English | Chinese
Yang Liu
GDS Professor
Department of Computer Science and Technology
Institute for AI Industry Research
Tsinghua University
Bio
Yang Liu is the GDS Professor in the Department of Computer Science and Technology at Tsinghua University. He is Executive Dean of Institute for AI Industry Research (AIR) and Associate Dean of the Department of Computer Science and Technology. His research interests include artificial intelligence, natural language processing, and AI for Science. He received COLING/ACL 2006 Meritorious Asian NLP Paper Award, ACL 2017 Outstanding Paper Award, ACL 2023 Outstanding Paper Award, and ICLR 2023 Outstanding Paper Award Honorable Mention. He served as Executive Committee Member of Asia-Pacific Chapter of ACL, Editorial Board Member of Computational Linguistics, and Associate Editor of ACM TALLIP.
Research
Foundation Models for Artificial Intelligence
Directions: multilinguality, multimodality, trustworthy generation, alignment, etc.
Recent publications:
- Guan Wang, Sijie Cheng, Xianyuan Zhan, Xiangang Li, Sen Song, and Yang Liu. 2024. OpenChat: Advancing Open-source Language Models with Mixed-Quality Data. In Proceedings of ICLR 2024. [arXiv]
- Yuanchi Zhang, Yile Wang, Zijun Liu, Shuo Wang, Xiaolong Wang, Peng Li, Maosong Sun, and Yang Liu. 2024. Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages. arXiv:2402.12204. [arXiv]
- Xuanyu Lei, Zonghan Yang, Xinrui Chen, Peng Li, and Yang Liu. 2024. Scaffolding Coordinates to Promote Vision-Language Coordination in Large Multi-Modal Models. arXiv:2402.12058. [arXiv]
- Yile Wang, Sijie Cheng, Zixin Sun, Peng Li, and Yang Liu. 2024. Speak It Out: Solving Symbol-related Problems with Symbol-to-Language Conversion for Language Models. arXiv: 2401.11725. [arXiv]
- Chi Chen, Ruoyu Qin, Fuwen Luo, Xiaoyue Mi, Peng Li, Maosong Sun, and Yang Liu. 2023. Position-Enhanced Visual Instruction Tuning for Multimodal Large Language Models. arXiv:2308.13437. [arXiv]
Autonomous Agents
Directions: tool learning, evolvable agents, internet of agents, medical agents, embodied AI, etc.
Recent publications:
- Sijie Cheng, Zhicheng Guo, Jingwen Wu, Kechen Fang, Peng Li, Huaping Liu, and Yang Liu. 2024. Can Vision-Language Models Think from a First-Person Perspective?. In Proceedings of CVPR 2024. [arXiv]
- Zonghan Yang, An Liu, Zijun Liu, Kaiming Liu, Fangzhou Xiong, Yile Wang, Zeyuan Yang, Qingyuan Hu, Xinrui Chen, Zhenhe Zhang, Fuwen Luo, Zhicheng Guo, Peng Li, and Yang Liu. 2024. Towards Unified Alignment Between Agents, Humans, and Environment. arXiv:2402.07744.[arXiv]
- Yuanchun Li, Hao Wen, Weijun Wang, Xiangyu Li, Yizhen Yuan, Guohong Liu, Jiacheng Liu, Wenxing Xu, Xiang Wang, Yi Sun, Rui Kong, Yile Wang, Hanfei Geng, Jian Luan, Xuefeng Jin, Zilong Ye, Guanjing Xiong, Fan Zhang, Xiang Li, Mengwei Xu, Zhijun Li, Peng Li, Yang Liu, Ya-Qin Zhang, and Yunxin Liu. 2024. Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security. arXiv: 2401.05459. [arXiv]
- Zijun Liu, Yanzhe Zhang, Peng Li, Yang Liu, and Diyi Yang. 2023. Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization. arXiv:2310.02170. [arXiv]
- Yuzhuang Xu, Shuo Wang, Peng Li, Fuwen Luo, Xiaolong Wang, Weidong Liu, and Yang Liu. 2023. Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf. arXiv:2309.04658. [arXiv]
AI for Science
Directions: molecular dynamics simulation, foundation models for molecular systems, crystal structure prediction, AI for drug discovery, etc.
Recent publications:
- Rui Jiao, Wenbing Huang, Yu Liu, Deli Zhao, and Yang Liu. 2024. Space Group Constrained Crystal Generation. In Proceedings of ICLR 2024. [arXiv]
- Ziyang Yu, Wenbing Huang, and Yang Liu. 2024. Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction. In Proceedings of ICLR 2024. [arXiv]
- Xiangzhe Kong, Wenbing Huang, and Yang Liu. 2023. Conditional Antibody Design as 3D Equivariant Graph Translation. In Proceedings of ICLR 2023. [paper][arXiv][code] (ICLR 2023 Outstanding Paper Award Honorable Mention)
- Rui Jiao, Jiaqi Han, Wenbing Huang, Yu Rong, and Yang Liu. 2023. Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs. In Proceedings of AAAI 2023. [arXiv]
- Xiangzhe Kong, Wenbing Huang, and Yang Liu. 2023. End-to-End Full-Atom Antibody Design. In Proceedings of ICML 2023. [arXiv]
A full list of publications
Systems
OpenChat: Advancing Open-source Language Models with Mixed-Quality Data
[Demo][Paper][GitHub][HuggingFace][Discord]
The OpenChat project aims to develop high-performance, commercially viable, open-source large language models. Our models learn from mixed-quality data without preference labels, delivering exceptional performance on par with ChatGPT on widely-used benchmarks, even with a 7B model that can be run on a consumer GPU (e.g., RTX 3090). As of February 2024, this project has got 4,800+ stars on GitHub.
