Liming ZHANG張立明 Assistant Professor Contact Faculty of Science and Technology University of Macau, E11 Avenida da Universidade, Taipa, Macau, China Room: E11-4016 Telephone: (853) 8822-8467 Fax: (853) 8822-2426 Email: lmzhang@um.edu.mo

Academic Qualification

• Ph.D. in Image processing, University of New England, Australia (2002)
• M.S. in Robot Vision & Machine Intelligence, East China Institute of Technology, China (1990)
• B.S. in Computer Software, Nankai University, China (1987)

Working Experience

• 2002–Present :    Assistant Professor, University of Macau, Macao
• 2001—2002:        Lecturer, University of Macau, Macao
• 1997—1998:        Associate Professor, Tianjin Institute of Technology, China
• 1990—1997:        Lecturer, Tianjin Institute of Technology, China

Teaching

1. Discrete System Simulation (CISC7010, CISC7117)
2. Object Oriented Programming and Data Structures (CISC2003)
3. Multimedia Computing (CISC3016)
4. Computer Vision (CISC3029)

Research

Research Interests

• Computer Vision
• Image Processing
• Artificial Intelligence
• Machine Learning
• Deep Learning
• Signal Processing

Recent Research Projects

• Zhang, L.M. (2024-2025). A New Stochastic Adaptive Fourier Decomposition Based Deep Network Design and Its Applications on Hyperspectral Image Classification. University of Macau Multi-year Research Grant.
• Zhang, L.M. (2023-2026). A Study on the Design and Development of New Supervised Deep Network Based on Stochastic Adaptive Fourier Decomposition.  The Science and Technology Development Fund of Macao (FDCT) Grant.
• Zhang, L.M. (2023-2024). A Study on ECG Signal Compression-Then-Encryption System based on Stochastic Adaptive Fourier Decomposition. University of Macau Multi-year Research Grant.
• Zhang, L. & Dai, L. (2021-2023). Common atoms learning approach based on adaptive Fourier decomposition (AFD) and its application in universal signal and image compression. The Science and Technology Development Fund of Macao (FDCT) Grant.
• Zhang, L.M. (2019-2021). A Novel Robust and Efficient Video Stabilization Technique Study for Small Real Time Application Platforms. University of Macau Multi-year Research Grant.
• Zhang, L. & Qian, T. (2018-2020). Studies and Applications of Unwinding Fourier Expansions of Signals. The Science and Technology Development Fund of Macao (FDCT) Grant.
• Zhang, L. (2016-2018). An Improved Background Reconstruction Based Disocclusion Filling Study in 3D Video Generation. University of Macau Multi-year Research Grant.
• Zhang, L. (2014-2016). A Study on Scene Classification Based Automatic Depth Map Generation Algorithms for 2D Image Sequences. University of Macau Multi-year Research Grant.
• Zhang, L., Lin G. (2013-2014). A Study and Development on the Demo System of Self-Service Online Virtual Exhibition Booth Design. The Science and Technology Development Fund of Macao (FDCT) Grant.
• Zhang, L., Zhu Y. (2013-2015). A Study and Development on a Portable 2D to 3D Video Automatic Conversion System. The Science and Technology Development Fund of Macao (FDCT) Grant.
• Zhang, L. (2011-2013). A Study on a Robust Image Measure Approach – Human Neural Response Based Similarity Measure. University of Macau Multi-year Research Grant.

