Lei Shi

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Associate Professor
State Key Laboratory of Computer Science
Institute of Software
Chinese Academy of Sciences

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

Institute of Software
Chinese Academy of Sciences
P.O.Box 8718
Beijing 100190 P.R.China

 

Contact:
shil (at) ios (dot) ac (dot) cn
Tel: (8610)6266-1603

 

 

NEWS


[2017-3-1] Brain network mining papers accepted to ACM TKDD and OHBM'17.

[2016-12-15] CJE Special Issue on Visual Analytics Call for Paper.

[2016-09-09] Hosting UCAS course on Information Visualization , Fall 2016!

[2016-07-12] BrainNodeTrix paper accepted to IEEE VIS'16 (VAST TVCG track).

[2016-06-20] Co-chairing ACM CIKM’16 workshop on DAta mining meets Visual Analytics at Big Data Era (DAVA’16), to be held on Oct. 28, 2016, Indianapolis, USA.

[2016-04-22] Elected as a Member of CCF TC-CADCG.

[2016-04-21] Co-chairing ACM BCB’16 workshop on Data Mining and Visualization for Brain Science (BrainKDD’16), to be held on Oct. 2, 2016, Seattle, USA.

[2016-02-24] Elected as an IEEE Senior Member.

[2016-01-21] Visit Dr. Paul Thompson's Lab at USC and give a talk.

[2015-12-31] Serve program committee member of KDD’16, IJCAI’16, ASONAM’16.

[2015-12-20] TOPIC paper accepted to IEEE ICDE’16 (full research paper).

[2015-11-04] Serve program committee member of PacificVis’16, GD’16, ICDM’15 (demo).

[2015-10-28] Student projects presented as VIS’15 poster and ICDM’15 demo.

[2015-10-27] Visiting Prof. Chaoli Wang at University of Notre Dame.

[2015-09-10] New team website online: http://vis.ios.ac.cn

[2015-08-27] BrainQuest paper accepted to IEEE ICDM’15 (regular paper).

[2015-07-12] EgoNetCloud paper accepted to IEEE VIS’15 (VAST conference track).

[2015-07-05] VEGAS accepted to IEEE TKDE as a regular paper.

[2015-04-01] Serving as assistant to lab directors from Jan. 2015.

[2012~] I’m hiring graduate and intern students at SKLCS regularly, to conduct research in the exciting interdisciplinary area of information visualization, visual analytics and data mining, do not hesitate to send me EMAIL! Summer Internship

read more…

 

RESEARCH INTERESTS


Information visualization and visual analytics on big data with special emphasis on large-scale, dynamic and heterogeneous information, cognitive, social and sensor networks; data mining; visualization tools for network science and applications (read more)

RECENT PUBLICATIONS (* = Corresponding Author)

 


 

·        Lei Shi, Hanghang Tong, Madelaine Daianu, Feng Tian and Paul ThompsonVisual Analysis of Brain Networks using Sparse Regression Models, ACM Transactions on Knowledge Discovery from Data, accepted.

·        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, IEEE International Conference on Data Engineering (ICDE), 2016.[pdf][ppt][poster]

·        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 2015 (VAST conference track).[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, 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]

·        Yifan Hu and Lei Shi, Visualizing Large Graphs, WIREs Computational Statistics, 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, 22nd 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 and Hanghang Tong, Visual Network Analytics in Big Data Era, in Communications of CCF, Sept. 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]

 


SELECTED PUBLICATIONS

Complete | Google | DBLP


·        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 and Chunxin Yang, Investigating Network Traffic Through Compressed Graph Visualization, IEEE VAST Challenge 2012 Award Entry, 2012. [pdf] [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 (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, 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]

·        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]

·        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]


RESEARCH FUNDINGS


  1. 2017.01-2021.12 (PI), Institute of Software, Chinese Academy of Sciences, ISCAS Fund for Distinguished Youth Scholars (RMB 1,650,000)
  2. 2016.01-2019.12 (PI), Chinese Academy of Sciences, Member of the CAS Youth Innovation Promotion Association (RMB 700,000)
  3. 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)
  4. 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)
  5. 2012.04-2014.04 (PI), Start-up Funding of the State Key Laboratory of Computer Science, Big data visual analytics (Grant #: 2004DA173035, RMB150,000)

 

MAJOR HONORS & AWARDS


  1. Distinguished Youth Scholars, Institute of Software, Chinese Academy of Sciences, 2017
  2. Member of CAS Youth Innovation Promotion Association, Chinese Academy of Sciences, 2016
  3. Excellent Young Scholars, Institute of Software, Chinese Academy of Sciences, 2013
  4. IEEE VAST Challenge Award for "Good Adaptation of Graph Analysis Techniques", 2012
  5. IBM Research Division Award for "Smallblue Contribution to GBS" (service-type), 2010
  6. IBM Research Division Award for "Visual Analytics" (science-type) , 2010
  7. IEEE VAST Challenge Award for "Effective Interactive Visualization for Document Content", 2010
  8. Outstanding Ph.D. Graduate, Department of Computer Science, Tsinghua University, 2008
  9. Top-class Jiang Nanxiang scholarship, Tsinghua University, 2007
  10. Beijing Merit Student, 2006
  11. Best paper award, Ph. D. forum, Department of Computer Science, Tsinghua University, 2006
  12. First-class scholarship for social works, Tsinghua University, 2005
  13. Excellent youth leader in Tsinghua University, 2005

Last Modified: Jan. 12nd, 2016