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Honors and Awards

  • Grand Prize Award (Supervisor), 18th National Challenge Cup 第十八屆“挑戰杯” 全國大學生課外學術科技作品競賽一等獎（指導教師），UM Team (Naiyue Zhou, Guoqi Chen, Yin Gong), Supervisor: Zhixin Yang, (The only Grand Prize in Macao in recent 10 years). 12/2023.
  • First Prize Award (Supervisor), 17th National Challenge Cup 第十七屆“挑戰杯” 全國大學生課外學術科技作品競賽一等獎（指導教師），UM Team (Weixiang Liang, Shiyun Liang, Ziqin Ding), Supervisor: Zhixin Yang. 11/2021.
  • The State Scientific Innovation and Pioneer Award 榮獲中央批准設立的首屆【全國創新爭先獎狀】. As a State-level honour in China for science and technology, this award is for recognizing Chinese citizens who have made remarkable contributions to scientific research, key equipment development, and science popularizations. 2017. 很榮幸獲鼓勵，感謝國家對澳門科技工作者的關心和支持。
  • First Prize Award & Outstanding Instructor Award, Chang-Feng National Big Data Mining Contest, organized by the Chinese Institute of Electronics. 10/2021.
  • Winner of CVPR2020 UG2+ Challenge (Supervisor). Won first place in the IEEE-CVPR2020 UG2+ competition in the Challenge: “(Semi-)Supervised Object Detection in Low Light Condition”, essential technology for intelligent safety monitoring. Joint team formed by UM and Chinese Academy of Science. 06/2020.
  • Second place in CVPR2019 UG2+ competition (Supervisor), a well-known global intelligent vision challenge, Joint team formed by UM and Chinese Academy of Science. 06/2019.
  • First Prize Award (Supervisor), 16th National Challenge Cup 第十六屆“挑戰杯”全國大學生課外學術科技作品競賽一等獎（指導教師）, (The only 1st prize in Macao). 11/2019.
  • First Prize in Southern-China competition, and Nominee prize in global finals (Teacher), S.-T. Yau High School Science Award (Mathematics), 丘成桐中學科學獎（數學）南部賽區一等獎，全球總決賽提名獎（指導教師）, 12/2017.
  • Research Excellence Award of Faculty of Science and Technology, University of Macau, 08/2017.
  • First prize award (Supervisor), The Fourth Central South China, Hong Kong and Macau Undergraduate’s Creative Design and Manufacturing Competition, 2009.
  • Third prize award (Supervisor), 11th National Challenge Cup – National College Science and Technology Competition, 2009.
  • Macau expert and coach of Macau team, 38th World Professional Skill Competition, Finland, Manufacturing Trade, 2008.
  • Champion (Macau expert and coach of Macau team), The 2nd Guangzhou/Hong Kong/Macau Youth Skills Competition – Manufacturing Trade, 2004.

Selected Recent Publications

  1. Chen, H. Wang, X., Li, J., Yang, Z.X.*. (2024-06). Dynamic Focusing Network for Semisupervised Mechanical Fault Diagnosis of Rotating Machinery. IEEE Transactions on Industrial Informatics. PP. 1-12. DOI: 10.1109/TII.2024.3409443 (early access)
  2. Wang, X., Chen, H.,  Zhao, J. Song, C., Zhang, Y., Yang, Z.X.*, Wong, P.K. (2024-07). Wind Turbine Fault Diagnosis for Class-Imbalance and Small-Size Data Based on Stacked Capsule Autoencoder.  IEEE Transactions on Industrial Informatics, PP. 1-11. doi: 10.1109/TII.2024.3424211 (early access) 
  3. Chen, H. Wang, X., Yang, Z.X.*, Li, J. (2024-05). Privacy-preserving intelligent fault diagnostics for wind turbine clusters using federated stacked capsule autoencoder. Expert Systems with Applications, Volume 254, 2024, pp.1-12. 124256.
  4. Chen, H., Wang, X. -B. and Yang, Z.X.* (2023-12). A Novel Rotating Machinery Fault Diagnosis System Using Ensemble learning Capsule Autoencoder, IEEE Sensors Journal, PP(99):1-1 doi: 10.1109/JSEN.2023.3331837.
