Hi! I am a Master student at the Department of Computer Science and Engineering at Shanghai Jiao Tong University, supervised by Prof. Hongtao Lu at Center for Brain-like Computing and Machine Intelligence (BCMI Lab). Here is my CV.
My primary areas of research interest include continual learning, computer vision, federated continual learning, orientation estimation. I have published several papers at international conferences and journals with total Google Scholar citations 
π₯ News
- 2025.05: Β ππ One paper accepted by ICML 2025!
π Educations
- 2023.09 - Now , Master of Engineering in Computer Science and Technology, Shanghai Jiao Tong University, China.
- 2014.09 - 2018.07, Bachelor of Science in Mathematics and Applied Mathematics, East Chine Normal University, China.
π Publications
BECAME: BayEsian Continual Learning with Adaptive Model MErging
Mei Li, Yuxiang Lu, Qinyan Dai, Suizhi Huang, Yue Ding, Hongtao Lu
International Conference on Machine Learning (ICML) 2025
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HACMatch: Semi-Supervised Rotation Regression with Hardness-Aware Curriculum Pseudo Labeling
Mei Li, Huayi Zhou, Suizhi Huang, Yuxiang Lu, Yue Ding, Hongtao Lu
Computer Vision and Image Understanding (CVIU) Major Revision
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NT-LLM: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models
Yanbiao Ji, Chang Liu, Xin Chen, Yue Ding, Dan Luo, Mei Li, Wenqing Lin, Hongtao Lu
π Honors and Awards
- 2023-2024 Merit Student of Shanghai Jiao Tong University.
- 2023 First-Class Masterβs Academic Scholarship
- 2015-2017 Excellent Student Scholarship
π Services
- 2025 CVPR, IJCAI, ICCV Reviewer
- 2024.09 - 2025.01 TA, Computer Vision and Image Processing, SEIEE, SJTU
- 2024.02 - 2024.07 TA, Data Structure, SEIEE, SJTU
π¨ Skills
- Programming Languages: Python, C/C++
- Platform: Linux, Windows
- Development: PyTorch, OpenCV, Git, CUDA
- English Proficiency: CET-6 531
- Document Writing: LaTeX, Markdown