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个人简介

时磊,现任大数据科学与脑机智能高精尖创新中心教授。2003、2008年毕业于清华大学计算机系,获工学学士、博士学位,其博士学位论文获清华大学计算机系优秀博士论文。曾任中科院软件所计算机科学国家重点实验室研究员、IBM中国研究院可视分析组研究经理。博士及工作期间获全额资助在美国圣母大学、纽约大学、亚利桑那州立大学、IBM华生研究院、AT&T香农实验室、Yahoo实验室、国立台湾清华大学、微软亚洲研究院等著名研究机构学术访问十余次。主要研究方向为可视分析与数据挖掘。曾在IEEE TVCG, TKDE, VIS, ICDE, Infocom, ACM TKDD, Sigcomm, CSCW, PIEEE等国际顶尖会议及期刊上发表80余篇研究论文或图书章节,Google Scholar显示论文总引用2000余次。四次荣获IEEE可视分析大会挑战赛优胜奖及IBM研究机构可视分析贡献奖。现为IEEE高级会员,任VIS、KDD、IJCAI、AAAI、WSDM、PacificVis、GD等高水平国际会议程序委员会委员,IEEE ICDM、ACM CIKM等大会附属研讨会论文主席,电子学报英文版、IJSI可视分析专刊特邀编委。主持或作为骨干参加自然科学基金、973等国家项目。2019年度入选北京航空航天大学青年拔尖人才支持计划。 教育经历 2003.9~2008.7 清华大学 计算机科学与技术 工学博士学位 博士研究生毕业 2003.9~2006.7 清华大学 计算机科学与技术 工学硕士学位 硕士毕业 1999.9~2003.7 清华大学 计算机科学与技术 工学学士学位 大学本科毕业 工作经历 2008.7~2012.4 IBM中国研究院 研究员、研究经理 2012.4~2018.12 中国科学院软件研究所 副研究员、研究员

研究领域

数据挖掘、数据可视化、人工智能

近期论文

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RECENT PAPERS (* = Corresponding Author) 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. Fengli Xiao and Lei Shi*, “GeneticFlow: Exploring Scholar Impact with Interactive Visualization ”, IEEE VIS (short paper), 2023. 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. Book Chapter Lei Shi, Yifan Hu and Qi Liao,“Big Data Visualization for Large Complex Networks”, in Big Data of Complex Networks, eds. Matthias Dehmer, Frank Emmert-Streib, Stefan Pickl and Andreas Holzinger, Chapman & Hall/CRC Big Data Series, CRC Press, August 2016. Journal/Conference Regular Papers 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, accepted (selected for presentation at IEEE VIS'22). [pdf][ppt][appendix][video] 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), accepted. [pdf] 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, accepted (selected for presentation at IEEE VIS'20). [pdf][ppt][appendix][video] Lei Shi, Zhichun Guo, Tao Jiang, Ruiyu Fang, Yang Chen, Ye Zhao, Xiatian Zhang and Min Dai, “Visual Analysis of Steady-State Human Mobility in Cities”, Human-centric Computing and Information Sciences (SCI Q1, IF=5.9), 2021. [pdf][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] 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, accepted (selected for presentation at IEEE VIS'19). [pdf][ppt][appendix][video] Jia Yan, Lei Shi*, Jun Tao, Xiaolong Yu, Zhou Zhuang, Congcong Huang, Rulei Yu, Purui Su, Chaoli Wang, and Yang Chen, “Visual Analysis of Collective Anomalies Through Faceted High-Order Correlation Graph”, IEEE Transactions on Visualization and Computer Graphics, accepted. [pdf][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, accepted. [pdf][appendix][video] Yifan Hu, Lei Shi* and Qingsong Liu, “A Coloring Algorithm for Disambiguating Graph and Map Drawings”, IEEE Transactions on Visualization and Computer Graphics, 2019.[pdf] Meng Xia, Huan Wei, Mingfei Sun, Qing Chen, Yong Wang, Lei Shi, Xiaojuan Ma, and Huamin Qu, “PeerLens: Peer-inspired Interactive Learning Path Planning in Online Question Pool”, CHI, 2019. [pdf] Tong Yang, Dongsheng Yang, Jie Jiang, Siang Gao, Bin Cui, Lei Shi and Xiaoming Li, “Coloring Embedder: a Memory Efficient Data Structure for Answering Multi-set Query”, ICDE, 2019. [pdf] Tong Yang, Junzhi Gong, Haowei Zhang, Lei Zou, Lei Shi and Xiaoming Li, “HeavyGuardian: Separate and Guard Hot Items in Data Streams”, KDD, 2018. [pdf] Jun Tao, Lei Shi*, Zhou Zhuang, Congcong Huang, Rulei Yu, Purui Su, Chaoli Wang and Yang Chen, “Visual Analysis of Collective Anomalies Through High-Order Correlation Graph”, IEEE Pacific Visualization Symposium, 2018.