  5. Xu, S.Q., Li, F., Song, Z., Fang, J., Wang, S.F.,  Yang, Z.X.* (2024-04). Multi-Sem Fusion: Multimodal Semantic Fusion for 3D Object Detection. IEEE Transactions on Geoscience and Remote Sensing. (early access)
  6. Lyu, L., Cao, W., Ren, X. Wu, E., Yang, Z.* (2024-02). Efficient odd–even multigrid for pointwise incompressible fluid simulation on GPU. Visual Computer (2024), pp1-17. https://doi.org/10.1007/s00371-024-03264-y 
  7. Chen, H., Wang, X.B., Yang, Z.X.*. (2023-09). Semi-Supervised Self-Correcting Graph Neural Network for Intelligent Fault Diagnosis of Rotating Machinery. IEEE Transactions on Instrumentation & Measurement. vol. 72, pp. 1-11, 2023, Art no. 3536611. 
  8. Xi, R-D, Ma, T-N, Xiao, X, Yang, Z-X.* (2023-08). Design and implementation of an adaptive neural network observer–based backstepping sliding mode controller for robot manipulators. Transactions of the Institute of Measurement and Control. 2024, Vol. 46(6) 1093-1104. doi:10.1177/01423312231190169.
  9. Wang, J., Liang, W., Yang, J., Wang, S., Yang, Z.X.* (2023-05). An adaptive image enhancement approach for safety monitoring robot under insufficient illumination condition, Computers in Industry, Vol 147, 2023, 103862. doi:10.1016/j.compind.2023.103862. 
  10. Wang, D. and Yang, Z.X* (2023). Self-Supervised Point Cloud Understanding via Mask Transformer and Contrastive Learning. IEEE Robotics and Automation Letters, vol. 8, no. 1, pp. 184-191, Jan. 2023. (SCI).
  11. Yang, Z.X., Li, C.S., Wang, X.B., Chen, H. (2023). Intelligent fault monitoring and diagnosis of tunnel fans using a hierarchical cascade forest. ISA Transactions, doi:10.1016/j.isatra.2022.10.037. (SCI)
  12. Zhao, J., Zhu, Y., Wong, PK, Li, WF, Yang, Z.X., Li PS., Song CH. (2023). Non-fragile robust output feedback control of uncertain active suspension systems with stochastic network-induced delay. Nonlinear Dynamics. (SCI).
  13. Chen, H., Wang, X.B and Yang, Z. X*. (2022). Fast Robust Capsule Network With Dynamic Pruning and Multiscale Mutual Information Maximization for Compound-Fault Diagnosis. IEEE/ASME Transactions on Mechatronics, 2022, doi: 10.1109/TMECH.2022.3214865. (SCI)
  14. Wang, D., Tang, L., Wang, X., Luo, L., and Yang, Z.X.* (2022). Improving deep learning on point cloud by maximizing mutual information across layers, Pattern Recognition, 131(2022) 108892. (SCIE).
  15. Wang, D., Tang, L., Zhu, L., Yang, Z.X.* (2022). Mutual Information Maximization based Similarity Operation for 3D Point Cloud Completion Network. IEEE Signal Processing Letters, vol. 29, pp 1217-1221. (SCIE)
  16. Xi, R., Xiao, X., Ma, T., Yang, Z.X.* (2022). Adaptive Sliding Mode Disturbance Observer based Robust Control for Robot Manipulators Towards Assembly Assistance. IEEE Robotics and Automation Letters, vol. 7, no. 3, pp. 6139-6146, July 2022. (SCIE)
  17. Liu X, Yang Z-X*, Xu Z and Yan X (2022). NeuroVI-based new datasets and space attention network for the recognition and falling detection of delivery packages. Frontier in Neurorobotics. 16:934260. doi: 10.3389/fnbot.2022.934260 (SCIE)
  18. Liu, X., Yang, Z.*, Hou, J., and Huang, W. (2022). Dynamic Scene’s Laser Localization by NeuroIV-based Moving Objects Detection and LIDAR Points Evaluation. IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-14, 2022, Art no. 5230414. (SCIE)
  19. Ma, C.G., Li, J.M., Zhang, N., Bu, F., Yang, Z.X. (2022). Open-Circuit Radial Stray Magnetic Flux Density Based Noninvasive Diagnosis for Mixed Eccentricity Parameters of Interior Permanent Magnet Synchronous Motors in Electric Vehicles.  IEEE Transactions on Industrial Electronics. 70, no. 2, pp. 1983-1992, Feb. 2023, doi: 10.1109/TIE.2022.3165250. 2022. (SCIE)
  20. Cao, W., Lyu, L., Yang, Z.X.*, Wu, E. (2022). An Energy Constraint Position Based Dynamics with Corrected SPH Kernel. Science China Information Sciences, 66, 112108 (2023). (SCI).
