lee, J. Park and Y. Y. Tang, 1993, “Performance Evaluation of Nonlinear Shape Normalization Methods for Recognition of Large-Set Handwritten Oriental Characters,” International Conference on Document Analysis and Recognition, 402-407.
Y. Y. Tang, S. W. Lee and C. Y. Suen, 1993, “An Approximation of Perspective Image Using Bilinear Model,” International Conference on Signal Processing, 953-956.
Y. Y. Tang, T. S. W. Lee and C. Y. Suen, 1993, “VLSI Architecture for HVRPT Algorithm,” International Conference on Signal Processing, 377-380.
Y. Y. Tang, S. W. Lee, M. Cheriet, C. Yan and C. Y. Suen, 1992, “Automated Knowledge Acquisition from Form Documents,” Pacific Rim International Conference on Artificial Intelligence, 2, 840-846.
Y. Y. Tang, S. W. Lee and C. Y. Suen, 1992, “VLSI Architecture for Pattern Recognition Based on Algorithm-Array Mapping,” Pacific Rim International Conference on Artificial Intelligence, . 2, 1036-1042.
Y. Y. Tang, X. Cheng, L. Tao and C. Y. Suen, 1992, “VLSI Architecture for Parallel Concentration-Contour Approach,” International Conference on Pattern Recognition, 4, 151-154.
Y. Y. Tang and C. Y. Suen, 1992, “Parallel Character Recognition Based on Regional Projection Transformation (RPT),” International Conference on Pattern Recognition, 2, 631-634.
T. Li, Y. Y. Tang, C. Y. Suen, L. Y. Fang and A. Jennings, “A Structurally Adaptive Neural Tree for the Recognition of Large Character Set,” 1992 International Conference on Pattern Recognition, 2, 187-190.
Y. Y. Tang, C. Y. Suen, M. Talaat and R. Inglese, “RP Transformation for Pattern Recognition,” 1992 Vision Interface, 225-230.
T. Li, Y. Y. Tang, C. Y. Suen, L. Fang and A. Jennings, 1992, “Adaptive Neural Tree for Pattern Recognition,” Vision Interface, 43-48.
Y. Y. Tang and C. Y. Suen, 1992, “Form Understanding for Automated Knowledge Acquisition,” Adaptive and Learning Systems ’92, DOI: 10.1117/12.139957.
L. Tao, X. Cheng and Y. Y. Tang, 1992, “Efficient Heuristics for Program Mapping on Mesh Machines,” Supercomputing Symposium ’92, 67-77.
Y. Y. Tang, C. Y. Suen, C. Yan and M. Cheriet, 1991, “Document Analysis and Understanding: a brief survey,” International Conference on Document analysis and Recognition, 17-31.
Y. Y. Tang, C. Yan and C. Y. Suen, 1991, “Chinese Form Pre-Processing for Automatic Data Entry,” International Conference on Computer Processing of Chinese and Oriental Languages, 313-318.
Y. Y. Tang, C. Y. Suen, Y. Qu and M. Zhang, 1991, “Multiple-Level Information Source Model: Theoretical Analysis and Application in Pattern Recognition,” International Symposium on Information Theory, 371.
Y. Y. Tang, Y. Lu and C. Y. Suen, 1991, “A Robot Vision System for Pedestrian Flow Detection,” Intelligent Robotic Systems and Visual Communications and Image Processing ’91, 1611, 630-641.
C. Yan, Y. Y. Tang and C. Y. Suen, 1991, “Form Understanding System Based on Form Description Language,” International Conference on Document analysis and Recognition, 283-292.
S. W. Lee, H. Park and Y. Y. Tang, 1991, “Translation-, Scale-, and Rotation-Invariant Recognition of Hangul Characters with Transformation Ring Projection,” International Conference on Document analysis and Recognition, 829-836.
M. Zhang, Y. Y. Tang, C. Y. Suen and T. D. Bui, 1991, “A Study on Associating Schemes in Associative Memory Classifier,” IEEE International Symposium on Information Theory, 372.
Z. Li, C. Y. Suen, T. D. Bui, Y. Y. Tang and Q. Gu, 1991, “Splitting-Integrating Method for Image Transformations,” International Conference on Industrial and Applied Mathematics, 125.
H. Cheng, Y. Y. Tang and C. Y. Suen, 1991, “Size-Orientation-Invariant Character Recognition and its VLSI Implementation,” IEEE COMPEURO Conference, 63-67.
Y. Y. Tang and C. Y. Suen, 1990, “Nonlinear Shape Restoration by Transformation Models,” International Conference on Pattern Recognition, II, 14-19.
H. Cheng, Y. Y. Tang, C. Y. Suen and Q. S. Gao, 1989, “VLSI Architecture for Image Transformation,” IEEE COMPEURO Conference, 2.124-2.126.
Z. Li, C. Y. Suen, T. D. Bui, Y. Y. Tang and Q. Gu, 1989, “Discrete Approaches for Digital Images and Patterns of Transformations,” International Conference on Image Analysis and Processing, Positano, 86-93.
Z. Li, C. Y. Suen, T. D. Bui, Q. Gu and Y. Y. Tang, 1989, “Digitized Images and Patterns of Perspective Transformations,” International Conference on Image Analysis and Processing, Positano, 465-569.
Y. Z. Qu, Y. Y. Tang and C. Y. Suen, 1989, “Entropy-Reduced Transformation (I): Theoretical Analysis and Application in Pattern Recognition,” IEEE International Computer Science Conference, 486-493.
Y. Y. Tang, Y. Z. Qu and C. Y. Suen, 1989, “Entropy-Reduced Transformation Approaches to Pattern Recognition of Complex Data Set,” International Workshop on Computer Vision, 347-350.
Y. Y. Tang, H. D. Cheng and C. Y. Suen, 1988, “Size-Rotation-Invariant Character Recognition,” International Conference on Computer Processing of Chinese and Oriental Languages, 161-165.
Y. Y. Tang, Z. Li, C. Y. Suen and T.D. Bui, 1988, “Conversion of Chinese Characters by Transformation Models,” International Conference on Computer Processing of Chinese and Oriental Languages, 293-29.
K. Wang, Y. Y. Tang and C. Y. Suen, 1988, “Multi-Layer Projections for Classification of Similar Chinese Characters,” International Conference on Pattern Recognition, 842-844.
Z. Li, T.D. Bui, C. Y. Suen and Y. Y. Tang, 1988, “Nonlinear Transformations of Digitized Pattern,” International Conference on Pattern Recognition, 842-844.
C. Y. Suen, Y. Y. Tang and Q. R. Wang, 1986, “Feature Extraction in the Recognition of Chinese Characters Printed in Different Fonts,” International Conference Chinese Computing, 136-143.
Q. R. Wang, C. Y. Suen and Y. Y. Tang, 1985, “Application of A Statistical Equivalent Block Classifier in the Recognition of Chinese Characters Printed in Different Fonts,” International Conference Chinese Computing, H2.1-H2.13.
Y. Y. Tang, C. Y. Suen and Q. R. Wang, 1984, “Chinese Character Classification by Globally Trained Tree-Classifier and Fourier Descriptors of Condensed Patterns,” IEEE 1-st International Conference on Computer and Applications, 215-220.

