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Leilei Gan (η”˜η£Šη£Š), Ph.D.

Email: [email protected]

Address: 38 Zheda Road, Hangzhou, Zhejiang, China

About Me

I am a tenure-track Assistant Professor (Ph.D. advisor) at the School of Software Technology, Zhejiang University. I received my Ph.D. in Computer Science from Zhejiang University in March 2023, advised by Prof. Fei Wu and Prof. Yi Yang. From March to September 2023, I was a visiting Ph.D. student at Nanyang Technological University, hosted by Prof. Luu Anh Tuan.

My current research focuses on foundation models, agents, reinforcement learning, mechanistic interpretability ****and AI applications in law, finance, and industry. I have published nearly 30 papers in leading conferences and journals, including IEEE T-PAMI, ICLR, NeurIPS, ACL, and AAAI.

My research has been supported by the National Natural Science Foundation of China (NSFC), the "Pioneer & Leading Goose" R&D Program of Zhejiang, the CCF-Taobao & Tmall Research Fund, the CCF-Ant Group Research Fund, the CCF-1688 Research Fund, and the CAAI-MindSpore Open Research Fund.

I was selected for the Youth Science and Technology Innovation Leading Talent Program of Ningbo. My work received the Wen-Tsun Wu AI Science and Technology Progress Award (First Prize, 2024) and the Zhejiang Provincial Science and Technology Progress Award (First Prize, 2024).


News

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Ph.D. Student Opening β€” Deadline: September 8, 2026

I am currently recruiting direct-entry Ph.D. students to work on large language models, AI agents, and reinforcement learning. Interested students are encouraged to send their CV to [email protected] by September 8, 2026.

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πŸ“š Publications

(† = corresponding author; βˆ— = equal contribution. Full list on Google Scholar.)

2026

  1. Zongyue Li, Chengyue Yu, Lei Zang, Chenyi Zhuang, Linjian Mo, Leilei Gan†. Last Step Matters: Early Uncertainty Cannot Predict Failure in Long-Horizon Agents. EMNLP 2026