Lei Shi

中文简介 | students | pubs |tools

Professor, PhD Supervisor
ACT and BDBC
School of Computer Science and Engineering
Beihang University

PhD (2008) MS (2006) BS (2003)
Department of Computer Science and Technology
Tsinghua University
Curriculum Vitae [PDF] [Bio]

G1120, New Main Building
Beihang University
No.37, Xueyuan Road
Haidian District
Beijing 100191, P.R.China

Contact:
leishi At buaa.edu.cn
leishi At act.buaa.edu.cn
Tel: (8610)8233-9164

NEWS

[2025-09-19] Five papers accepted by ICML'25, VLDB'25, EMNLP'25, NeurIPS'25, and TVCG.

[2025-02-01] Two papers accepted by ICLR'25 and AAAI'25.

[2025-01-02] GeneticFlow 2.0 is online! Download the visual profile of 200,000 CS top scholars with one-click.

[2024-09-26] Two papers accepted by NeurIPS'24.

[2023-12-10] Three papers accepted by AAAI'24 and FITEE.

[2023-09-22] GeneticFlow is online!! See our KDD'23/VIS'23/NeurIPS'23 papers for details.

[2023-09-22] Two papers accepted by NeurIPS'23!

[2023-06-15] Three papers accepted by KDD'23 and VIS'23!

[2021-07-01] Papers accepted by TVCG and HCIS.

[2020-06-20] Serve program co-chair of ChinaVis'20, young associate editor of Frontier of Computer Science, Visual Informatics, and guest editor of Journal of Visualization.

[2020-04-25] Papers accepted by TVCG and CHI'20.

[2012~] I’m hiring master, phd, intern students, and postdoctoral associates at ACT@BUAA regularly, to conduct research in the exciting interdisciplinary area of AI for science, visual data/model analytics, and data mining, do not hesitate to send me EMAIL!

read more…

RESEARCH INTERESTS

AI for science, visual data/model analytics, and data mining

RECENT PAPERS (* = Corresponding Author)

·        Yi Yang, Zhimeng Liu, Weize Wu, Yuyang Zhang, Hongbo Zhang, Jing Lin, Siyu Wu, Zihan Chen, Ye Sun, Ruiming Li, Nan Wang, Rui Wang, Zipeng Liu, Huobin Tan, Hongyi Gao, Lei Shi^*, Yue Zhang^*, and Ge Wang^*, “MaterialBrain: High-Performance Material Synthesis Extraction via Human-AI-Curated Few-Shot Large Language Models”, Journal of Chemical Information and Modeling (SCI Q1), 2026. [pdf][ppt]

·        Shuochen Li, Xiangqi Guo, Huobin Tan^* and Lei Shi^*, “MoE-Guided Graph Diffusion for Oriented Molecule Design”, AAAI, 2026. [pdf][ppt]

·        Ye Sun, Zipeng Liu, Yuankai Luo, Lei Xia and Lei Shi^*, “GeneticPrism: Multifaceted Visualization of Citation-based Scholarly Research Evolution”, IEEE Transactions on Visualization and Computer Graphics, 2025. [pdf][ppt][web][video]

·        Ye Sun, Lei Shi^*, and Yongxin Tong, “eXpath: Explaining Knowledge Graph Link Prediction with Ontological Closed Path Rules”, VLDB, 2025. [pdf][ppt]

·        Zihan Chen, Lei Shi^*, Weize Wu, Qiji Zhou, and Yue Zhang, “ALLabel: Three-stage Active Learning for LLM-based Entity Recognition using Demonstration Retrieval”, EMNLP (Main Conf.), 2025. [pdf][ppt]

·        Yuankai Luo, Lei Shi^*, and Xiao-Ming Wu^*, “Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence”, ICML, 2025. [pdf][ppt]

·        Yuankai Luo, Hongkang Li, Qijiong Liu, Lei Shi^*, and Xiao-Ming Wu^*, “Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning”, ICLR, 2025. [pdf][ppt]

·        Yuankai Luo, Hongkang Li, Lei Shi^*, and Xiao-Ming Wu^*, “Enhancing Graph Transformers with Hierarchical Distance Structural Encoding”, NeurIPS, 2024. [pdf][ppt]

·        Yuankai Luo, Lei Shi^*, and Xiao-Ming Wu^*, “Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification”, NeurIPS, 2024. [pdf][ppt]

·        Yuwen Ji, Lei Shi^*, Zhimeng Liu, Ge Wang, “Stratified GNN Explanations through Sufficient Expansion”, AAAI, 2024. [pdf][ppt]

·        Huijie Guo, Ying Ba, Jie Hu, Lingyu Si, Wenwen Qiang^*, Lei Shi^*, “Self-Supervised Representation Learning with Meta Comprehensive Regularization”, AAAI, 2024. [pdf][ppt]

·        Yuankai Luo, Lei Shi^*, Mufan Xu, Yuwen Ji, Fengli Xiao, Chunming Hu, Zhiguang Shan^*,“Impact-Oriented Contextual Scholar Profiling using Self-Citation Graphs”, KDD, 2023. [pdf][ppt][data][system]

·        Fengli Xiao and Lei Shi^*, “GeneticFlow: Exploring Scholar Impact with Interactive Visualization ”, IEEE VIS (short paper), 2023. [pdf][video][ppt][system]