  21. Yang, Z. X., Rong, H. J., Angelov, P. P., and Yang, Z.X*. (2022). Statistically Evolving Fuzzy Inference System for Non-Gaussian Noises. IEEE Transactions on Fuzzy Systems, vol. 30, no. 7, pp. 2649-2664, July 2022, doi: 10.1109/TFUZZ.2021.3090898. (SCIE)
  22. Yu, G., Wong, P. K., Huang, W., Zhao, J., Wang, X. -B., and Yang, Z. -X. (2022). Distributed Adaptive Consensus Protocol for Connected Vehicle Platoon With Heterogeneous Time-Varying Delays and Switching Topologies. IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 10, pp. 17620-17631. (SCIE).
  23. Hang, W., Wong, P.K., Zhao, J., Yang, Z.X, Yang, Z.X. (2022-07). Observer-based robust gain-scheduled control for semi-active air suspension systems subject to uncertainties and external disturbance. Mechanical Systems and Signal Processing, Vol 173, 2022, 109045. (SCIE)
  24. Liang, S., Xi, R., Xiao, X., Yang, Z.X*. (2022). Adaptive Sliding Mode Disturbance Observer and Deep Reinforcement Learning Based Motion Control for Micropositioners. Micromachines 13(3):458. (SCIE).
  25. Yang, Z.-X., Rong, H.-J., Wong, P.K., Angelov, P., Vong, C.M., Chiu C. W., and Yang, Z.-X. (2022). A Novel Multiple Feature‑Based Engine Knock Detection System using Sparse Bayesian Extreme Learning Machine. Cognitive Computation, 2022, 1-24. (SCIE).
  26. Chen, Y.D., Hao, C.Y., Yang, Z.X.* Wu, E. (2022). Fast Target-aware Learning for Few-shot Video Object Segmentation. Science China Information Sciences, 65, 182104 (2022). (SCIE)
  27. Liang, Z., Wang, Z., Zhao, J., Wong, P.K., Yang, Z., and Ding, Z. (2022). Fixed-Time and Fault-Tolerant Path-Following Control for Autonomous Vehicles With Unknown Parameters Subject to Prescribed Performance. IEEE Transactions on Systems, Man, and Cybernetics: Systems (SCIE)
  28. Luo L., Tang, L.L., Lui, R., Zhang, X., and Yang, Z.X.*. (2021). Multi-modality Learning for Non-rigid 3D Shape Retrieval via Structured Sparsity Regularizations. IEEE Sensors Journal, 21(20): 22985-22994, 2021. (SCIE)
  29. Yang, Z.X., Yu, G., Zhao, J., Wong, P. K., & Wang, X. (2021). Online Equivalent Degradation Indicator Calculation for Remaining Charging-discharging Cycle Determination of Lithium-ion Batteries. IEEE Transactions on Vehicular Technology, 70(7): 6613 – 6625, July (SCIE).
  30. Wang, X. B., Luo, L. Q., Tang, L.L., Yang, Z.X.*. (2021). Automatic Representation and Detection of Fault Bearings in In-wheel Motor under Variable Load Conditions. Advanced Engineering Informatics. 49(101321):1-10. doi: 10.1016/j.aei.2021.101321 (SCIE).
  31. Feng, Z., Ming, M. Ling, J., Xiao, X., Yang, Z.X., Wan, F. (2021). Fractional delay filter based repetitive control for precision tracking: Design and application to a piezoelectric nanopositioning stage. Mechanical Systems and Signal Processing, 164(108249): 1915-1930, :/10.1016/j.ymssp.2021.108249. (SCIE).
  32. Yang, Z. X., Rong, H.J., Wong, P. K., Angelov, P., Yang, Z.X. and Wang, H. (2021). Self-Evolving Data Cloud-based PID-like Controller for Nonlinear Uncertain Systems, IEEE Transactions on Industrial Electronics. Vol 68, Issue 5, pp. 4508-4518. doi: 10.1109/TIE.2020.2982094. (SCI).
  33. Ng, K. K. H., Chen, C. H., Lee, C. K. M., Jiao, J., & Yang, Z.X. (2021). A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives. Advanced Engineering Informatics, 47, 101246. doi: https://doi.org/10.1016/j.aei.2021.101246. (SCIE).
