Lei Shi |
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Professor, PhD Supervisor PhD (2008) MS (2006) BS (2003) |
G1120, New Main Building Contact:
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NEWS |
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[2024-9-26] Two papers accepted by NeurIPS. [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! |
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RESEARCH INTERESTS |
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Data mining, big data visual analytics, artificial intelligence |
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RECENT PAPERS (* = Corresponding Author) |
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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] |
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SELECTED PAPERS |
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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 |
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MAJOR HONORS & AWARDS |
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Last Modified: Jan. 12nd, 2016