·        Lei Shi, Lei Xia, Zipeng Liu, Ye Sun, Huijie Guo and Klaus Mueller,“How "Applied" is Fifteen Years of VAST conference?”, IEEE VIS (short paper), 2023. [pdf][ppt][data]

·        Yuankai Luo, Veronika Thost^*, and Lei Shi^*, “Transformers over Directed Acyclic Graphs”, NeurIPS, 2023. [pdf][ppt]

·        Yuankai Luo, Lei Shi^*, and Veronika Thost, “Improving Self-supervised Molecular Representation Learning using Persistent Homology”, NeurIPS, 2023. [pdf][ppt]

·        Lei Shi, Yuankai Luo, Shuai Ma, Hanghang Tong, Zhetao Li, Xiatian Zhang, and Zhiguang Shan, “Mobility Inference on Long-Tailed Sparse Trajectory”, ACM Transactions on Intelligent Systems and Technology (SCI Q1, IF=10.5), 2022. [pdf]

·        Lei Shi, Junnan Hu, Zhihao Tan, Jun Tao, Jiayan Ding, Yan Jin, Yanjun Wu and Paul Thompson, “MV²Net: Multi-Variate Multi-View Brain Network Comparison over Uncertain Data”, IEEE Transactions on Visualization and Computer Graphics, 2022 (selected for presentation at IEEE VIS'22). [pdf][ppt][appendix][video]

SELECTED PAPERS

Complete | Google | DBLP

·        Yucheng Huang, Lei Shi^*, Yue Su, Yifan Hu, Hanghang Tong, Chaoli Wang, Tong Yang, Deyun Wang, and Shuo Liang, “Eiffel: Evolutionary Flow Map for Influence Graph Visualization”, IEEE Transactions on Visualization and Computer Graphics, 2019 (selected for presentation at IEEE VIS'19). [pdf][ppt][appendix][video]

·        Lei Shi, Zhiyang Teng, Le Wang, Yue Zhang, and Alexander Binder, “ DeepClue: Visual Interpretation of Text-based Deep Stock Prediction”, IEEE Transactions on Knowledge and Data Engineering, 2018. [pdf][appendix][video]

·        Lei Shi, Hanghang Tong, Jie Tang and Chuang Lin, “ VEGAS: Visual influEnce GrAph Summarization on Citation Networks”, IEEE Transactions on Knowledge and Data Engineering, 2015.[pdf][video]

·        Lei Shi, Chen Wang, Zhen Wen, Huamin Qu, Chuang Lin and Qi Liao, “1.5D Egocentric Dynamic Network Visualization”, IEEE Transactions on Visualization and Computer Graphics, 2015. [pdf]

·        Lei Shi, Qi Liao, Xiaohua Sun, Yarui Chen and Chuang Lin, “Scalable Network Traffic Visualization Using Compressed Graphs”, IEEE International Conference on Big Data, 2013.[pdf]

·        Qinying Liao and Lei Shi^*, “She Gets a Sports Car from Our Donation: Rumor Transmission in a Chinese Microblogging Community”, ACM CSCW 2013. [pdf][ppt][blog]

·        Lei Shi, Qi Liao, Yuan He, Rui Li, Aaron Striegel and Zhong Su, “SAVE: Sensor Anomaly Visualization Engine”, IEEE Conference on Visual Analytics Science and Technology (part of IEEE VIS), October 2011. [pdf] [ppt] [video]

·        Lei Shi, Furu Wei, Shixia Liu, Li Tan, Xiaoxiao Lian and Michelle Zhou, “Understanding Text Corpora with Multiple Facets”, IEEE Conference on Visual Analytics Science and Technology (part of IEEE VIS), October 2010. [pdf] [ppt] [video]

·        Lei Shi, Bin Liu, Changhua Sun, Zhengyu Yin, Laxmi Bhuyan and H. Jonathan Chao, “Load-Balancing Multi-Path Switching System with Flow-Slice”, IEEE Transactions on Computers, 61(3):350-365, 2012. [pdf]

·        Chuanxiong Guo, Haitao Wu, Kun Tan, Lei Shi, Yongguang Zhang and Songwu Lu, “DCell: A Scalable and Fault-Tolerant Network Structure for Data Centers”, ACM SIGCOMM, August 2008. [pdf]

MAJOR HONORS & AWARDS

1. First Class Award, Technological Invention Award, China Computer Federation (CCF), 2022
2. Second Prize, Lu ZengYong CAD&CG High-Tech Award, 2020
3. Distinguished Youth Scholars, Institute of Software, Chinese Academy of Sciences, 2017
4. Member of CAS Youth Innovation Promotion Association, Chinese Academy of Sciences, 2016
5. Excellent Young Scholars, Institute of Software, Chinese Academy of Sciences, 2013
6. IEEE VAST Challenge Award for "Good Adaptation of Graph Analysis Techniques", 2012
7. IBM Research Division Award for "Smallblue Contribution to GBS" (service-type), 2010
8. IBM Research Division Award for "Visual Analytics" (science-type) , 2010
9. IEEE VAST Challenge Award for "Effective Interactive Visualization for Document Content", 2010
10. Outstanding Ph.D. Graduate, Department of Computer Science, Tsinghua University, 2008
11. Top-class Jiang Nanxiang scholarship, Tsinghua University, 2007
12. Beijing Merit Student, 2006
13. Best paper award, Ph. D. forum, Department of Computer Science, Tsinghua University, 2006