• Zhiyuan LIU

• Associate Professor

• Department of Computer Science and Technology

• Joined Department: 2013

• Email: liuzy@tsinghua.edu.cn

• Phone: +86 13810325978

Education background

Bachelor of Computer Science, Tsinghua University, China, 2006.

Ph.D. in Computer Science, Tsinghua University, China, 2011.

Areas of Research Interests

Knowledge Graphs and Semantic Computing, Social Computing and Computational Social Science

Research Status

Engaged in long-term research in the fields of Knowledge Graphs and Semantic Computing, as well as Social Computing and Computational Social Science. Conducted in-depth research and frontier exploration in foundational large-scale model technologies, resulting in numerous innovative achievements. Made breakthroughs in cutting-edge areas such as Natural Language Processing, Knowledge Graphs, and Social Computing. Published over 100 related papers in renowned international journals and conferences in the field of artificial intelligence, including ACL, EMNLP, IJCAI, AAAI. The publications have accumulated over 41,000 citations according to Google Scholar.

Honors And Awards

2023 Higher Education Outstanding Scientific Research Achievement Award (Science and Technology), First Prize in Natural Sciences, Ranked 2nd (2023)

World Artificial Intelligence Conference Young Excellent Paper Award, Project Title: Efficient Fine-tuning of Large-scale Pre-trained Language Models (2023)

Recipient of the 2023 World Internet Conference Leading Science and Technology Award, Achievement Title: Fundamental Methods for Natural Language Deep Learning with Multilevel Multidimensional Knowledge Integration (2023)

"Liu Bing Award" for the 2021-2022 academic year at Tsinghua University (2022)

Inclusion of "Systematic Fundamental Algorithms and Open Source Tools for Large-scale Knowledge Graph Representation Learning" in the World's Leading Internet Technology Achievements (2022)

Frontiers of Computer Science Journal Outstanding Young AE for 2019-2020 (2021)

Outstanding Master's Thesis Advisor at Tsinghua University (Master's Graduate: Zhong Haoxi) (2021)

First Prize for Teaching Achievements at Tsinghua University - Integrated Development of Ideological Guidance, Teaching According to Individual Differences, and Constructing the "Five-Star Plan" Comprehensive Education System (2021)

First Prize for Teaching Achievements at Tsinghua University - "Virtue, Ability, Strictness" Guided and Driven Innovative Training System for Computer Science Ph.D. Students (2021)

Ministry of Education Higher Education Outstanding Scientific Research Achievement Award (Science and Technology), First Prize in Natural Sciences - Structured Knowledge Representation Learning Methods (2020)

Chinese Information Processing Society Scientific and Technological Award/Qian Weichang Chinese Information Processing Science and Technology Award - Key Technologies and Open Source Applications for Large-scale Chinese Vocabulary Semantic Analysis (2020)

National Young Top-notch Talents Program (2020)

Outstanding Academic Paper in China's Top Quality Scientific and Technological Journals (F5000, Paper Title: Research Progress in Knowledge Representation Learning) (2020)

China Science: Information Science 2019 Hot Paper Award (Paper Title: Overview of Network Representation Learning) (2020)

Outstanding Reviewer for the Journal of Tsinghua University (Natural Science Edition) (2020)

AI 2000 Most Influential Global Scholars in Artificial Intelligence (2020)

Advanced Worker at Tsinghua University (2020)

Distinguished Speaker of the China Computer Federation (2019)

Young Scientist at Beijing ZhiiYuan Artificial Intelligence Research Institute (2019)

Excellent Paper Award in China Journalism and Communication Yearbook (Paper Title: Early Automatic Detection of Rumors on Social Media Platforms) (2019)

MIT TR 35 China List (2018)

China Association for Science and Technology Young Talent Lifting Project (2017)

Chinese Information Processing Society-Qian Weichang Chinese Information Processing Science and Technology Award, Youth Innovation First Prize (2016)

Second Prize for Teaching Achievements at Tsinghua University (3rd Contributor out of 5 Applicants) (2016)

CCF-Intel Young Scholar Program (2015)

Second Prize for Teaching Achievements at Tsinghua University (2014)

Outstanding Postdoctoral Fellow at Tsinghua University (2013)

