Beyond Sigmoids: The NetTide Model for Social Network Growth, and Its Applications. - Chengxi Zang; Peng Cui 001; Christos Faloutsos (KDD, 2016)

Long Short Memory Process: Modeling Growth Dynamics of Microscopic Social Connectivity. - Chengxi Zang; Peng Cui 001; Christos Faloutsos; Wenwu Zhu 001 (KDD, 2017)

Quantifying Structural Patterns of Information Cascades. - Chengxi Zang; Peng Cui 001; Chaoming Song; Christos Faloutsos; Wenwu Zhu 001 (WWW (Companion Volume), 2017)

Structural patterns of information cascades and their implications for dynamics and semantics. - Chengxi Zang; Peng Cui 001; Chaoming Song; Christos Faloutsos; Wenwu Zhu 001 (CoRR, 2017)

Collective Human Behavior in Cascading System: Discovery, Modeling and Applications. - Yunfei Lu; Linyun Yu; Tianyang Zhang 001; Chengxi Zang; Peng Cui 001; Chaoming Song; Wenwu Zhu 001 (ICDM, 2018)

Learning and Interpreting Complex Distributions in Empirical Data. - Chengxi Zang; Peng Cui 001; Wenwu Zhu 001 (KDD, 2018)

On Power Law Growth of Social Networks. - Chengxi Zang; Peng Cui 001; Christos Faloutsos; Wenwu Zhu 001 (IEEE Trans. Knowl. Data Eng., 2018)

Causation-Driven Visualizations for Insurance Recommendation. - Zhixiu Liu; Chengxi Zang; Kun Kuang; Hao Zou 001; Hu Zheng; Peng Cui 001 (ICME Workshops, 2019)

Fates of Microscopic Social Ecosystems: Keep Alive or Dead? - Haoyang Li 001; Peng Cui 001; Chengxi Zang; Tianyang Zhang 001; Wenwu Zhu 001; Yishi Lin (KDD, 2019)

Uncovering the Co-driven Mechanism of Social and Content Links in User Churn Phenomena. - Yunfei Lu; Linyun Yu; Peng Cui 001; Chengxi Zang; Renzhe Xu; Yihao Liu; Lei Li 005; Wenwu Zhu 001 (KDD, 2019)

Uncovering Pattern Formation of Information Flow. - Chengxi Zang; Peng Cui 001; Chaoming Song; Wenwu Zhu 001; Fei Wang 001 (KDD, 2019)

Dynamical Origins of Distribution Functions. - Chengxi Zang; Peng Cui 001; Wenwu Zhu 001; Fei Wang 001 (KDD, 2019)

Recent Advances on Graph Analytics and Its Applications in Healthcare. - Fei Wang 001; Peng Cui 001; Jian Pei 001; Yangqiu Song; Chengxi Zang (KDD, 2020)

MoFlow: An Invertible Flow Model for Generating Molecular Graphs. - Chengxi Zang; Fei Wang 001 (KDD, 2020)

Neural Dynamics on Complex Networks. - Chengxi Zang; Fei Wang 001 (KDD, 2020)

Visualizing Deep Graph Generative Models for Drug Discovery. - Karan Yang; Chengxi Zang; Fei Wang 001 (CoRR, 2020)

Exploring the collective human behavior in cascading systems: a comprehensive framework. - Yunfei Lu; Linyun Yu; Tianyang Zhang 001; Chengxi Zang; Peng Cui 001; Chaoming Song; Wenwu Zhu 001 (Knowl. Inf. Syst., 2020)

SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records. - Chengxi Zang; Fei Wang 001 (ICDM, 2021)

Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients. - 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; et al. (CoRR, 2021)

Contrastive learning improves critical event prediction in COVID-19 patients. - 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; et al. (Patterns, 2021)

Mining Electronic Health Records for Real-World Evidence. - Chengxi Zang; Weishen Pan; Fei Wang 001 (KDD, 2023)

Emerging Opportunities of Using Large Language Models for Translation Between Drug Molecules and Indications. - David Oniani; Jordan Hilsman; Chengxi Zang; Junmei Wang; Lianjin Cai; Jan Zawala; Yanshan Wang (CoRR, 2024)

Federated target trial emulation using distributed observational data for treatment effect estimation. - Haoyang Li 001; Chengxi Zang; Zhenxing Xu; Weishen Pan; Suraj Rajendran; Yong Chen 016; Fei Wang 001 (npj Digit. Medicine, 2025)

Federated Causal Inference in Healthcare: Methods, Challenges, and Applications. - Haoyang Li 001; Jie Xu 012; Kyra Gan; Fei Wang 001; Chengxi Zang (CoRR, 2025)

Extracting Post-Acute Sequelae of SARS-CoV-2 Infection Symptoms from Clinical Notes via Hybrid Natural Language Processing. - Zilong Bai; Zihan Xu; Cong Sun 004; Chengxi Zang; H. Timothy Bunnell; Catherine Sinfield; Jacqueline R. M. A. Maasch; Aaron Thomas Martinez; L. Charles Bailey; Mark G. Weiner; Thomas R. Campion Jr.; Thomas Carton; et al. (CoRR, 2025)