Recent news:
Teaching
- Spring 2024: Foundations of Programming, Artificial Intelligence
- Fall 2023: Formal Languages and Automata
- Spring 2023: Foundations of Programming, Artificial Intelligence
- Fall 2022: Formal Languages and Automata
- Spring 2022: Foundations of Programming, Artificial Intelligence
- Fall 2021: Formal Languages and Automata, Natural Language Processing
- Spring 2021: Foundations of Programming, Formal Languages and Automata, Artificial Intelligence
- Fall 2020: Natural Language Processing
- Spring 2020: Foundations of Programming, Formal Languages and Automata, Artificial Intelligence
- Fall 2019: Frontiers and Hot Topics in Deep Learning, Natural Language Processing
- Spring 2019: Foundations of Programming, Formal Languages and Automata, Frontiers and Hot Topics in Deep Learning
- Fall 2018: Frontiers and Hot Topics in Deep Learning
- Spring 2018: Foundations of Programming, Formal Languages and Automata, Frontiers and Hot Topics in Deep Learning
- Fall 2017: Computational Linguistics, Information Retrieval, Frontiers and Hot Topics in Deep Learning
- Spring 2017: Foundations of Programming, Frontiers and Hot Topics in Deep Learning
- Fall 2016: Computational Linguistics, Information Retrieval, Frontiers and Hot Topics in Deep Learning
- Spring 2016: Foundations of Programming
- Spring 2015: Foundations of Programming
- Spring 2014: Foundations of Programming
- Spring 2013: Foundations of Programming
Students
Current Members
- Chi Chen, PhD, 2019-present
- Yuanhang Zheng, PhD, 2019-present
- Zonghan Yang, PhD, 2020-present
- Rui Jiao, PhD, 2021-present
- Zhicheng Guo, PhD, 2021-present
- Yuanchi Zhang, Master, 2021-present
- Zeyuan Yang, Master, 2021-present
- Yile Wang, Posdoc, 2022-present
- Xiangzhe Kong, PhD, 2022-present
- Ziyue Wang, PhD, 2022-present
- Xiaolong Wang, PhD, 2022-present
- An Liu, Master, 2022-present
- Jitao Xu, Posdoc, 2023-present
- Sijie Cheng, PhD, 2023-present
- Fuwen Luo, PhD, 2023-present
- Junkai Li, PhD, 2023-present
- Weitao Li, Master, 2023-present
- Xinhui Kang, Master, 2023-present
Alumni
- Kaiyu Huang, Posdoc, 2021-2023
- Shuo Wang, PhD, 2018-2023
- Qinhong Zhou, Master, 2020-2023
- Zhicong Lin, Master, 2021-2023
- Fuchao Wei, PhD, 2016-2023 (co-advised with Prof. Guangwen Yang)
- Zhixing Tan, Posdoc, 2019-2022
- Huimeng Zhang, Master, 2019-2022
- Yizhou Xu, Master, 2019-2022
- Xuancheng Huang, PhD, 2017-2022
- Gang Chen, Master, 2018-2021
- Mieradilijiang Maimaiti, PhD, 2015-2021 (co-advised with Prof. Maosong Sun)
- Jiacheng Zhang, PhD, 2015-2020
- Yanzhuo Ding, Master, 2016-2019
- Meng Zhang, PhD, 2013-2018 (co-advised with Prof. Maosong Sun)
- Abudukelimu Halidanmu, PhD, 2012-2018 (co-advised with Prof. Maosong Sun)
- Shiqi Shen, PhD, 2012-2017 (co-advised with Prof. Maosong Sun)
- Yong Cheng, PhD, 2012-2017 (Tsinghua IIIS, co-advised with Prof. Wei Xu)
- Chunyang Liu, Master, 2013-2016
- Meiping Dong, Master, 2012-2015
- Peng Li, PhD, 2009-2015 (co-advised with Prof. Maosong Sun)
- Henry Loharja, Master, 2012-2014
- Can Wang, Master, 2010-2013 (co-advised with Prof. Maosong Sun)
- Qi Liu, Master, 2010-2013 (co-advised with Prof. Maosong Sun)
- Shengtao Lei, Master, 2009-2012 (co-advised with Prof. Maosong Sun)
- Guosheng Ben (ICT/CAS), Master, 2010-2011
Selected Professional Services
Organizations
- Association for Computational Linguistics:
- ACL Reviewing Committee: Member (2019-2022)
- AACL: Executive Committee Member (2018-2020), Secretary (2018-2020)
- SIGHAN: Information Officer (2013-2022)
- Chinese Information Processing Society:
- Computational Linguistics Technical Committee: Chair (2022-present), Vice Chair (2018-2022), General Secretary (2013-2020), Member (2013-present)
- Youth Working Committee: Chair (2016-2018), Executive Committee Member (2012-2018), Committee Member (2012-2019)
- Chinese Association for Artifical Intelligence:
- Organization Working Committee: General Secretary (2022-present), Vice General Secretary (2020-2022)
Journals
- Computational Linguistics: Editorial Board Member (2018-2020)
- ACM Transactions on Asian and Low-Resource Language Information Processing: Associate Editor (2017-2020)
Conferences
- ACL: Area Chair (2017-2019, 2021), Best Paper Award Committee Member (2018), Local Arrangements Chair (2015), Tutorial Chair (2014), Faculty Advisor of Student Research Workshop (2016)
- EMNLP: Area Chair (2016, 2018-2021), Best Long Paper Award Committee Member (2018)
- AACL: Program Chair (2022), Best Long Paper Award Committee Member (2023)
- IJCAI: Senior Area Chair (2021), Senior PC member (2016, 2018-2020, 2022)
- AAAI: Senior PC member (2019-2020)
Created on 04/03/2004, last updated on 03/07/2024.