个人经历

研究工作

研究方向

• Social computing: Social network analysis, influence modeling and prediction
• Statistical physics: Analysis of human dynamics and interactions

发表论文

• 会议
  • Yunfei Lu, Linyun Yu, Peng Cui, Chengxi Zang, Renzhe Xu, Yihao Liu, Lei Li and Wenwu Zhu. “Uncovering the Co­driven Mechanism of Social and Content Links in User Churn Phenomena”, in the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Aug 2019. (Applied Data Science Track, CCF A) [Paper]
  • Yunfei Lu, Linyun Yu, Tianyang Zhang, Chengxi Zang, Peng Cui, Chaoming Song and Wenwu Zhu. “Collective Human Behavior in Cascading System: Discovery, Modeling and Applications.”, in the IEEE International Conference on Data Mining (ICDM), Nov 2018. (Best Paper Finalist, CCF B) [Paper]
  • Linyun Yu, Peng Cui, Chaoming Song, Tianyang Zhang and Shiqiang Yang. “A Temporally Heterogeneous Survival Framework with Application to Social Behavior Dynamics”, in the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Aug 2017. (Poster, CCF A) [Paper] [Slides] [Poster]
  • Linyun Yu, Peng Cui, Fei Wang, Chaoming Song and Shiqiang Yang. “From Micro to Macro: Uncovering and Predicting Information Cascading Process with Behavioral Dynamics”, in the IEEE International Conference on Data Mining (ICDM), Nov 2015. (Best Student Paper Award, acceptance rate 8.4%, CCF B) [Paper] [Slides] [Slides(pdf)]
  • Peng Cui, Shifei Jin, Linyun Yu, Fei Wang, Wenwu Zhu and Shiqiang Yang. “Cascading Outbreak Prediction in Networks: A Data-Driven Approach”. in the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Aug 2013. (Full Paper, acceptance rate 17.4%, CCF A) [Paper] [Poster]
• 期刊
  • Linyun Yu, Peng Cui, Fei Wang, Chaoming Song and Shiqiang Yang. “Uncovering and predicting the dynamic process of information cascades with survival model”, Special Issue on the Best of ICDM 2015, in Knowledge and Information Systems (KAIS), April 2016. (regular paper, IF = 1.78, CCF B) [Paper]

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