Lin Feng Counselor Award at Tsinghua University (2012)

Outstanding Doctoral Dissertation Award from the Chinese Association for Artificial Intelligence (2012)

First Prize for Teaching Achievements at Tsinghua University (3rd Contributor out of 5 Applicants) (2012)

Outstanding Second Prize for Doctoral Dissertation at Tsinghua University (2011)

Outstanding Individual in the Centennial Celebration of Tsinghua University (2011)

Google China Outstanding Intern Award (2010)

First Prize Scholarship at Tsinghua University (Sohu Scholarship) (2010)

First Prize Scholarship at Tsinghua University (Dongfang Scholarship) (2009)

One-Two-Nine Counselor Award at Tsinghua University (2008)

First Prize Scholarship at Tsinghua University (Dongfang Scholarship) (2008)

Outstanding Graduate of Tsinghua University (2006)

Academic Achievement

[1] Parameter-efficient fine-tuning of large-scale pre-trained language models. Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun. Nature Machine Intelligence, 2023.

[2] Transcription between human-readable synthetic descriptions and machine-executable instructions: an application of the latest pre-training technology. Zheni Zeng, Yi-Chen Nie, Ning Ding, Qian-Jun Ding, Wei-Ting Ye, Cheng Yang, Maosong Sun, E Weinan, Rong Zhu, Zhiyuan Liu. Chemical Science, 2023.

[3] WebCPM: Interactive Web Search for Chinese Long-form Question Answering. Yujia Qin, Zihan Cai, Dian Jin, Lan Yan, Shihao Liang, Kunlun Zhu, Yankai Lin, Xu Han, Ning Ding, Huadong Wang, Ruobing Xie, Fanchao Qi, Zhiyuan Liu, Maosong Sun, Jie Zhou. ACL, 2023.

[4] Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-In. Xinze Li, Zhenghao Liu, Chenyan Xiong, Shi Yu, Yu Gu, Zhiyuan Liu, Ge Yu. ACL, 2023.

[5] Exploring Lottery Prompts for Pre-trained Language Models. Yulin Chen, Ning Ding, Xiaobin Wang, Shengding Hu, Haitao Zheng, Zhiyuan Liu, Pengjun Xie. ACL, 2023.

[6] Parameter-efficient Weight Ensembling Facilitates Task-level Knowledge Transfer. Xingtai Lv, Ning Ding, Yujia Qin, Zhiyuan Liu and Maosong Sun. ACL, 2023.

[7] Plug-and-Play Knowledge Injection for Pre-trained Language Models. Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Huadong Wang, Deming Ye, Chaojun Xiao, Xu Han, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou. ACL, 2023.

[8] READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises. Chenglei Si, Zhengyan Zhang, Yingfa Chen, Xiaozhi Wang, Zhiyuan Liu and Maosong Sun. ACL, 2023.

[9] Decoder Tuning: Efficient Language Understanding as Decoding. Ganqu Cui, Wentao Li, Ning Ding, Longtao Huang, Zhiyuan Liu, Maosong Sun. ACL, 2023.

[10] A Close Look into the Calibration of Pre-trained Language Models. Yangyi Chen, Lifan Yuan, Ganqu Cui, Zhiyuan Liu, Heng Ji. ACL, 2023.

[11] KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation. Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhengyan Zhang, Zhiyuan Liu, Juanzi Li, Jian Tang. ACL, 2021.

[12] Graph Neural Networks: A Review of Methods and Applications. Jie Zhou, Ganqu Cui, Shengding Hu, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun. AI Open, 2020.

[13] Neural Relation Extraction with Selective Attention over Instances. Yankai Lin, Shiqi Shen, Zhiyuan Liu, Huanbo Luan, Maosong Sun. ACL, 2016.

[14] ERNIE: Enhanced Language Representation with Informative Entities. Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, Qun Liu. ACL, 2019.

[15] Learning Entity and Relation Embeddings for Knowledge Graph Completion Ziyue Qiao, Zhiyuan Ning, Yi Du, Yuanchun Zhou. AAAI, 2015.

[16] Network Representation Learning with Rich Text Information. Cheng Yang, Zhiyuan Liu, Deli Zhao, Maosong Sun, Edward Y. Chang. IJCAI, 2015.