Lei Hou

Assistant Professor

Email: houlei@tsinghua.edu.cn

Education Background

Ph.D. of Computer Science and Technology, Tsinghua University, Beijing, China, 2016

Bachelor of Computer Science and Technology, Beijing University of Posts and Telecommunications, Beijing, China, 2010

Visiting Scholar: University of Leuven (Belgium, 2011), National University of Singapore (Singapore, 2014)

Working Experience

2019.7-Present Assistant Professor in Department of Computer Science and Technology, Tsinghua University

2016.7-2019.6 Postdoctoral Researcher in Department of Computer Science and Technology, Tsinghua University

Research Interest

Knowledge Graph, Large Language Model

Research Overview

I have been engaged in the knowledge graph and large language model, serving as a member of the Language and Knowledge Computing Committee of the Chinese Information Society and reviewers of top-tier journal and conferences, such as TKDE, AAAI, ACL, EMNLP, etc. Specifically, I studied the knowledge representation, acquisition, integration and reasoning techniques in the knowledge engineering lifecycle, meanwhile focused on the evaluation and enhancement of knowledge memorization, understanding, application and creation abilities of large language model, and has published over 70 papers in top-tier journal and conferences as first author or corresponding author.

Honors And Awards

ACL 2023 Demo Track Best Paper Award

EMNLP 2023 Outstanding Paper Award

CIKM 2021 Best Resource Paper Nomination

First Prize of Qian Weichang Chinese Information Processing Science and Technology Award (2020)

IEEE Standard 2807 Outstanding Contribution Award (2022)

Academic Achievements

[1]. Jifan Yu, Mengying Lu, Qingyang Zhong, Zijun Yao, Shangqing Tu, Zhengshan Liao, Xiaoya Li, Manli Li, Lei Hou*, Haitao Zheng, Juanzi Li and Jie Tang. MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs. SIGIR 2023, Pages 2924–2934.

[2]. Yushi Bai, Xin Lv, Juanzi Li, Lei Hou*. Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization. ICML 2023, Pages 1472-1491.

[3]. Zijun Yao, Yuanyong Chen, Xin Lv, Shulin Cao, Amy Xin, Jifan Yu, Hailong Jin, Jianjun Xu, Peng Zhang, Lei Hou* and Juanzi Li. VisKoP: Visual Knowledge oriented Programming for Interactive Knowledge Base Question Answering. ACL 2023 Demo, Pages 179–189.

[4]. Yushi Bai, Jiahao Ying, Yixin Cao, Xin Lv, Yuze He, Xiaozhi Wang, Jifan Yu, Kaisheng Zeng, Yijia Xiao, Haozhe Lyu, Jiayin Zhang, Juanzi Li, Lei Hou*. Benchmarking Foundation Models with Language-Model-as-an-Examiner. NeurIPS 2023.

[5]. Shulin Cao, Jiaxin Shi, Liangming Pan, Lunyiu Nie, Yutong Xiang, Lei Hou*, Juanzi Li, Hanwang Zhang, Bin He. KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base. ACL 2022, Pages 6101–6119.

[6]. Shulin Cao, Jiaxin Shi, Zijun Yao, Xin Lv, Jifan Yu, Lei Hou*, Juanzi Li, Zhiyuan Liu, Jinghui Xiao. Program Transfer for Answering Complex Questions over Knowledge Bases. ACL 2022, Pages 8128–8140.

[7]. Yushi Bai, Xin Lv, Juanzi Li, Lei Hou*, Yincen Qu, Zelin Dai and Feiyu Xiong. SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning. EMNLP 2022, Pages 1649–1662.

[8]. Hao Peng, Xiaozhi Wang, Shengding Hu, Hailong Jin, Lei Hou*, Juanzi Li, Zhiyuan Liu and Qun Liu. COPEN: Probing Conceptual Knowledge in Pre-trained Language Models. EMNLP 2022, Pages 5015–5035.

[9]. Xiaozhi Wang, Kaiyue Wen, Zhengyan Zhang, Lei Hou*, Zhiyuan Liu* and Juanzi Li. Finding Skill Neurons in Pre-trained Transformer-based Language Models. EMNLP 2022, Pages 11132–11152.

[10]. Zijun Yao, Chengjiang Li, Tiansi Dong, Xin Lv, Jifan Yu, Lei Hou*, Juanzi Li, Yichi Zhang and Zelin Dai. Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making. ACL-IJCNLP 2021, Pages 2770–2781.

[11]. Ziqi Wang, Xiaozhi Wang, Xu Han, Yankai Lin, Lei Hou*, Zhiyuan Liu, Peng Li, Juanzi Li and Jie Zhou. CLEVE: Contrastive Pre-training for Event Extraction. ACL-IJCNLP 2021, Pages 6283–6297.

[12]. Fangwei Zhu, Shangqing Tu, Jiaxin Shi, Juanzi Li, Lei Hou* and Tong Cui. TWAG: A Topic-Guided Wikipedia Abstract Generator. ACL-IJCNLP 2021, Pages 4623–4635.

[13]. Jiaxin Shi, Shulin Cao, Lei Hou*, Juanzi Li and Hanwang Zhang. TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph. EMNLP 2021, Pages 4149-4158.

[14]. Xin Lv, Yixin Cao, Lei Hou*, Juanzi Li, Zhiyuan Liu, Yichi Zhang and Zelin Dai. Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability. EMNLP 2021, Pages 8899-8911.

[15]. Xin Lv, Xu Han, Lei Hou*, Juanzi Li, Zhiyuan Liu, Wei Zhang, Yichi Zhang, Hao Kong and Suhui Wu. Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph. EMNLP 2020, Pages 5694–5703.

[16]. Jiaxin Shi, Lei Hou*, Juanzi Li, Zhiyuan Liu and Hanwang Zhang. Learning to Embed Sentences Using Attentive Recursive Trees. AAAI 2019, Pages 6991-6998.

[17]. Jiaxin Shi, Chen Liang, Lei Hou*, Juanzi Li, Hanwang Zhang and Zhiyuan Liu. DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization. AAAI 2019, Pages 6999-7006.

[18]. Jifan Yu, Chenyu Wang, Gan Luo, Lei Hou*, Juanzi Li, Jie Tang and Zhiyuan Liu. Course Concept Expansion in MOOCs with External Knowledge and Interactive Game. ACL 2019, Pages 4292–4302.

[19]. Hailong Jin, Lei Hou*, Juanzi Li and Tiansi Dong. Fine-Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks. EMNLP-IJCNLP 2019, Pages 4970-4979.

[20]. Xin Lv, Yuxian Gu, Xu Han, Lei Hou*, Juanzi Li and Zhiyuan Liu. Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations. EMNLP-IJCNLP 2019, Pages 3367-3372.