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FACULTY

FACULTY
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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: PhD in Artificial Intelligence, School of Electrical and Electronic Engineering, Nanyang Technological University

  • Office: D1b-208

  • Final Degree: Doctor

  • Telephone: 15902083086

  • Mentor Type: PhD Supervisor

Personal profile  

Zhuang Huiping is Associate Professor and PhD Supervisor at the Shien-Ming Wu School of Intelligent Engineering, South China University of Technology. He received his PhD from Nanyang Technological University (NTU), Singapore, in 2021. He has led over 10 projects, including a subproject of the National Key R&D Program of China (2030), NSFC projects, Guangdong Provincial Surface Projects, CCF-Tencent Rhino-Bird Fund Scholar Reward Program, and Xiaomi Fund. He has been awarded the National Outstanding Overseas Student Award and the Guangzhou Youth Top Talent Award, and was invited as an Overseas Faculty at NTU for 2025–2026 (to teach course EE6430).

Specializing in Efficient Artificial Intelligence (including efficient continual learning, large models, and embodied intelligence), he has published over 80 papers. He proposed Analytic Continual Learning, pioneering a refined subfield in continual learning, which has seen over 15 publications at top conferences such as NeurIPS, ICML, and CVPR in the past two years (recently extended to large models and embodied AI). His related achievements have received a CCF-C International Conference Best Paper Award and the Singapore PREMIA Best Student Paper Achievement Award. He has led students to win the CVPR 2025 Competition First Prize, the National First Prize in the 'Challenge Cup' National College Student Extracurricular Academic Science and Technology Competition, the First Prize in the China Robot and Artificial Intelligence Competition, and the Guangdong Provincial Gold Award in the China International College Student Innovation Competition.

He has served as Co-Chair for international/domestic conferences, is a member of the CSIG Youth Working Committee and the VALSE Executive Committee (EAC), serves as Guest Editor for a JCR Q1 journal, and as Area Chair for ACL and other CCF-A conferences. He received the Outstanding Reviewer Award at ICML 2022.

Our laboratory, the MIAA Lab (Machine Intelligence and Advanced Adaptation Lab), welcomes self-motivated students to apply and join us. Undergraduate students from all grades are also encouraged to participate in our research activities.

For more information, please visit: https://zhuanghp.github.io or miaa.cc

Work Experience

  • 2024.10 to Present, Assistant Dean, Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, China.

  • 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

  • Continual Learning, Large Model, Embodied AI

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.