Chengxi Zang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 25

Top Topics

Structural Patterns

Distribution Function

Top Venues

Knowl. Inf. Syst.

Publications

David Oniani, Jordan Hilsman, Chengxi Zang, Junmei Wang, Lianjin Cai, Jan Zawala, Yanshan Wang
Emerging Opportunities of Using Large Language Language Models for Translation Between Drug Molecules and Indications. CoRR (2024)
Chengxi Zang, Weishen Pan, Fei Wang
Mining Electronic Health Records for Real-World Evidence. KDD (2023)
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) (2021)
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 (2021)
Chengxi Zang, Fei Wang
SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records. ICDM (2021)
Chengxi Zang, Fei Wang
SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records. CoRR (2021)
Karan Yang, Chengxi Zang, Fei Wang
Visualizing Deep Graph Generative Models for Drug Discovery. CoRR (2020)
Fei Wang, Peng Cui, Jian Pei, Yangqiu Song, Chengxi Zang
Recent Advances on Graph Analytics and Its Applications in Healthcare. KDD (2020)
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) (2020)
Chengxi Zang, Fei Wang
MoFlow: An Invertible Flow Model for Generating Molecular Graphs. KDD (2020)
Chengxi Zang, Fei Wang
Neural Dynamics on Complex Networks. KDD (2020)
Chengxi Zang, Fei Wang
MoFlow: An Invertible Flow Model for Generating Molecular Graphs. CoRR (2020)
Chengxi Zang, Peng Cui, Wenwu Zhu, Fei Wang
Dynamical Origins of Distribution Functions. KDD (2019)
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)
Zhixiu Liu, Chengxi Zang, Kun Kuang, Hao Zou, Hu Zheng, Peng Cui
Causation-Driven Visualizations for Insurance Recommendation. ICME Workshops (2019)
Haoyang Li, Peng Cui, Chengxi Zang, Tianyang Zhang, Wenwu Zhu, Yishi Lin
Fates of Microscopic Social Ecosystems: Keep Alive or Dead? KDD (2019)
Chengxi Zang, Peng Cui, Chaoming Song, Wenwu Zhu, Fei Wang
Uncovering Pattern Formation of Information Flow. KDD (2019)
Chengxi Zang, Fei Wang
Neural Dynamics on Complex Networks. CoRR (2019)
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)
Chengxi Zang, Peng Cui, Wenwu Zhu
Learning and Interpreting Complex Distributions in Empirical Data. KDD (2018)
Chengxi Zang, Peng Cui, Christos Faloutsos, Wenwu Zhu
On Power Law Growth of Social Networks. IEEE Trans. Knowl. Data Eng. 30 (9) (2018)
Chengxi Zang, Peng Cui, Chaoming Song, Christos Faloutsos, Wenwu Zhu
Quantifying Structural Patterns of Information Cascades. WWW (Companion Volume) (2017)
Chengxi Zang, Peng Cui, Christos Faloutsos, Wenwu Zhu
Long Short Memory Process: Modeling Growth Dynamics of Microscopic Social Connectivity. KDD (2017)
Chengxi Zang, Peng Cui, Chaoming Song, Christos Faloutsos, Wenwu Zhu
Structural patterns of information cascades and their implications for dynamics and semantics. CoRR (2017)
Chengxi Zang, Peng Cui, Christos Faloutsos
Beyond Sigmoids: The NetTide Model for Social Network Growth, and Its Applications. KDD (2016)