Chengxi Zang - RankMe

28 papers A* 13Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Extracting Post-Acute Sequelae of SARS-CoV-2 Infection Symptoms from Clinical Notes via Hybrid Natural Language Processing. CoRR Zilong Bai, Zihan Xu, Cong Sun, 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, Christopher B. Forrest, Rainu Kaushal, Fei Wang, Yifan Peng
2025	J	`jnl`	Federated Causal Inference in Healthcare: Methods, Challenges, and Applications. CoRR Haoyang Li, Jie Xu, Kyra Gan, Fei Wang, Chengxi Zang
2025	J	`jnl`	Federated target trial emulation using distributed observational data for treatment effect estimation. npj Digit. Medicine Haoyang Li, Chengxi Zang, Zhenxing Xu, Weishen Pan, Suraj Rajendran, Yong Chen, Fei Wang
2024	J	`jnl`	Emerging Opportunities of Using Large Language Models for Translation Between Drug Molecules and Indications. CoRR David Oniani, Jordan Hilsman, Chengxi Zang, Junmei Wang, Lianjin Cai, Jan Zawala, Yanshan Wang
2023	A*	`conf`	Mining Electronic Health Records for Real-World Evidence. KDD Chengxi Zang, Weishen Pan, Fei Wang
2021	J	`jnl`	Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients. CoRR 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
2021	J	`jnl`	Contrastive learning improves critical event prediction in COVID-19 patients. Patterns 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
2021	A*	`conf`	SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records. ICDM Chengxi Zang, Fei Wang
2021	J	`jnl`	SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records. CoRR Chengxi Zang, Fei Wang
2020	J	`jnl`	Exploring the collective human behavior in cascading systems: a comprehensive framework. Knowl. Inf. Syst. Yunfei Lu, Linyun Yu, Tianyang Zhang, Chengxi Zang, Peng Cui, Chaoming Song, Wenwu Zhu
2020	A*	`conf`	MoFlow: An Invertible Flow Model for Generating Molecular Graphs. KDD Chengxi Zang, Fei Wang
2020	J	`jnl`	MoFlow: An Invertible Flow Model for Generating Molecular Graphs. CoRR Chengxi Zang, Fei Wang
2020	A*	`conf`	Neural Dynamics on Complex Networks. KDD Chengxi Zang, Fei Wang
2020	A*	`conf`	Recent Advances on Graph Analytics and Its Applications in Healthcare. KDD Fei Wang, Peng Cui, Jian Pei, Yangqiu Song, Chengxi Zang
2020	J	`jnl`	Visualizing Deep Graph Generative Models for Drug Discovery. CoRR Karan Yang, Chengxi Zang, Fei Wang
2019	—	`conf`	Causation-Driven Visualizations for Insurance Recommendation. ICME Workshops Zhixiu Liu, Chengxi Zang, Kun Kuang, Hao Zou, Hu Zheng, Peng Cui
2019	A*	`conf`	Dynamical Origins of Distribution Functions. KDD Chengxi Zang, Peng Cui, Wenwu Zhu, Fei Wang
2019	A*	`conf`	Fates of Microscopic Social Ecosystems: Keep Alive or Dead? KDD Haoyang Li, Peng Cui, Chengxi Zang, Tianyang Zhang, Wenwu Zhu, Yishi Lin
2019	J	`jnl`	Neural Dynamics on Complex Networks. CoRR Chengxi Zang, Fei Wang
2019	A*	`conf`	Uncovering Pattern Formation of Information Flow. KDD Chengxi Zang, Peng Cui, Chaoming Song, Wenwu Zhu, Fei Wang
2019	A*	`conf`	Uncovering the Co-driven Mechanism of Social and Content Links in User Churn Phenomena. KDD Yunfei Lu, Linyun Yu, Peng Cui, Chengxi Zang, Renzhe Xu, Yihao Liu, Lei Li, Wenwu Zhu
2018	A*	`conf`	Collective Human Behavior in Cascading System: Discovery, Modeling and Applications. ICDM Yunfei Lu, Linyun Yu, Tianyang Zhang, Chengxi Zang, Peng Cui, Chaoming Song, Wenwu Zhu
2018	A*	`conf`	Learning and Interpreting Complex Distributions in Empirical Data. KDD Chengxi Zang, Peng Cui, Wenwu Zhu
2018	J	`jnl`	On Power Law Growth of Social Networks. IEEE Trans. Knowl. Data Eng. Chengxi Zang, Peng Cui, Christos Faloutsos, Wenwu Zhu
2017	A*	`conf`	Long Short Memory Process: Modeling Growth Dynamics of Microscopic Social Connectivity. KDD Chengxi Zang, Peng Cui, Christos Faloutsos, Wenwu Zhu
2017	—	`conf`	Quantifying Structural Patterns of Information Cascades. WWW (Companion Volume) Chengxi Zang, Peng Cui, Chaoming Song, Christos Faloutsos, Wenwu Zhu
2017	J	`jnl`	Structural patterns of information cascades and their implications for dynamics and semantics. CoRR Chengxi Zang, Peng Cui, Chaoming Song, Christos Faloutsos, Wenwu Zhu
2016	A*	`conf`	Beyond Sigmoids: The NetTide Model for Social Network Growth, and Its Applications. KDD Chengxi Zang, Peng Cui, Christos Faloutsos