Chengxi Zang

According to our database, Chengxi Zang authored at least 22 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

2023

Mining Electronic Health Records for Real-World Evidence.

Chengxi Zang, Weishen Pan, Fei Wang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

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, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg

Patterns, 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, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg

CoRR, 2021

SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records.

Chengxi Zang, Fei Wang

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Exploring the collective human behavior in cascading systems: a comprehensive framework.

Yunfei Lu, Linyun Yu, Tianyang Zhang, Chengxi Zang, Peng Cui, Chaoming Song, Wenwu Zhu

Knowl. Inf. Syst., 2020

Visualizing Deep Graph Generative Models for Drug Discovery.

Karan Yang, Chengxi Zang, Fei Wang

CoRR, 2020

Neural Dynamics on Complex Networks.

Chengxi Zang, Fei Wang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

MoFlow: An Invertible Flow Model for Generating Molecular Graphs.

Chengxi Zang, Fei Wang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Recent Advances on Graph Analytics and Its Applications in Healthcare.

Fei Wang, Peng Cui, Jian Pei, Yangqiu Song, Chengxi Zang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Dynamical Origins of Distribution Functions.

Chengxi Zang, Peng Cui, Wenwu Zhu, Fei Wang

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Uncovering Pattern Formation of Information Flow.

Chengxi Zang, Peng Cui, Chaoming Song, Wenwu Zhu, Fei Wang

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Uncovering the Co-driven Mechanism of Social and Content Links in User Churn Phenomena.

Yunfei Lu, Linyun Yu, Peng Cui, Chengxi Zang, Renzhe Xu, Yihao Liu, Lei Li, Wenwu Zhu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Fates of Microscopic Social Ecosystems: Keep Alive or Dead?

Haoyang Li, Peng Cui, Chengxi Zang, Tianyang Zhang, Wenwu Zhu, Yishi Lin

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Causation-Driven Visualizations for Insurance Recommendation.

Zhixiu Liu, Chengxi Zang, Kun Kuang, Hao Zou, Hu Zheng, Peng Cui

Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019

2018

On Power Law Growth of Social Networks.

Chengxi Zang, Peng Cui, Christos Faloutsos, Wenwu Zhu

IEEE Trans. Knowl. Data Eng., 2018

Learning and Interpreting Complex Distributions in Empirical Data.

Chengxi Zang, Peng Cui, Wenwu Zhu

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Collective Human Behavior in Cascading System: Discovery, Modeling and Applications.

Yunfei Lu, Linyun Yu, Tianyang Zhang, Chengxi Zang, Peng Cui, Chaoming Song, Wenwu Zhu

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Structural patterns of information cascades and their implications for dynamics and semantics.

Chengxi Zang, Peng Cui, Chaoming Song, Christos Faloutsos, Wenwu Zhu

CoRR, 2017

Quantifying Structural Patterns of Information Cascades.

Chengxi Zang, Peng Cui, Chaoming Song, Christos Faloutsos, Wenwu Zhu

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Long Short Memory Process: Modeling Growth Dynamics of Microscopic Social Connectivity.

Chengxi Zang, Peng Cui, Christos Faloutsos, Wenwu Zhu

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

Beyond Sigmoids: The NetTide Model for Social Network Growth, and Its Applications.

Chengxi Zang, Peng Cui, Christos Faloutsos

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016