Granted Patents

S. Zeng, Y. Y. Tang, Z. Kang, C. Yuan, L. Jiang, T. T. Liao and L. Chen, iris image normalization method, device and computer-readable storage medium, 2020-12.-01, China, ZI 2018 1 0171295.7.
S. Zeng, Y. Y. Tang, Z. Kang, C. Yuan, T. T. Liao, L. Jiang and L. Chen, a method, device and computer-readable storage medium for processing iris images, 2020-10.-30, China, ZI 2018 1 0174415.9.
B. Fang, N. C. Zhong, Y. Wang, Y. Y. Tang, L. W. Tan, S. Z. Yang, J. H. Dong, Z. K. Li and Y. Li; A blood vessel bifurcation surface reconstruction method based on triangulation of cavity areas, 2016-04.-20, China, ZL201310201146 .8.
B. Fang, N. C. Zhong, Y. Wang, Y. Y. Tang, L. W. Tan, S. Z. Yang, J. H. Dong and Y. Li; A three-dimensional visual reconstruction method of blood vessel bifurcation; 2016-01-20, China, ZL201310067964.3.
B. Fang, T. P. Zhang, Y. Y. Tang and J. Wen; a signature recognition method, 2009-01-14, China, ZL200710078322.8.
B. Fang, R. Chen, J. Wen and Y. Y. Tang; A method for extracting key patterns from image documents, 2012-02-15, China, ZL201010225300.1.
J. Wen, B. Fang, J. L. Chen and Y. Y. Tang; A handwriting identification method based on local contour structure encoding, 2014-06-25, China, ZL201110026769.7.

