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

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

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

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

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

[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.

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

read more…

RESEARCH INTERESTS

Data mining, big data visual analytics, artificial intelligence

RECENT PAPERS (* = Corresponding Author)

·        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]

·        Lei Shi, Congcong Huang, Meijun Liu, Jia Yan, Tao Jiang, Zhihao Tan, Yifan Hu, Wei Chen and Xiatian Zhang, “UrbanMotion: Visual Analysis of Metropolitan-Scale Sparse Trajectories”, IEEE Transactions on Visualization and Computer Graphics, 2020 (selected for presentation at IEEE VIS'20). [pdf][ppt][appendix][video]

·        Jiao Sun, Yin Li, Charley Chen, Jiahe Lee, Xin Liu, Zhongping Zhang, Ling Huang, Lei Shi^*, Wei Xu^*, “FDHelper: Assist Unsupervised Fraud Detection Experts with Interactive Feature Selection and Evaluation”, CHI, 2020. [pdf]

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]

RESEARCH FUNDINGS

1. 2022.01-2025.12 (PI), National Key R&D Program of China, “Big data platform for science ” (RMB 4,032,500)
2. 2022.01-2025.12 (PI), National Natural Science Fund of China, “Visual analysis of scientific influence and its evolution” (Grant #: 62172026, RMB 600,000)
3. 2019.01-2022.12 (PI), BUAA Fund for Top Youth Scholars, “Visual analysis of big networks” (RMB 450,000)
4. 2020.01-2021.12 (PI), BUAA-TalkingData Joint Research Program, “Visual Analysis of Urban Big Data” (RMB 250,000)
5. 2018.01-2021.12 (PI), National Natural Science Fund of China, “Visual analysis of multi-level macroscopic brain networks” (Grant #: 61772504, RMB 630,000)
6. 2017.01-2021.12 (PI), Institute of Software, Chinese Academy of Sciences, “ISCAS Fund for Distinguished Youth Scholars” (RMB 1,650,000)
7. 2016.01-2019.12 (PI), Chinese Academy of Sciences, “Member of the CAS Youth Innovation Promotion Association” (RMB 700,000)
8. 2014.01-2017.12 (PI), National Natural Science Fund of China, “Role-based model and method for big graph visual analytics” (Grant #: 61379088, RMB 770,000)
9. 2014.01-2018.10 (Key Investigator, with Prof. Yi-dong Shen and Prof. Hang Li), National Basic Research Program of China (973 Program), “Representation, Similarity Measurement and Semantic Comprehension of the Internet Big Data” (Grant #: 2014CB340301, RMB 3,730,000)
10. 2012.04-2014.04 (PI), Start-up Funding of the State Key Laboratory of Computer Science, “Big data visual analytics” (Grant #: 2004DA173035, RMB 150,000)

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