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Research Experience

  • February 2019 - Present, Weill Cornell Medicine | NewYork-Presbyterian Hospital, working with Prof. Fei Wang
  • June 2017 - May 2018, Center for Complex Network Research, working with Prof. Albert-László Barabási
  • Summer 2015 & 2016, working with visiting Prof. Christos Faloutsos from CMU
  • Summer 2014 & 2015, working with visiting Prof. Chaoming Song from Miami University
  • September 2013 - January 2019 , Department of Computer Science, Tsinghua University. Supervisor: Prof. Wenwu Zhu and Prof. Peng Cui
  • March 2011 - May 2012, Department of Computer Science, Sun Yat-sen University. Supervisor: Prof. Jiwu Huang

Education

Publications

2020

1 Neural Dynamics on Complex Networks
Chengxi Zang and Fei Wang.
AAAI 2020 Deep Learning on Graphs: Methodologies and Applications (DLGMA’20) workshop (Best Paper Award)
[PDF]

2019

1 Dynamical Origins of Distribution Functions
Chengxi Zang, Peng Cui, Wenwu Zhu, and Fei Wang.
ACM Conference on Knowledge Discovery and Data Mining (KDD), 2019. (Accept Rate (110 oral + 60 poster)/1200 = 14.2%, Oral)
[PDF]
2 Uncovering Pattern Formation of Information Flow.
Chengxi Zang, Peng Cui, Chaoming Song, Wenwu Zhu, and Fei Wang.
ACM Conference on Knowledge Discovery and Data Mining (KDD), 2019. (Accept Rate (110 oral + 60 poster)/1200 = 14.2%, Poster)
[PDF]
3 Fates of Microscopic Social Ecosystems: Keep Alive or Dead?
Haoyang Li, Peng Cui, Chengxi Zang, Tianyang Zhang, Wenwu Zhu, and Yishi Lin.
ACM Conference on Knowledge Discovery and Data Mining (KDD), 2019. (Accept Rate (110 oral + 60 poster)/1200 = 14.2%, Oral)
[PDF]
4 Uncovering the Co-driven Mechanism of Social and Content Links in User Churn Phenomena
Yunfei Lu, Lingyun Yu, Peng Cui, Chengxi Zang, Renzhe Xu, Yihao Liu, Lei Li, and Wenwu Zhu.
ACM Conference on Knowledge Discovery and Data Mining (KDD), 2019. (Accept Rate (45 oral + 100 poster)/700 = 20.7%, Poster, Applied Data Science Track)
[PDF]
5 Causation-Driven Visualizations for Insurance Recommendation
Zhixiu Liu, Chengxi Zang, Kun Kunag, Hao Zou, Hu Zheng, and Peng Cui
IEEE International Conference on Multimedia & Expo (ICME), 2019, the Cross-media Analysis for Semantic Knowledge Reasoning and Transfer Workshop.
[PDF]

2018

1 Learning and Interpreting Complex Distributions in Empirical Data
Chengxi Zang, Peng Cui, Wenwu Zhu.
ACM Conference on Knowledge Discovery and Data Mining (KDD), 2018. (Accept Rate 181/983 = 18.4%, Oral)
[PDF]
[PPT]
2 On Power Law Growth of Social Networks.
Chengxi Zang, Peng Cui, Christos Faloutsos, Wenwu Zhu.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018
[PDF]
[Code]
3 Collective Human Behavior in Cascading System: Discovery, Modeling and Applications.
Yunfei Lu, Linyun Yu, Tianyang Zhang, Chengxi Zang, Peng Cui, Chaoming Song, and Wenwu Zhu.
2018 IEEE International Conference on Data Mining (ICDM'18). (Acceptance Rate 84/948 =8.86%, Full Paper, Best Paper Candidate)
[PDF]
4 Modeling the Dynamics of WeChat Social System.
Chengxi Zang, Peng Cui, Linyun Yu, Tianyang Zhang, Wenwu Zhu, Hao Ye.
Draft
[PDF]

2017

1 Long Short Memory Process: Modeling Growth Dynamics of Microscopic Social Connectivity.
Chengxi Zang, Peng Cui, Christos Faloutsos, Wenwu Zhu.
ACM Conference on Knowledge Discovery and Data Mining (KDD), 2017. (Accept Rate 131/748 = 17.5%, Oral)
[PDF]
[PPT]
[Poster]
[Code]
[Video 1 or 2]
2 Quantifying Structural Patterns of Information Cascades.
Chengxi Zang, Peng Cui, Chaoming Song, Christos Faloutsos, Wenwu Zhu.
International World Wide Web Conference (WWW), Poster, 2017. (Accept Rate 67/166 = 40.4%)
[PDF]
[PPT]
[Poster]
3 Structural Patterns of Information Cascades and their Implications for Dynamics and Semantics.
Chengxi Zang, Peng Cui, Chaoming Song, Christos Faloutsos, Wenwu Zhu.
arXiv Draft
[PDF]

2016

1 Beyond Sigmoids: the NetTide Model for Social Network Growth, and its Applications.
Chengxi Zang, Peng Cui, Christos Faloutsos.
ACM Conference on Knowledge Discovery and Data Mining (KDD), 2016. (Accept Rate 142/784 = 18.1%)
[PDF]
[PPT]
[Poster]
[Code]