Hang Li’s Homepage

I am Chief Scientist of AIR (Institute for AI Industry Research), Tsinghua University. I am also Senior Technical Advisor of ByteDance. I worked at NEC Research during 1990 and 2001, and Microsoft Research Asia during 2001 and 2012, Naoh’s Ark Lab of Huawei Technologies during 2012 and 2017. At ByteDance, I worked as director of AI Lab during 2017 and 2022, head of research during 2022 and 2026.

I obtained a B.S. in Electrical and Electronics Engineering from Kyoto University in 1988 and a M.S. in Electrical and Electronics Engineering from Kyoto University in 1990. I earned my Ph.D. in Computer Science from the University of Tokyo in 1998.

I am an ACM Fellow, ACL Fellow, and IEEE Fellow. My research areas include natural language processing, machine learning, and robotics.

Contact

12F, Block C, Qidi science and technology building, Tsinghua Science and Technology Park, Haidian District, Beijing, China

Email: lihang @ air.tsinghua.edu.cn

Selected Archive Papers

• S Zhang, Y Lin, H Li. Memory Retrieval and Consolidation in Large Language Models through Function Tokens, arXiv:2510.08203, 2025.

• A Estornell, JF Ton, MF Taufiq, H Li. How to Train a Leader: Hierarchical Reasoning in Multi-agent LLMs, arXiv:2507.08960, 2025.

• Y Liu, P Sun, H Li, Large Language Models as Agents in Two-Player Games, arXiv:2402.08078, 2024.

• Y Liu, Y Yao, J Ton, X Zhang, R Cheng, Y Klochkov, M Taufiq, H Li, Trustworthy LLMs: Survey and Guideline for Evaluating Large Language Models’ Alignment, arXiv:2308.05374, 2023.

Selected Technical Reports

• Y Li, X Ma, J Xu, Y Cui, Z Cui, Z Han, L Huang, T Kong, Y Liu, H Niu, etc. GR-RL: Going Dexterous and Precise for Long-Horizon Robotic Manipulation, arXiv preprint arXiv:2512.01801, 2025.

• H Fang, M Zhang, H Dong, W Li, Z Wang, Q Zhang, X Tian, Y Hu, H Li. Robix: A Unified Model for Robot Interaction, Reasoning, and Planning, arXiv:2509.01106, 2025.

• Y Zhou, J Zhao, Y Zhang, B Wang, S Wang, L Chen, J Wang, H Chen, etc. Solving Formal Math Problems by Decomposition and Iterative Reflection, arXiv:2507.15225, 2025.

• C Cheang, S Chen, Z Cui, Y Hu, L Huang, T Kong, H Li, Y Li, Y Liu, X Ma, etc, GR-3 Technical Report, arXiv:2507.15493, 2025.

• S Chen, P He, J Hu, Z Liu, Y Wang, T Xu, C Zhang, C Zhang, C An, S Cai, etc, Astra: Toward General-Purpose Mobile Robots via Hierarchical Multimodal Learning, arXiv:2506.06205, 2025.

• C Cheang, B Chen, Y Jing, T Kong, H Li, Y Li, Y Liu, H Wu, J Xu, Y Yang, H Zhang, GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation, arXiv:2410.06158, 2024.

• S Cheng, Z Huang, T Ko, H Li, N Peng, L Xu, Q Zhang, Towards Achieving Human Parity on End-to-end Simultaneous Speech Translation via LLM Agent, arXiv:2407.21646, 2024.

Selected Formal Publications

• L Long, Y He, W Ye, Y Pan, Y Lin, H Li, J Zhao, W Li, Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory, ICLR 2026.

• H Li, General Framework of AI Agents, Journal of Computer Science and Technology, Vol. 40, No. 1, 2026.

• R Zheng, H Guo, Z Liu, X Zhang, Y Yao, X Xu, Z Wang, Z Xi, T Gui, Q Zhang, X Huang, H Li, Y Liu, Toward Optimal LLM Alignments Using Two-Player Games, EMNLP Findings 2025.

• Y He, G Huang, P Feng, Y Lin, Y Zhang, H Li, W E, PaSa: An LLM Agent for Comprehensive Academic Paper Search, ACL 2025.

• S Liu, Y Yao, J Jia, S Casper, N Baracaldo, P Hase, Y Yao, CY Liu, X Xu, H Li, KR Varshney, M Bansal, S Koyejo, Y Liu, Rethinking Machine Unlearning for Large Language Models, Nature Machine Intelligence, 2025.

• P Feng, Y He, G Huang, Y Lin, H Zhang, Y Zhang, H Li, AGILE: A Novel Framework of LLM Agents, NeurIPS 2024.

• T Luong, X Zhang, Z Jie, P Sun, X Jin, H Li, Reft: Reasoning with Reinforced Fine-Tuning, ACL 2024.

• Y Zeng, G Wei, J Zheng, J Zou, Y Wei, Y Zhang, H Li, Make Pixels Dance: High-dynamic Video Generation, CVPR 2024.

• H Wu, Y Jing, C Cheang, G Chen, J Xu, X Li, M Liu, H Li, T Kong, Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation, ICLR 2024.

• Y Zeng, X Zhang, H Li, J Wang, J Zhang, W Zhou. X2-VLM: All-In-One Pre-trained Model For Vision-Language Tasks, IEEE PAMI, 2023.

• H Li, Language Models: Past, Present, and Future, Communications of the ACM 65 (7), 56-63, 2023.

Recent Books

• 李航，机器学习方法, 第2版，清华大学出版社，2025.

• Hang Li, Machine Learning Methods, translated by L Lin, H Zeng, Springer, 2024.

• 李航，机器学习方法，清华大学出版社，2022.