[pdf][ppt][video][demo] Jun Tao, Chaoli Wang, Nitesh V. Chawla, Lei Shi and Seung Hyun Kim, “Semantic Flow Graph: A Framework for Discovering Object Relationships in Flow Fields”, IEEE Transactions on Visualization and Computer Graphics, accepted.[pdf] Lei Shi, Hanghang Tong, Madelaine Daianu, Feng Tian and Paul Thompson“Visual Analysis of Brain Networks using Sparse Regression Models”, ACM Transactions on Knowledge Discovery from Data, 2018.[pdf] Xinsong Yang, Lei Shi*, Madelaine Daianu, Hanghang Tong, Qingsong Liu, and Paul Thompson, “Blockwise Human Brain Network Visual Comparison Using NodeTrix Representation”, IEEE Transactions on Visualization and Computer Graphics (IEEE VIS/IEEE Visual Analytics Science and Technology 2016), 2017.[pdf][ppt] Lei Shi, Sibai Sun, Yuan Xuan, Yue Su, Hanghang Tong, Shuai Ma, and Yang Chen, “TOPIC: Toward Perfect Influence Graph Summarization”, to appear in IEEE International Conference on Data Engineering (ICDE), 2016. [pdf] Lei Shi, Hanghang Tong and Xinzhu Mu, “BrainQuest: Perception-Guided Brain Network Comparison”, IEEE International Conference on Data Mining (ICDM), 2015. [pdf][ppt][video][project] Qingsong Liu, Yifan Hu, Lei Shi*, Xinzhu Mu, Yutao Zhang and Jie Tang, EgoNetCloud: Event-based Dynamic Egocentric Network Visualization, IEEE VIS (VAST conference track), 2015. [pdf][project] Lei Shi, Hanghang Tong, Jie Tang and Chuang Lin, “ VEGAS: Visual influEnce GrAph Summarization on Citation Networks”, IEEE Transactions on Knowledge and Data Engineering, 27(12):3417-3431, 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, 21(5): 624-637, 2015.[pdf] Lei Shi, Hanghang Tong, Jie Tang and Chuang Lin, “Flow-based Influence Graph Visual Summarization”, IEEE International Conference on Data Mining (ICDM), 2014.[pdf] Yifan Hu and Lei Shi, “A Coloring Algorithm for Disambiguating Graph and Map Drawings”, International Symposium on Graph Drawing (GD), 2014. [pdf] Weishan Dong, Renjie Yao, Chunyang Ma, Changsheng Li, Lei Shi, Lu Wang, Yu Wang, Peng Gao, Junchi Yan, “Maximizing Multi-scale Spatial Statistical Discrepancy”, ACM CIKM, 2014. [pdf] Lei Shi, Qi Liao, Hanghang Tong, Yifan Hu, Yue Zhao and Chuang Lin, “Hierarchical Focus+Context Heterogeneous Network Visualization”, IEEE Pacific Visualization Symposium, 2014. [pdf] [ppt][video] Tao Zhang, Qi Liao, Lei Shi and Weishan Dong. “Analyze Spatiotemporal Anomalies through Interactive Visualization”, accepted by Informatics, special issue on Interactive Visualizations: Design, Technologies, and Applications, 2014. 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] Lei Shi, Qi Liao and Chuang Lin, “Survey on Transformation-based Large Graph Visualization”(in Chinese), Journal of Computer-Aided Design & Computer Graphics, 25(3):304-311, 2013. [pdf] Qi Liao, Lei Shi and Chen Wang, “Visual Analysis of Large-Scale Network Anomalies”, IBM Journal of Research and Development, 57(3/4): 13:1-13:12, 2013. (Corresponding Author) [pdf] Qinying Liao and Lei Shi, “She Gets a Sports Car from Our Donation: Rumor Transmission in a Chinese Microblogging Community”, ACM CSCW 2013. (Corresponding