About Me

Hi there! My name is Run He(Chinese: 何润), and I’m currently a second year master student at the Shien-Ming Wu School of Intelligent Engineering (WUSIE), South China University of Technology (SCUT). I am currently advised by Assoc. Prof. Huiping Zhuang. Before my matser, I obtained my bachelor’s degree at the same school of WUSIE, SCUT in June, 2023.

My research interest includes Continual Learning, Federated Learning (Model Merging), and Large Language Models. My current reserach mainly focus on the continual learning of large models.

Please feel free to contact me via Email:wirh@mail.scut.edu.cn or Wechat: H-359754814 if you are interested in our works or collaborating with me 😊. Here is my CV.

Latest News

2025.06: Our paper about continual instruction tuning of LLMs is accpeted by ICCV 2025!
2025.05: Two papers about continual learning are accpeted by ICML 2025!
2025.02: One paper focusing on federated learning is accepeted by CVPR 2025.
2024.09: Two papers about continual learning are accpeted by NeurIPS 2024.

Educations

2023.09 - now, Master in Control Science and Engineering, Shien-Ming Wu School of Intelligent Engineering (WUSIE), South China University of Technology (SCUT), Guangzhou China.
2019.09 - 2023.07, Bachelor in Robotic Engineering, Shien-Ming Wu School of Intelligent Engineering (WUSIE), South China University of Technology (SCUT), Guangzhou China.

Academic Service

Invited as reviewer of NeurIPS 2025, AAAI 2026, ICLR 2026, Knowledge-Based System, Neural Networks.

Publications

†: equal contribution

* : corresponding author

Conference Papers

: Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning; Run He, Di Fang, Yicheng Xu, Yawen Cui, Ming Li, Cen Chen, Ziqian Zeng, Huiping Zhuang*; International Conference on Machine Learning (ICML), 2025; [Paper] [Codes] [ArXiv]

: AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models; Run He, Kai Tong, Di Fang, Han Sun, Ziqian Zeng, Haoran Li, Tianyi Chen, Huiping Zhuang*; IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2025; [Paper] [Codes] [ArXiv]

Any-SSR: How recursive least squares works in continual learning of large language model

Kai Tong, Kang Pan, Xiao Zhang, Erli Meng, Run He, Yawen Cui, Nuoyan Guo, Huiping Zhuang*

International Conference on Computer Vision (ICCV), 2025

[Paper] [Codes] [ArXiv] </dd> </dl>

: L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning; Xiang Zhang, Run He, Chen Jiao, Di Fang, Ming Li, Ziqian Zeng, Cen Chen, Huiping Zhuang*; International Conference on Machine Learning (ICML), 2025; [Paper][ArXiv] [Codes]

: F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning; Huiping Zhuang†, Yuchen Liu†, Run He, Kai Tong, Ziqian Zeng, Cen Chen*, Yi Wang, Lap-Pui Chau; Advances in Neural Information Processing Systems (NeurIPS), 2024; [Paper] [Codes]

: GACL: Exemplar-Free Generalized Analytic Continual Learning; Huiping Zhuang†, Yizhu Chen†, Di Fang, Run He, Kai Tong, Hongxin Wei, Ziqian Zeng*, Cen Chen*; Advances in Neural Information Processing Systems (NeurIPS), 2024; [Paper] [Codes]

: DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning; Huiping Zhuang, Run He, Kai Tong, Ziqian Zeng, Cen Chen*, Zhiping Lin; Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024; [Paper] [Codes]

: Complex Motion Planning for Quadruped Robots Using Large Language Models; Xiang Zhang, Run He, Kai Tong, Shuquan Man, Jingyu Tong, Haodong Li, Huiping Zhuang*; IEEE International Symposium on Circuits and Systems (ISCAS), 2024; [Paper]

: GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task; Huiping Zhuang*, Zhenyu Weng, Run He, Zhiping Lin, Ziqian Zeng; IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023; [Paper] [Codes]

## Journal Papers

: REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental Learning; Run He, Di Fang, Yizhu Chen, Kai Tong, Cen Chen, Yi Wang, Lap-pui Chau, Huiping Zhuang*; Knowledge-Based Systems (JCR Q1), Volume 332, 15 January 2026, 114901; [Paper]

: Class incremental learning with analytic learning for hyperspectral image classification; Huiping Zhuang, Yue Yan, Run He, Ziqian Zeng*; Journal of the Franklin Institute (JCR Q1), Volume 361, Issue 18, 2024; [Paper]