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Journal Articles
- 2021
[j3]Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki
, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Jing Zhang, Riccardo Miotto, Zhangyang Wang, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg:
Contrastive learning improves critical event prediction in COVID-19 patients. Patterns 2(12): 100389 (2021)- 2020
- [j2]Yunfei Lu, Linyun Yu, Tianyang Zhang, Chengxi Zang, Peng Cui, Chaoming Song, Wenwu Zhu:
Exploring the collective human behavior in cascading systems: a comprehensive framework. Knowl. Inf. Syst. 62(12): 4599-4623 (2020) - 2018
- [j1]Chengxi Zang, Peng Cui, Christos Faloutsos, Wenwu Zhu:
On Power Law Growth of Social Networks. IEEE Trans. Knowl. Data Eng. 30(9): 1727-1740 (2018)
Conference and Workshop Papers
- 2023
- [c15]Chengxi Zang, Weishen Pan, Fei Wang:
Mining Electronic Health Records for Real-World Evidence. KDD 2023: 5837-5838 - 2021
- [c14]Chengxi Zang, Fei Wang:
SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records. ICDM 2021: 857-866 - 2020
- [c13]Chengxi Zang, Fei Wang:
MoFlow: An Invertible Flow Model for Generating Molecular Graphs. KDD 2020: 617-626 - [c12]Chengxi Zang, Fei Wang:
Neural Dynamics on Complex Networks. KDD 2020: 892-902 - [c11]Fei Wang, Peng Cui, Jian Pei, Yangqiu Song, Chengxi Zang:
Recent Advances on Graph Analytics and Its Applications in Healthcare. KDD 2020: 3545-3546 - 2019
- [c10]Zhixiu Liu, Chengxi Zang, Kun Kuang, Hao Zou, Hu Zheng, Peng Cui:
Causation-Driven Visualizations for Insurance Recommendation. ICME Workshops 2019: 471-476 - [c9]Chengxi Zang, Peng Cui, Wenwu Zhu, Fei Wang:
Dynamical Origins of Distribution Functions. KDD 2019: 469-478 - [c8]Haoyang Li, Peng Cui, Chengxi Zang, Tianyang Zhang, Wenwu Zhu, Yishi Lin:
Fates of Microscopic Social Ecosystems: Keep Alive or Dead? KDD 2019: 668-676 - [c7]Chengxi Zang, Peng Cui, Chaoming Song, Wenwu Zhu, Fei Wang:
Uncovering Pattern Formation of Information Flow. KDD 2019: 1691-1699 - [c6]Yunfei Lu, Linyun Yu, Peng Cui, Chengxi Zang, Renzhe Xu, Yihao Liu, Lei Li, Wenwu Zhu:
Uncovering the Co-driven Mechanism of Social and Content Links in User Churn Phenomena. KDD 2019: 3093-3101 - 2018
- [c5]Yunfei Lu, Linyun Yu, Tianyang Zhang, Chengxi Zang, Peng Cui, Chaoming Song, Wenwu Zhu:
Collective Human Behavior in Cascading System: Discovery, Modeling and Applications. ICDM 2018: 297-306 - [c4]Chengxi Zang, Peng Cui, Wenwu Zhu:
Learning and Interpreting Complex Distributions in Empirical Data. KDD 2018: 2682-2691 - 2017
- [c3]Chengxi Zang, Peng Cui, Christos Faloutsos, Wenwu Zhu:
Long Short Memory Process: Modeling Growth Dynamics of Microscopic Social Connectivity. KDD 2017: 565-574 - [c2]Chengxi Zang, Peng Cui, Chaoming Song, Christos Faloutsos, Wenwu Zhu:
Quantifying Structural Patterns of Information Cascades. WWW (Companion Volume) 2017: 867-868 - 2016
- [c1]Chengxi Zang, Peng Cui, Christos Faloutsos:
Beyond Sigmoids: The NetTide Model for Social Network Growth, and Its Applications. KDD 2016: 2015-2024
Informal and Other Publications
- 2024
- [i7]David Oniani, Jordan Hilsman, Chengxi Zang, Junmei Wang, Lianjin Cai, Jan Zawala, Yanshan Wang:
Emerging Opportunities of Using Large Language Models for Translation Between Drug Molecules and Indications. CoRR abs/2402.09588 (2024) - 2021
- [i6]Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Riccardo Miotto, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg:
Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients. CoRR abs/2101.04013 (2021) - [i5]Chengxi Zang, Fei Wang:
SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records. CoRR abs/2110.04943 (2021) - 2020
- [i4]Chengxi Zang, Fei Wang:
MoFlow: An Invertible Flow Model for Generating Molecular Graphs. CoRR abs/2006.10137 (2020) - [i3]Karan Yang, Chengxi Zang, Fei Wang:
Visualizing Deep Graph Generative Models for Drug Discovery. CoRR abs/2007.10333 (2020) - 2019
- [i2]Chengxi Zang, Fei Wang:
Neural Dynamics on Complex Networks. CoRR abs/1908.06491 (2019) - 2017
- [i1]Chengxi Zang, Peng Cui, Chaoming Song, Christos Faloutsos, Wenwu Zhu:
Structural patterns of information cascades and their implications for dynamics and semantics. CoRR abs/1708.02377 (2017)
Coauthor Index
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