Hang Li’s Homepage

I am the Head of Research at Bytedance Technology. I joined Bytedance in 2017. 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.

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, information retrieval, machine learning, and data mining.

Contact

Bytedance Technology, Fangheng, No. 27, North 3rd Ring West Road, Haidian District, Beijing, 100006, China

Mail: lihang.lh @ bytedance.com

Selected Archive Papers

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.
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, 2024. Toward Optimal LLM Alignments Using Two-Player Games. arXiv preprint arXiv:2406.10977.
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 Recent Publications

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.
Z Liu, Z Wang, Y Lin, H Li, A Neural-Symbolic Approach to Natural Language Understanding, EMNLP 2023 Finding.
X Wu, J Zhang, H Li, Text-to-Table, a New Way of Information Extraction, ACL 2022.
Y Zeng, X Zhang, H Li, Multi-Grained Vision Language Pre-training: Aligning Texts with Visual Concepts, ICML 2022.
Y Feng, Y Wang, H Li, A Sequence-to-Sequence Approach to Dialogue State Tracking, ACL 2021.
S Zhang, H Huang, J Liu, H Li, Spelling Error Correction with Soft-Masked BERT, ACL 2020.
X Zhang, H Xie, H Li, J CS Lui, Conversational Contextual Bandit: Algorithm and Application, WebConf 2020.
Ziniu Hu, Yang Wang, Qu Peng, Hang Li, Unbiased LambdaMART: An Unbiased Pairwise Learning to Rank Algorithm, WebConf 2019.
Zichao Li, Xin Jiang, Lifeng Shang, Hang Li, Paraphrase Generation Using Deep Reinforcement Learning, EMNLP 2018.

Recent Books

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.