Author) [pdf] [blog] Lei Shi, Qi Liao and Chunxin Yang, “Investigating Network Traffic Through Compressed Graph Visualization”, IEEE VAST Challenge 2012 Award Entry, 2012. [pdf] [video] Weishan Dong, Wei Fan, Lei Shi, Changjin Zhou and Xifeng Yan, “A General Framework to Encode Heterogeneous Information Sources for Contextual Pattern Mining”, ACM CIKM 2012. [pdf] Ching-yung Lin, Hanghang Tong, Zhen Wen, Lynn Wu, Vicky Griffiths-Fisher, Lei Shi, and David Lubensky, “Social Network Analytics in Enterprise,” Proceedings of the IEEE, 100(9):2759-2776, 2012. [pdf] Dongxu Duan, Weihong Qian, Shimei Pan, Lei Shi and Chuang Lin, “VISA: VIsual Sentiment Analysis System,” VINCI 2012. (Corresponding Author) [pdf] [ppt] [video] 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 (VAST), 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 (VAST), October 2010. [pdf] [ppt] [video] Lei Shi, Weihong Qian and Furu Wei, “VisWorks Network and Text Visual Analytics”, IEEE VAST Challenge 2010 Award Entry, October 2010. [pdf] [ppt] [video] Lei Shi, Chen Wang, Zhen Wen, “Dynamic Network Visualization in 1.5D”, IEEE Pacific Visualization Symposium, March 2011. [pdf] [ppt] Lei Shi, Nan Cao, Shixia Liu, Weihong Qian, Li Tan, Guodong Wang, Jimeng Sun and Ching-Yung Lin, “HiMap: Adaptive Visualization of Large-Scale Online Social Networks”, IEEE Pacific Visualization Symposium, March 2009. [pdf] [ppt] [video] Weishan Dong, Xin Zhang, Li Li, Changhua Sun, Lei Shi and Wei Sun, “Detecting Irregularly Shaped Significant Spatial and Spatio-Temporal Clusters”, SIAM Intl. Conf. on Data Mining (SDM), 2012. Furu Wei, Shixia Liu, Yangqiu Song, Shimie Pan, Michelle X. Zhou, Weihong Qian, Lei Shi, Li Tan, Qiang Zhang, “TIARA: A Visual Exploratory Text Analytic System”, ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, Industry Track, July 2010. Furu Wei, Lei Shi, Li Tan, Xiaohua Sun, Xiaoxiao Lian, Shixia Liu and Michelle Zhou, “Visual Content Correlation Analysis”, IUI Workshop on Interactive Text Analytics, 2010. Chen Wang, Yibo Zhang, Xiaohan Chen, Ziyu Zhu, Lei Shi, Guang Chen, Chun Ying and Wei Lu, “SpamWatcher: A Behavior based SMS Anti-spam System”, IBM Journal of Research and Development, 2010. 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] 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] Lei Shi, Yue Zhang, Jianming Yu, Bo Xu, Bin Liu and Jun Li, “On the Extreme Parallelism inside Next-Generation Network Processors”, IEEE Annual Conference on Computer Communication (INFOCOM), Anchorage, USA, May 2007. Lei Shi, Bin Liu, Wenjie Li, Beibei Wu and Yunhao Liu, “DS-PPS: A Practical Framework to Guarantee Differentiated QoS in Terabit Routers with Parallel Packet Switch”, IEEE Annual Conference on Computer Communication (INFOCOM), Barcelona, Spain, April 2006. Lei Shi, Changbin Liu and Bin Liu, “Network Utility Maximization for Triple-Play Services”, Elsevier Computer Communications, 31(10):2257-2269, 2008. [pdf] Lei Shi, Wenjie Li and Bin Liu, “Flow-based Packet-mode Load-balancing for Parallel Packet Switches”, Journal of High Speed Networks, 2010. Lei Shi, Mohammad Banikazemi, and Qingbo Wang, “Iceberg: An Image Streamer for Provisioning Virtual Machines”, ICPP workshop on Scheduling and Resource Management for Parallel and Distributed Systems, 2008. Lei Shi, Gao Xia and Bin Liu, “Performance