Selected Publications

1. Cheng, C., Zhang, L., Li, H., Cui, W., Gao, J., & Cun, Y. (2024). A Deep High-order Tensor Sparse Representation for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing.
2. Wu, Y., Zhang, L., Liu, X., & Zhang, H. (2024). A novel image encryption scheme with adaptive Fourier decomposition. Journal of the Franklin Institute.
3. Cheng, C., Zhang, L., Li, H., Dai, L., & Cui, W. (2024). A Deep Stochastic Adaptive Fourier Decomposition Network for Hyperspectral Image Classification. IEEE Transactions on Image Processing.
4. Li, X., Wei, D., Hu, X., Zhang, L., Ding, W., & Tang, Z. (2024). Statistical guaranted noisy tensor recovery by fusing low-rankness on all orientations in frequency-original domains. Information Fusion, 102262.
6. Zhang, Y. Zhang, L. Zhang. (2023). Multi-planar Data Augmentation and Lightweight Skip Connection Design for Deep Learning Based Abdominal CT Image Segmentation. IEEE Transactions on Instrumentation & Measurement.
7. Q. Xie, Q. Long, J. Li, L. Zhang; X. Hu. (2023). Application of Intelligence Binocular Vision Sensor: Mobility Solutions for Automotive Perception System. IEEE Sensors Journal.
8. Cheng, L. Zhang, H. Li, Member, W. Cui. (2023). A Dual-Branch Deep Stochastic Adaptive Fourier Decomposition Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing.
9. Mi, W., Zhang, L., Zheng, W. X., & Zhang, S. (2023). Frequency Domain Identification of Continuous-Time Hammerstein Systems With Adaptive Continuous-Time Rational Orthonormal Basis Functions. IEEE Transactions on Automatic Control.
10. Wu, Q., Zhang, Y., Zhang, L. and Yu, H., (2023). Parallel Self-Attention and Spatial-Attention Fusion for Human Pose Estimation and Running Movement Recognition. IEEE Transactions on Cognitive and Developmental Systems.
11. Wu, Q., Wu, Y., Zhang, Y., & Zhang, L. (2022). A Local–Global Estimator Based on Large Kernel CNN and Transformer for Human Pose Estimation and Running Pose Measurement. IEEE Transactions on Instrumentation and Measurement, 71, 1-12.
12. Dai, L., Zhang, L., & Li, H. (2022). Image Compression Using Stochastic-AFD Based Multi-signal Sparse Representation. IEEE Transactions on Image Processing. Vol.31, pp. 5317-5331.
13. Dai, L., & Zhang, L. (2022). A Joint Spatiotemporal Video Compression Based on Stochastic Adaptive Fourier Decomposition. IEEE Signal Processing Letters.29, pp. 1531 – 1535.
14. Ge, Y., Sheng, Z., Fang, Y., & Zhang, L. (2022). An AFD-Based ILC Dynamics Adaptive Matching Method in Frequency Domain for Distributed Consensus Control of Unknown Multiagent Systems, IEEE Transactions on Circuits and Systems I: Regular Papers. 69 (8), pp.3366-3378.
15. Qian, T., Dai, L., Zhang, L., & Chen, Z. (2022). Granular sieving algorithm for selecting best n n parameters. Mathematical Methods in the Applied Sciences, 45(12), 7495-7509.
16. Mok, K., & Zhang, L. (2022). Adaptive traffic signal management method combining deep learning and simulation. Multimedia Tools and Applications, 1-21.
17. Dai, L., Zhang, L., Chen, Z., & Ding, W. (2022). Collaborative granular sieving: A deterministic multievolutionary algorithm for multimodal optimization problems. Information Sciences, 613, 288-308.
18. Tan, C., Zhang, L., Qian, T., Brás, S., & Pinho, A. J. (2021). Statistical n-Best AFD-Based Sparse Representation for ECG Biometric Identification. IEEE Transactions on Instrumentation and Measurement, 70, 1-13.
19. Cheng, C., Li, H., & Zhang, L. (2021). Two-Branch Deconvolutional Network With Application in Stereo Matching. IEEE Transactions on Image Processing, 31, 327-340.
20. Cheng, C., Li, H., Peng, J., Cui, W., & Zhang, L. (2021). Deep High-Order Tensor Convolutional Sparse Coding for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-11.
21. Cheng, C., Li, H., Peng, J., Cui, W., & Zhang, L. (2021). Hyperspectral image classification via spectral-spatial random patches network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 4753-4764.
22. Li, J., Fang, Y., & Zhang, L. (2021). A TM-Based Adaptive Learning Data-Model for Trajectory Tracking and Real-Time Control of a Class of Nonlinear Systems. IEEE Transactions on Circuits and Systems I: Regular Papers, 69(2), 859-871.
23. Liu, X., Wu, Y., Zhang, H., Wu, J., & Zhang, L. (2021). Quaternion discrete fractional Krawtchouk transform and its application in color image encryption and watermarking. Signal Processing, 189, 108275.
24. Qian, T., Wang, X., & Zhang, L. (2021). MIMO frequency domain system identification using matrix-valued orthonormal functions. Automatica, 133, 109882.
25. Pan, B., Zhang, L., Yin, H., Lan, J., & Cao, F. (2021). An automatic 2D to 3D video conversion approach based on RGB-D images. Multimedia Tools and Applications, 80(13), 19179-19201.
26. Ye, Z., Qian, T., Zhang, L., Dai, L., Li, H., & Benediktsson, J. A. (2021). Functional Feature Extraction for Hyperspectral Image Classification With Adaptive Rational Function Approximation. IEEE Transactions on Geoscience and Remote Sensing, 59(9), 7680-7694.
