Positional Title: Associate Professor
Email: hpzhuang@scut.edu.cn
Working For: Shien-Ming Wu School of Intelligent Engineering
Zip Code: 510640
Graduated School: PhD in Artificial Intelligence, School of Electrical and Electronic Engineering, Nanyang Technological University
Office: D1b-208
Final Degree: Doctor
Telephone:
Mentor Type:
Huiping Zhuang is an Associate Professor and Ph.D. Supervisor. He has served as a Guest Editor at JFI, Co-Chair of WSPML2023, and is a recipient of the 2021 Outstanding Overseas Student Award from CSC, and Publicity Chair of the CSIG Young Scientist Conference. His research mainly focuses on related works to artificial intelligence (including continual learning), with over 40 published papers, 17 of which are first/corresponding author articles. He has published 11 papers in top-tier computer conferences/journals such as ICML, NeurIPS, CVPR, AAAI, ACM MM, IEEE Trans. NNLS, IEEE Trans. SMC-S, IEEE Trans. CSVT, IEEE Trans. MM, among others.
Our laboratory, the MILA Lab (Machine Intelligence and Learning Adaptation Lab), welcomes motivated students to apply. We also encourage undergraduate students from all grades to participate in laboratory research activities.
Check more in https://zhuanghp.github.io
2022.7 to Present, Assistant Professor, Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, China.
2022.1 to 2022.6 research fellow, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore.
BS, South China University of Technology, School of Science, Optical Information Science and Technology
Meng, South China University of Technology, School of Automation Science and Engineering, Control Theory and Control Engineering.
PhD, Nanyang Technological University, School of Electrical and Electronic Engineering, Artificial Intelligence.
Artificial Intelligence, Embodied AI, Large Model, Computer Architecture Design (FPGA)
Zhuang, Huiping, et al. 'DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning.' Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 38. No. 15. 2024.
Zhuang, Huiping, et al. 'GKEAL: Gaussian kernel embedded analytic learning for few-shot class incremental task.' Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2023.
Zhuang, Huiping, et al. 'ACIL: Analytic class-incremental learning with absolute memorization and privacy protection.' Advances in Neural Information Processing Systems 35 (2022): 11602-11614.
Huiping Zhuang, Yi Wang, Qinglai Liu, and Zhiping Lin. 'Fully Decoupled Neural Network Learning Using Delayed Gradients,' in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2021.3069883.
Huiping Zhuang, Zhiping Lin, and Kar-Ann Toh. 'Blockwise Recursive Moore-Penrose Inverse for Network Learning,' in IEEE Transactions on Systems, Man, and Cybernetics: Systems, doi: 10.1109/TSMC.2021.3064241.
Huiping Zhuang, Zhenyu Weng, Fulin Luo, Kar-Ann Toh, Haizhou Li, Zhiping Lin. 'Accumulated Decoupled Learning with Gradient Staleness Mitigation for Convolutional Neural Networks” International Conference of Machine Learning 2021 (spotlight).
Huiping Zhuang, Zhiping Lin, and Kar-Ann Toh. 'Training a multilayer network with low-memory kernel-and-range projection.' Journal of the Franklin Institute 357.1 (2020): 522-550.
Huiping Zhuang, Zhiping Lin, and Kar-Ann Toh. 'Correlation Projection for Analytic Learning of a Classification Network,' Neural Process Lett (2021). https://doi.org/10.1007/s11063-021-10570-2.
Xinggan Peng, Huiping Zhuang, Guang-Bin Huang, Haizhou Li and Zhiping Lin. 'Robust Real-time Face Tracking with or without Face Masks.' 2020 16th International Conference on Control, Automation, Robotics and Vision (ICARV). IEEE, 2020.
Huiping Zhuang, Zhiping Lin, and Kar-Ann Toh. 'Training Multilayer Neural Networks Analytically Using Kernel Projection,” 2021 IEEE International Symposium on Circuits and Systems.