  34. Wang, D.Y., Zhou, L.J., Yang, Z.-X.*, Cui, Y. Wang, L., Jiang, J., Guo, L., (2020). A New Testing Method for the Dielectric Response of Oil-immersed Transformer, IEEE Transactions on Industrial Electronics, Vol. 67, no.12, pp. 10833-10843. 2020. (SCI)
  35. Zhang, P.-B., Yang, Z.X.* (2020). A new learning paradigm for random vector functional-link network: RVFL+, Neural Networks, Vol. 122, (2020), Pp 94-105. ISSN 0893-6080, Feb. 2020. Doi: 10.1016/j.neunet.2019.09.039. (SCI)
  36. Tang, L.L., Chen, K., Wu, C., Hong, Y., Jia, K., Yang, Z.X.* (2020). Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors. IEEE Transactions on Cybernetics, 52(6): 4949-4959. doi: 10.1109/TCYB.2020.3025798 (SCIE)
  37. Tang, L.L, Yang, Z.X.*, Jia, K. (2019). Canonical Correlation Analysis Regularization: An Effective Deep Multi-View Learning Baseline for RGB-D Object Recognition. IEEE Transactions on Cognitive and Developmental Systems, 11. No. 1, pp 107-118.  Mar. 2019. (SCIE)
  38. Liang, P., Deng, C., Wu, J., Yang, Z.X., Zhu, J., Zhang, Z. (2019). Compound Fault Diagnosis of Gearboxes via Multi-label Convolutional Neural Network and Wavelet Transform, Computers in Industry, Vol 113, 2019, 103132, DOI:/10.1016/j.compind.2019.103132. (SCI)
  39. Bao, R.J., Rong H.J., Yang, Z.X., Chen, B.D. (2019). A Novel Prognostic Approach for RUL Estimation with Evolving Joint Prediction of Continuous and Discrete States. IEEE Transactions on Industrial Informatics. vol. 15, no. 9, pp. 5089-5098, Sep. 2019. (SCI).
  40. Yang, Z.X., Wang, X.B., Wong, P.K. (2018). Single and Simultaneous Fault Diagnosis with Application to a Multistage Gearbox: A Versatile Dual-ELM Network Approach. IEEE Transactions on Industrial Informatics, 14, No. 12, pp. 5245-5255, 2018. (SCI)
  41. Zhong, J.H., Wong, P.K., Yang, Z.X. (2018). Fault diagnosis of rotating machinery based on multiple probabilistic classifiers, Mechanical Systems and Signal Processing, Vol. 108, 2018, pp 99-114. (SCI)
  42. Wang, X.B., Yang, Z.X.*, Yan, X.A. (2018). Novel Particle Swarm Optimization-Based Variational Mode Decomposition Method for the Fault Diagnosis of Complex Rotating Machinery. IEEE/ASME Transactions on Mechatronics, Vol. 23, no. 1, pp.68-79, 2018. (SCI) (Highly cited papers*)
  43. Zhang, P.B. and Yang, Z.-X.* (2018). A Novel AdaBoost Framework with Robust Threshold and Structural Optimization. IEEE Transactions on Cybernetics, 01/2018, Vol.48, Issue 1, pp.64-76. (SCI)
  44. Yang, Z.X., Tang, L.L. Zhang, K. Wong, P.K. (2018). Multi-view CNN Feature Aggregation with ELM Auto-Encoder for 3D Shape Recognition. Cognitive Computation, Vol. 10, Issue 6, pp 908–921. (SCIE)
  45. Wang, X.B., Yang, Z.X.*, Wong, P.K., Deng, C. (2018-12). Novel paralleled extreme learning machine networks for fault diagnosis of wind turbine drivetrain. Memetic Computing. 11, 127-142 (2019). DOI: 10.1007/s12293-018-0277-2 (SCIE)
  46. Yang, Z.X.*, Wang, X.B., Zhong, J.H. Representational Learning for Fault Diagnosis of Wind Turbine Equipment: A Multi-Layered Extreme Learning Machines Approach. Energies 2016, 9(6), 379. (SCIE)
  47. Wong, P.K., Zhong, J., Yang, Z.X., and Vong, C.M. Sparse Bayesian Extreme Learning Committee Machine for Engine Simultaneous Fault Diagnosis. Neurocomputing, 174(2016): 331-343. (SCIE)
  48. Fu, H., Vong, C.M., Wong, P.K. and Yang, Z.X., Fast detection of impact location using kernel extreme learning machine, Neural Computing and Applications, 27(1), pp. 121-130 (2016). (SCI)
  49. Yang, Z.X.*, Zhang, P. and Chen, L. RFID-Enabled Indoor Positioning Method for a Real-Time Manufacturing Execution System Using OS-ELM. Neurocomputing, 174(2016): 121-133. (SCIE)