US/European Patents that Quoted Prof. Tang’s Publications

US 6,636,631 B2, Optical Character Reading Method and System for a Document with Ruled Lines and Its Application.
US 6,725,220 B2, System and Method for Integrating Paper-Based Business Documents with Computer readable Data Entered via a Computer Network.
US 6,813,381 B2, Method and Apparatus for Identification of Documents, and Computer Product.
US 7,315,630 B2, Perfecting of Digital Image Rendering Parameters within Rendering Devices Using Face Detection.
US 7,317,815 B2, Digital Image Processing Composition Using Face Detection Information.
US 7,369,713 B2, Image Processing Apparatus and Method for Determining Whether an Image Is of a Vertical or Horizontal Writing.
US 7,441,181 B2, Automatic Information Input Program.
US 72,69,292, Digital Image Adjustable Compression and Resolution Using Face Detection Information.
US 75,74,016 B2, Digital Image Processing Using Face Detection Information.
US 73,97,957 B2, Discrete Wavelet Transform Unit and Method for Adaptively Encoding Still Image Based on Energy of Each Block.
US 7,440,593 B1, Method of Improving Orientation and Color Balance of Digital Image Using Face Detection Information.
US 7,616,233 B2, Perfecting of Digital Image Capture Parameters within Acquisition Devices Using Face Detection.
US 7,428,700 B2, Vision-Based Document Segmentation.
6,097,834, Financial Transaction Processing Systems and Methods.
US 7,362,917 B2, Apparatus and Method for Correcting Distortion of Input Image.
EP0965943, Optical Character Reading Method and System for a Document with Ruled Lines and Their Application.
EP0996923, Financial Transaction Processing Systems and Methods

Journal Editorial Positions

Founder and Editor-in-Chief, International Journal of Wavelets, Multiresolution, and Information Processing (IJWMIP) (2003- ).
Founder and Associate Editor-in-Chief,International Journal of Frontier of Computer Science (IJFCS) (2007- 2013).
Associate Editor, International Journal of Intelligent Oncology (IJIO) (2023- )
Associate Editor, International Journal of Patter Recognition and Artificial Intelligence (IJPRAI) (1995-2019)
Editorial Board Member, International Journal on Document Analysis and Recognition (IJDAR) (1997- 2007)

