Scholar
Changze Lv (吕昌泽)
Google Scholar ID: t3-viUwAAAAJ
Fudan University
Citations & Impact
Citations
493
H-index
9
i10-index
9
Publications
20
Co-authors
16
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Led first-author research published at ICML, NeurIPS, and ICLR, and contributed as a co-author to works appearing at ACL, EMNLP, COLING, and IJCAI. Serves as the reviewer for conferences (ICML, ICLR, NeurIPS, ACL, EMNLP, ICCV, IJCAI, AAAI, ACM MM, COLING) and journals (IEEE Transactions on Affective Computing, Neural Networks).
Research Experience
- 2023.11 - 2025.02, Microsoft Research Asia. Artificial Intelligence & Machine Learning Group. Research on time-series forecasting. Supervised by Yansen Wang, Dongqi Han, and Dongsheng Li; 2025.03 - 2025.09, Shanghai AI Lab. AI for Science Group. Research on protein foundation models. Supervised by Lihao Wang, Jiangtao Feng, and Hao Zhou; 2025.10 - Current, Tencent. Qingyun Plan at WeChat AI Group. Research on agentic reinforcement learning.
Education
- 2018.09 - 2022.06, Bachelor in Software Engineering (School of Software, Fudan University); 2019.09 - 2022.06, Bachelor in Economics (School of Economics and Management, Fudan University, Second Degree); 2022.09 - 2027.06 (Expected), Ph.D. Student in Computer Science (School of Computer Science, Fudan University), supervised by A.P. Xiaoqing Zheng and Prof. Xuanjing Huang.
Background
- Research interests include Brain-inspired Computing, LLM Reasoning, Time Series Analysis, and AI for Science. Currently working on Agentic Reinforcement Learning, Generative Protein Foundation Models, and Biologically-Plausible Learning Algorithms.
Miscellany
- Phone/Wechat/Telegram: (+86) 13967492189. Please feel free to reach out.
