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Zhuang, Huiping
Positional Title: Associate Professor
Email: hpzhuang [AT] scut-edu-cn
Working For: Shien-Ming Wu School of Intelligent Engineering
Zip Code: 510640
Graduated School: Nanyang Technological University
Office: D1b-208
Final Degree: Doctor
Telephone:
Mentor Type: PhD Supervisor
Personal profile
Zhuang Huiping is Associate Professor, and PhD Supervisor. He obtained his PhD from Nanyang Technological University (NTU), Singapore in 2022, and was awarded the Outstanding Overseas Student Prize by the National Natural Science Foundation of China (NSFC). He leads a subproject of the National Key R&D Program of China (2030) and NSFC projects, among others.
Specializing in Evolvable Intelligence (including Continual Learning and Embodied Intelligence), he has authored over 70 publications. He proposed 'Analytical Continual Learning,' pioneering a refined subfield in Evolvable Intelligence, which has seen over 10 publications in top conferences like NeurIPS and ICML in the past two years. His research has been recognized with two International Conference Best Paper Awards, one Best Student Paper Achievement Award from Singapore’s PREMIA Association, a Silver Prize in the 2025 CVPR Competition, and an invitation to deliver a keynote speech at an international conference. He has served in four academic roles (e.g., Co-Chair) for international/domestic conferences, acted as Guest Editor for the Journal of Franklin Institute (JCR Q1), and was named an Outstanding Reviewer at ICML 2022.
Our laboratory, the MIAA Lab (Machine Intelligence and Advanced 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 or miaa.cc
Work Experience
2022.7 to Present, Associate 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.
Education
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.
Research Interest
Artificial Intelligence, Embodied AI, Large Model
Research projects
Selected Publications
1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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).
7. 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.
8. 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.
9. 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.
10. Huiping Zhuang, Zhiping Lin, and Kar-Ann Toh. 'Training Multilayer Neural Networks Analytically Using Kernel Projection,” 2021 IEEE International Symposium on Circuits and Systems.