Uncovering the Heterogeneous Effects of Preference Diversity on User Activeness: A Dynamic Mixture Model.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Exploring the collective human behavior in cascading systems: a comprehensive framework.
Knowl. Inf. Syst., 2020
Uncovering the Co-driven Mechanism of Social and Content Links in User Churn Phenomena.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Collective Human Behavior in Cascading System: Discovery, Modeling and Applications.
Proceedings of the IEEE International Conference on Data Mining, 2018
Uncovering and predicting the dynamic process of information cascades with survival model.
Knowl. Inf. Syst., 2017
A Temporally Heterogeneous Survival Framework with Application to Social Behavior Dynamics.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
From Micro to Macro: Uncovering and Predicting Information Cascading Process with Behavioral Dynamics.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Cascading outbreak prediction in networks: a data-driven approach.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013