27. Liang, Y., Liu, Y., Yan, Y., Zhang, L., & Wang, H. (2021). Robust visual tracking via spatio-temporal adaptive and channel selective correlation filters. Pattern Recognition, 112, 107738.
28. Wu, Y., Zhang, L., Qian, T., Liu, X., & Xie, Q. (2021). Content-adaptive image encryption with partial unwinding decomposition. Signal Processing, 181, 107911.
29. Pan, B., Zhang, L., & Wang, H. (2020). Multi-Stage Feature Pyramid Stereo Network-Based Disparity Estimation Approach for Two to Three-Dimensional Video Conversion. IEEE Transactions on Circuits and Systems for Video Technology, 31(5), 1862-1875.
30. Liu, Y., Zhang, L., Chen, Z., Yan, Y., & Wang, H. (2020). Multi-Stream siamese and faster region-based neural network for real-time object tracking. IEEE Transactions on Intelligent Transportation Systems, 22(11), 7279-7292.
31. Guo, G., Wang, H., Yan, Y., Zhang, L., & Li, B. (2020). Large margin deep embedding for aesthetic image classification. Science China Information Sciences, 63(1), 1-3.
32. Li, H., Li, H., & Zhang, L. (2019). Quaternion-based multiscale analysis for feature extraction of hyperspectral images. IEEE Transactions on Signal Processing, 67(6), 1418-1430.
33. Li, Y., Zhang, L., & Qian, T. (2019). 2D partial unwinding—a novel non-linear phase decomposition of images. IEEE Transactions on Image Processing, 28(10), 4762-4773.
34. Ye, H., Li, H., Cao, F., & Zhang, L. (2019). A hybrid truncated norm regularization method for matrix completion. IEEE Transactions on Image Processing, 28(10), 5171-5186.
35. Wu, Q., Wang, H., Liu, Y., Zhang, L., & Gao, X. (2019). SAT: Single-shot adversarial tracker. IEEE Transactions on Industrial Electronics, 67(11), 9882-9892.
36. Xiao, G., Wang, H., Yan, Y., & Zhang, L. (2019). Robust geometric model fitting based on iterative Hypergraph Construction and Partition. Neurocomputing, 336, 56-66.
37. Xie, Q., Chen, X., Zhang, L., Jiang, A., & Cui, F. (2018). A robust and efficient video anti-shaking algorithm for low-end smartphone platforms. IEEE Transactions on Consumer Electronics, 65(1), 1-10.
38. Tan, C., Zhang, L., & Wu, H. T. (2018). A novel Blaschke unwinding adaptive-Fourier-decomposition-based signal compression algorithm with application on ECG signals. IEEE journal of biomedical and health informatics, 23(2), 672-682.
39. Nie, J., Qu, S., Wei, Y., Zhang, L., & Deng, L. (2018). An infrared small target detection method based on multiscale local homogeneity measure. Infrared Physics & Technology, 90, 186-194.
40. Lai, T., Wang, H., Yan, Y., & Zhang, L. (2017). A unified hypothesis generation framework for multi-structure model fitting. Neurocomputing, 222, 144-154.
41. Zhang, L., Qian, T., Mai, W., & Dang, P. (2017). Adaptive Fourier decomposition‐based Dirac type time‐frequency distribution. Mathematical Methods in the Applied Sciences, 40(8), 2815-2833.
42. Luo, G., Zhu, Y., Li, Z., & Zhang, L. (2016). A hole filling approach based on background reconstruction for view synthesis in 3D video. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 1781-1789.
43. Chen, Z., Wang, H., Zhang, L., Yan, Y., & Liao, H. Y. M. (2016). Visual saliency detection based on homology similarity and an experimental evaluation. Journal of Visual Communication and Image Representation, 40, 251-264.
44. Xiao, G., Wang, H., Yan, Y., & Zhang, L. (2016). Mode seeking on graphs for geometric model fitting via preference analysis. Pattern Recognition Letters, 83, 294-302.
45. Wang, Z., Wan, F., Wong, C. M., & Zhang, L. (2016). Adaptive Fourier decomposition based ECG denoising. Computers in Biology and Medicine, 77, 195-205.
46. Ye, F., Zhang, L., Zhang, D., Fujita, H., & Gong, Z. (2016). A novel forecasting method based on multi-order fuzzy time series and technical analysis. Information Sciences, 367, 41-57.
47. Chen, Q., Mai, W., Zhang, L., & Mi, W. (2015). System identification by discrete rational atoms. Automatica, 56, 53-59.
48. Liu, X., Zhu, Y., Sun, Z., Diao, M., & Zhang, L. (2015). A novel robust video fingerprinting-watermarking hybrid scheme based on visual secret sharing. Multimedia Tools and Applications, 74(21), 9157-9174.
49. Zhang, L., Hong, W., Mai, W., & Qian, T. (2014). Adaptive Fourier decomposition and rational approximation—Part II: Software system design and development. International Journal of Wavelets, Multiresolution and Information Processing, 12(05), 1461009.
50. Zhang, L., Liu, N., & Yu, P. (2012). A novel instantaneous frequency algorithm and its application in stock index movement prediction. IEEE Journal of Selected Topics in Signal Processing, 6(4), 311-318.
51. Zhang, L., Li, H., & Wei, Y. (2012). Sleep spindle detection using a novel instantaneous frequency definition. Mathematical Methods in the Applied Sciences, 35(17), 2101-2110.
52. Zhang, L., Ayres, P., & Chan, K. (2011). Examining different types of collaborative learning in a complex computer-based environment: A cognitive load approach. Computers in Human Behavior, 27(1), 94-98.
53. Qian, T., Zhang, L., & Li, Z. (2011). Algorithm of adaptive Fourier decomposition. IEEE Transactions on Signal Processing, 59(12), 5899-5906.