Guarantees for Flow-Mapping Parallel Packet Switch”, IEEE International Performance Computing and Communication Conference (IPCCC), New Orleans, USA, April 2007. Lei Shi, Wenjie Li, Bin Liu and Xiaojun Wang, “Flow mapping in the load balancing parallel packet switches”, IEEE Workshop on High Performance Switching and Routing (HPSR), Hong Kong, China, May 2005. Yue Zhang, Lei Shi, Jiani Guo, Bin Liu and Laxmi Bhuyan, “Quantum-Adaptive Scheduling in Multi-Core Network Processors”, IEEE Intl. Conf. on Distributed Computing Systems (ICDCS), 2008. Changhua Sun, Lei Shi, Bin Liu, “Efficient and Low-Cost Hardware Defense Against DNS Amplification Attacks”, IEEE GLOBECOM, New Orleans, LA, USA, December 2008. Wenjie Li, Bin Liu, Lei Shi, Xu Yang and Dapeng Wu, “Preemptive packet-mode scheduling to improve TCP performance”, IEEE Workshop on Quality of Service (IWQoS), Passau, Germany, June 2005. Changbin Liu, Lei Shi and Bin Liu, “Utility-based Bandwidth Allocation for Triple-Play Services”, European Conference on Universal and Multiservice Networks (ECUMN), Toulouse, France, Feb. 2007. Changhua Sun, Lei Shi, Chengchen Hu and Bin Liu, “DRR-SFF: A Practical Scheduling Approach to Improve the Performance of Short Flows”, International Conference on Networking and Services (ICNS), Athens, Greece, June 2007. Wenjie Li, Lei Shi, Yang Xu and Bin Liu, "Efficient Approach to Merge and Segment IP Packets," ICCNMC, August 2005. Conference Notes, Demos, Posters, Challenge Entries Jiao Sun, Qixin Zhu, Zhifei Liu, Xin Liu, Yueming Wang, Jihae Lee, Shengdong Yang, Lei Shi, Ling Huang, and Wei Xu (2018). FraudVis: Understanding Unsupervised Fraud Detection Algorithms. In IEEE Pacific Visualization Symposium (Visualization Notes). Zhou Zhuang, Yan Jin, Hanghang Tong, Lei Shi, Yang Chen, and Paul Thompson (2017). Path-embedded structural human brain network generation and classification on Alzheimer's disease. In Annual Meeting of The Organization for Human Brain Mapping (OHBM) (Poster Paper). 2016 Yuan Xuan, Yang Chen, Huiying Li, Pan Hui, and Lei Shi (2016). LBSNShield: Malicious Account Detection in Location-Based Social Networks. In ACM conference on Computer-Supported Cooperative Work and Social Computing (CSCW) (Poster Paper). Fangzhou Guo, Junhua Lu, FeiranWu, Tianye Zhang,Wei Chen, Lei Shi, and Huaming Qu (2016). Information-Theoretic Visual Exploration of Multivariate Sensor Time-series with A Time-Correlation Partitioning Tree. In IEEE Conference on Information Visualization (InfoVis) (Poster Paper). Jun Tao, Chaoli Wang, Nitesh Chawla, and Lei Shi (2016). Semantic Flow Graph: A Framework to Explore 3D Flow Fields. In IEEE Conference on Scientific Visualization (SciVis) (Poster Paper). Tao Jiang, Lei Shi, Ye Zhao, Xiatian Zhang, and Yao Lu (2016). Visual Comparison of Customer Stickiness in Retail Stores. In International Workshop on DAta mining meets Visual Analytics at big data era (DAVA), in conjunction with CIKM'16. Le Wang, Yue Zhang, and Lei Shi. Hyperbolic Dependency Tree Visualization for Parser Evaluation. in IEEE Conference on Information Visualization (InfoVis, part of IEEE VIS), 2015 (Poster Paper). Yue Su, Sibai Sun, Yuan Xuan, and Lei Shi. Influence Visualization of Scientific Paper Through Flow-based Citation Network Summarization. in IEEE ICDM 2015 (Demo Paper). Le Wang, Jiangtao