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I am currently a Ph.D. Student in Computer Science at Peking University under the supervisor of Prof. Xiaoru Yuan. My research interests are in social media analytics and graph visualization . I like computers, travelling and table games. I believe information can be spread widely through visual communication.

Education

• Sep. 2016 - present, Peking University, Beijing, PRC, major in Computer and Information Technology

• Sep. 2012 - 2016, Xidian University, Xi'an, Shanxi, major in Telecommunications Engineering, School of Telecommunications Engineering

Research

• 2015 - present, Visualization and Visual Analysis Group of Peking University
  Focusing on social media analytics and graph visualization

Publications

• Shuai Chen , Sihang Li, Yanda Li, Junlin Zhu, Juanjuan Long, Siming Chen, Jiawan Zhang and Xiaoru Yuan.
  DanmuVis: Visualizing Danmu Content Dynamics and Associated Viewer Behaviors in Online Videos.
  Computer Graphics Forum (EuroVis’22),, 41(3): 429-440, 2022.
  

• Shuai Chen, Hao Wu, Zhixian Lin, Cong Guo, Lijing Lin, Fan Hong, and Xiaoru Yuan..
  Photo4Action: Phone Camera-based Interaction for GraphVisualizations on Large Wall Displays.
  Journal of Visualization (ChinaVis'20),, 24(5): 1083-1095, 2021.
  

| Paper |

• Shuai Chen, Sihang Li, Siming Chen, and Xiaoru Yuan.
  R-Map: A Map Metaphor for Visualizing Information Reposting Process in Social Media.
  IEEE Transactions on Visualization and Computer Graphics (VAST’19), 26(1):1204-1214, 2020.
  

| Paper | Video | Slides |

• Siming Chen, Shuai Chen, Lijing Lin, Xiaoru Yuan, Jie Liang, Xiaolong (Luke) Zhang.
  E-Map: A Visual Analytics Approach for Exploring Significant Event Evolutions in Social Media.
  in Proceedings of IEEE Symposium on Visual Analytics Science and Technology (VAST'17), Phoenix, USA, Oct.1-6, 2017.
  

| Paper | Video | Slides |

• Siming Chen, Shuai Chen, Zhenhuang Wang, Jie Liang, Xiaoru Yuan, Nan Cao, Yadong Wu.
  D-Map: Visual Analysis of Ego-centric Information Diffusion Patterns in Social Media.
  in Proceedings of IEEE Symposium on Visual Analytics Science and Technology (VAST'16), pages 41-50, Baltimore, USA, Oct. 23-28, 2016.
  

| Paper | Video | Slides |