Conference Organization Activities

Founder & General Chair, International Conferences on Wavelet Analysis and Pattern Recognition (ICWAPR), 2007-2024. http://www.icwpr.org
Conference Chair,2024 5th International Conference on Control, Robotics and Intelligent System (CCRIS 2024), Macau, Aug. 23-25, 2024, http://www.ccris-conf.net/
Program Chair, 2024 International Conference on Advanced Robotics, Automation Engineering and Machine Learning (ARAEML 2024), Hangzhou, China, June 28-30, 2024, http://www.araeml.net
Program Committee Member, 5th International Conference on Machine learning and Cloud Computing (MLCL 2024), Vienna, Austria, March 16- 17, 2024，https://csita2024.org/mlcl/index
Program Committee Member, 4th International Conference on AI, Machine Learning and Applications (AIMLA 2024), Copenhagen Denmark, Jan. 27-28, 2024, https://ccnet2024.org/aimla/index
Program Chair,2023 5th International Conference on Machine Learning and Natural Language Processing (MLNLP 2023), Sanya, China, Dec. 27-29, 2023, http://www.mlnlp2023.net
Program Chair, 2023 5th International Conference on Algorithms, Machine Learning and Signal Processing (AMLSP 2023) , Bangkok, Thailand, Dec. 1-3, 2023, http://www.amlsp2023.net/
Conference Chair, 2023 Asia Conference on Advanced Robotics, Automation, and Control Engineering (ARACE 2023), Chengdu, China, Aug. 18-20, 2023. http://www.arace2023.net/.
Program Chair，2023 International Conference on Innovations and Development of Information Technologies and Robotics (IDITR 2023), Chengdu, China, May 26-28, 2023. https://iditr.org/com.html.
Organizing Committee Chair, The 7th International Conference on Machine Vision and Information Technology (CMVIT 2023), Xiamen, China, Feb. 24-26, 2023, https://www.cmvit.org/
Organizing Committee Member,3rd Global Summit and Expo on Robot Intelligence Technology and Applications (GSERITA2023), Barcelona, Spain, Oct. 26-28, 2023, https://www.thescientistt.com/2023/robot-intelligence-technology-applications.
Honorary Chair, 2022 International Conference on Electronics, Mechanical Engineering and Computer Science (EMECS 2022), Xiamen, China, October. 21-23, 2023, http://www.emecs2022.net/
Technical Program Committee (TPC) Member,2022 International Conference on Big Data and Artificial Intelligence (ICBDAI 2022), Wuhan, China, September 24-25, 2022. https://www.icbdai.com/
Conference Chair, 2022 International Conference on Algorithms, Data Mining, and Information Technology (ADMIT 2022), Xi’an, China, September 23-25, 2022. http://www.admit2022.net/
Program Chair，2022 International Conference on Innovations and Development of Information Technologies and Robotics (IDITR 2022), Chengdu, China, May 27-29, 2022. https://iditr.org/com.html.
Conference Chair，5th International Conference on Data Science and Information Technology (DSIT 2022), Shanghai, China, July 22-24, 2022.http://www.dsit2022.net/
Program Committee Chair, 2022 International Conference on Networks, Communications and Information Technology (CNCTT 2022), Beijing, China, June 17-19, 2022, http://www.cncit2022.net/
Conference Co-Chair,The 3rd International Conference on Pattern Recognition and Artificial Intelligence, (ICPRAI’2022), Paris, France, June 1-3, 2022.https://icprai2022.sciencesconf.org
Organizing Committee Chair, The 6th International Conference on Machine Vision and Information Technology (CMVIT 2022), Haikou, China, Feb. 24-26, 2022, https://www.cmvit.org/
Conference Chair, The 3rd International Conference on Pattern Recognition and Artificial Intelligence, (ICPRAI’2022), Paris, France, June 1-3, 2022. https://icprai2022.scienceconf.org
General Chair, The 2nd International Conference on Pattern Recognition and Artificial Intelligence, (ICPRAI’2020), Zhongshan, China, Oct. 19-23. http://www.icprai2020.com/
Congress Chair, 2012 World Intelligence Congress:WI 2012, IAT 2012, AMT 2012, BI 2012, ISMIS 2012, Macau, Dec. 4-7, 2012, http://www.fst.umac.mo/wic2012.
General Chair,The 18th International Conference on Pattern Recognition, (ICPR’06), Hong Kong, Aug. 20-24, 2006, http://www.comp.hkbu.edu.hk/~icpr06.
Organizing Chair, The 8th International Conference on Document Analysis and Recognition (ICDAR’05), Seoul, Korea, August 31-September 1, 2005.
General Chair, The International Computer Congress 2004 on Wavelet Analysis and Its Applications, and Active Media Technology, 2004.
General Chair,The 3rd International Conference on Wavelet Analysis and Its Applications (ICWAA’03), Chongqing, May 28-30, 2003.
Program Chair, The International Conference on Machine Learning and Cybernetics 2002 (ICMLC-2002), Beijing, China, November 4-5, 2002.
General Chair, The 1st International Conference on Information Technology and Application (ICITA 2001), Sanya, China, January 16-17, 2001,
Program Chair,The 2nd International Conference on Wavelet Analysis and Its Application (ICWAA’01), Hong Kong, December 17-19, 2001. https://www.comp.hkbu.edu.hk/ICWAA01/
Program Chair,The 2nd International Conference on Multimodel Interface (ICMI’99), Hong Kong, January 5-7, 1999. https://www.comp.hkbu.edu.hk/ICMI99/
General Chair,The 17th International Conference on Computer Processing of Oriental Languages (ICCPOL’97), Hong Kong, April 4, 2-4, 1997. https://www.comp.hkbu.edu.hk/~icppol/index.html
Chair of Local Arrangements, The 3rd International Conference on Document Analysis and Recognition (ICDAR’95), Montreal, Canada, August 14-16, 1995. http://conferences.visionbib.com/1995/icdar-8-95-call