Gong and Lei Shi. OLAP Visual Analytics on Large Software Call Graphs with Hierarchical ChordMap. in International Workshop on DAta mining meets Visual Analytics at big data era (DAVA), in conjunction with ICDM'15. Lei Shi and Hanghang Tong, “Visual Network Analysis in Big Data Era”, in Communications of CCF, Sept. 2014. [pdf] Tao Zhang, Qi Liao and Lei Shi. Bridging the gap of network management and anomaly detection through interactive visualization. in IEEE Pacific Visualization Symposium, 2014 (Visualization Notes). Lei Shi, Qi Liao, Xiaohua Sun, Yarui Chen, and Chuang Lin. "Visualize large-scale networks with structural equivalence", in 4th Visualization Workshop, poster paper, Beijing, China, July 2013. Tao Zhang, Qi Liao, Lei Shi, and Weishan Dong. “Spatiotemporal anomaly visualization for large-scale dynamic networks,” in 4th Visualization Workshop, poster paper, Beijing, China, July 2013. Tao Zhang, Qi Liao and Lei Shi. “Generic Anomaly Visualization for Daily Network Security Administration,” IEEE VAST Challenge Entry, 2013. Qi Liao, Lei Shi and Xiaohua Sun, “Anomaly Analysis and Visualization through Compressed Graphs,” in VisWeek LDAV '12, Poster Paper. Tao Zhang, Qi Liao and Lei Shi. “3D anomaly bar visualization for large-scale network,” IEEE VAST Challenge Entry, 2012. Qi Liao, Lei Shi, Yuan He, Rui Li, Zhong Su, Aaron Striegel and Yunhao Liu, “Visualizing Anomalies in Sensor Networks,” ACM SIGCOMM, Demo Abstract, 2011. Qi Liao, Lei Shi, Wei Hong Qian and Zhong Su, “Network Security and Anomaly Visualization,” IEEE VAST Challenge Entry, 2011. Changhua Sun, Weidong Shan, Peter Bak, Lei Shi, Harriet Cao and Zhong Su, “IBM STEM: Geo-Spatial Temporal Visual Analytics,” IEEE VAST Challenge Entry, 2011. Qi Liao, Lei Shi, Yuan He, Zhong Su and Aaron Striegel. “Spatiotemporal Visual Analysis of Sensor Networks in the Wild,” poster in IEEE Pacific Visualization Symposium, Hong Kong, March 2011. Lei Shi, Chen Wang and Zhen Wen, “Dynamic Network Visualization in 1.5D,” poster in IEEE Conference on Information Visualization (InfoVis), 2010. Shixia Liu, Yangqiu Song, Furu Wei, Shimie Pan, Michelle X. Zhou, Weihong Qian, Lei Shi, Li Tan, Qiang Zhang, “TIARA: Visually Analyzing Topic Evolution in Large Text Collections,” ACM SIGKDD, Demo Abstract, 2010. Sreeram Balakrishnan, Vivian Chu, Mauricio Hernandez, Howard Ho, Rajasekar Krishnamurthy, Shixia Liu, Jan Pieper, Jeffrey Pierce, Lucian Popa, Christine Robson, Lei Shi, Shivakumar Vaithyanathan, Huahai Yang, “Midas: Integrating Public Financial Data,” ACM SIGMOD, Demo Paper, 2010. Lei Shi, Bin Liu, Changhua Sun, Zhengyu Yin, Laxmi Bhuyan and H-J. Chao, “Flow-Slice: A Novel Load-Balancing Scheme for Multi-Path Switching Systems,” poster in ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS), Orlando, USA, December 2007. Guodong Wang, Yang Chen, Lei Shi, Eng Keong Lua, Beixing Deng, Xing Li, “Proxima: Towards Lightweight and Flexible Anycast Service,” poster in IEEE Annual Conference on Computer Communication (INFOCOM), Rio de Janeiro, Brazil, April 2009. Changhua Sun, Jindou Fan, Lei Shi and Bin Liu, “A novel router-based scheme to mitigate SYN flooding DDoS Attacks,” poster in IEEE Annual Conference on Computer Communication (INFOCOM), Anchorage, USA, May 2007.

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