| C13 |
SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records
Chengxi Zang and Fei Wang.
2021 IEEE International Conference on Data Mining (ICDM'21). (Acceptance Rate 98/990 =9.9%, Regular Paper)
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[PDF]
[Code]
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| C12 |
MoFlow: An Invertible Flow Model for Generating Molecular Graphs
Chengxi Zang and Fei Wang.
KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (Accept Rate 216/1279 = 16.89%, Full Paper)
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[PDF]
[Slides]
[YouTube]
[Code]
[Demo!]
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| C11 |
Neural Dynamics on Complex Networks
Chengxi Zang and Fei Wang.
KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (Accept Rate 216/1279 = 16.89%, Full Paper)
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[PDF]
[Slides]
[YouTube]
[Code]
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| C10 |
Recent Advances on Graph Analytics and Its Applications in Healthcare
Fei Wang , Peng Cui , Jian Pei , Yangqiu Song , Chengxi Zang
KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
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[PDF]
[Webpage]
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| C9 |
Dynamical Origins of Distribution Functions
Chengxi Zang, Peng Cui, Wenwu Zhu, and Fei Wang.
KDD '19: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (Accept Rate (110 oral + 60 poster)/1200 = 14.2%, Oral)
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[PDF]
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| C8 |
Uncovering Pattern Formation of Information Flow.
Chengxi Zang, Peng Cui, Chaoming Song, Wenwu Zhu, and Fei Wang.
KDD '19: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (Accept Rate (110 oral + 60 poster)/1200 = 14.2%, Poster)
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[PDF]
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| C7 |
Fates of Microscopic Social Ecosystems: Keep Alive or Dead?
Haoyang Li, Peng Cui, Chengxi Zang, Tianyang Zhang, Wenwu Zhu, and Yishi Lin.
KDD '19: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (Accept Rate (110 oral + 60 poster)/1200 = 14.2%, Oral)
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[PDF]
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| C6 |
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.
KDD '19: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (Accept Rate (45 oral + 100 poster)/700 = 20.7%, Poster, Applied Data Science Track)
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[PDF]
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| C5 |
Learning and Interpreting Complex Distributions in Empirical Data
Chengxi Zang, Peng Cui, Wenwu Zhu.
KDD '18: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (Accept Rate 181/983 = 18.4%, Oral)
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[PDF]
[PPT]
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| C4 |
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)
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[PDF]
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| C3 |
Long Short Memory Process: Modeling Growth Dynamics of Microscopic Social Connectivity.
Chengxi Zang, Peng Cui, Christos Faloutsos, Wenwu Zhu.
KDD '17: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (Accept Rate 131/748 = 17.5%, Oral)
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[PDF]
[PPT]
[Poster]
[Code]
[Video 1 or 2]
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| C2 |
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%)
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[PDF]
[PPT]
[Poster]
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| C1 |
Beyond Sigmoids: the NetTide Model for Social Network Growth, and its Applications.
Chengxi Zang, Peng Cui, Christos Faloutsos.
KDD '16: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (Accept Rate 142/784 = 18.1%)
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[PDF]
[PPT]
[Poster]
[Code]
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