Hi! I completed my M.Eng. degree in Computer Science and Technology at the School of Computer Science at Shanghai Jiao Tong University in 2026, supervised by Prof. Hongtao Lu at the Institute of Artificial General Intelligence (AGI Lab). I received the B.S. degree in Mathematics and Applied Mathematics from East China Normal University in 2018. Here is my CV.

My primary areas of research interest include continual learning, computer vision, federated continual learning and orientation estimation. I have published several papers at international conferences and journals with total Google Scholar citations .

🔥 News

• 2026.05:  🎉🎉 One paper accepted by ICML 2026!
• 2026.03:  🎉🎉 One paper accepted by CVIU!
• 2025.08:  🎉🎉 One paper accepted by CIKM 2025!
• 2025.07:  🎉🎉 One paper accepted by ACMMM Dataset Track 2025!
• 2025.05:  🎉🎉 One paper accepted by ICML 2025!

📖 Educations

• 2023.09 - 2026.03 , Master of Engineering in Computer Science and Technology, Shanghai Jiao Tong University, China.
• 2025.08 - 2025.12 , Visiting Student at TrustFUL Lab, CCDS, Nanyang Technological University, Singapore
• 2014.09 - 2018.07, Bachelor of Science in Mathematics and Applied Mathematics, East Chine Normal University, China.

📝 Publications

ICML 2025

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

• 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)
  

• TextResNet: Decoupling and Routing Optimization Signals in Compound AI Systems via Deep Residual Tuning

  Suizhi Huang, Mei Li, Han Yu, Xiaoxiao Li

  International Conference on Machine Learning (ICML) 2026
  

• MORE: Multi-Organ medical image REconstruction

  Shaokai Wu, Yapan Guo, Yanbiao Ji, Jing Tong, Yuxiang Lu, Mei Li, Suizhi Huang, Yue Ding, Hongtao Lu

  ACM International Conference on Multimedia (ACMMM Datasets) 2025
  

• From Anchors to Answers: 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

  Conference on Information and Knowledge Management (CIKM) 2025
  

📝 Preprints

• A Comprehensive Survey on Benchmarks and Solutions in Software Engineering of LLM-Empowered Agentic System

  Jiale Guo$^{\ast}$, Suizhi Huang$^{\ast}$, Mei Li$^{\ast}$, Dong Huang, Xingsheng Chen, Regina Zhang, Zhijiang Guo, Han Yu, Siu-Ming Yiu, Christian Jensen, Pietro Lio, Kwok-Yan Lam
  

🎖 Honors and Awards

• 2024-2025 National Scholarship of Graduate (top 2% national-wide)
• 2023-2024 Merit Student of Shanghai Jiao Tong University.
• 2023 First-Class Master’s Academic Scholarship
• 2015, 2016, 2017 Excellent Student Scholarship

📚 Services

• 2025 CVPR, IJCAI, ICCV, NeurIPS, TCSVT Reviewer
• 2024.09 - 2025.01, 2025.09 - 2026.01 TA, Computer Vision and Image Processing, SCS, SJTU
• 2024.02 - 2024.07 TA, Data Structure, SCS, SJTU

🔨 Skills

• Programming Languages: Python, C/C++
• Platform: Linux, Windows
• Development: PyTorch, OpenCV, Git, CUDA
• English Proficiency: IELTS Acdemic 7.0 / 9.0; GRE 327（Verbal 157, Quantitative 170）+ 4.0（Writing）
• Document Writing: LaTeX, Markdown