I am a graduate student in the Human Centric Data Mining Group, Department of Computer Science, University of Virginia. My advisor is Professor Hongning Wang. My research focuses on user behavior modeling for recommendation systems.
Mengdi Huai, Jianhui Sun, Renqin Cai, Liuyi Yao and Aidong Zhang. Malicious Attacks against Deep Reinforcement Learning Interpretations. KDD 2020.
Jibang Wu, Renqin Cai, Hongning Wang. Déjà vu: The Contextualized Temporal Attention Mechanism for Sequential Recommendation. The Web Conference 2020 (WWW 2020).
Dezhi Hong, Renqin Cai, Hongning Wang, Kamin Whitehouse. Learning from Correlated Events for Equipment Relation Inference in Buildings. BuildSys 2019.
Zhendong Chu, Renqin Cai, Hongning Wang. Account for Temporal Dynamics when Modeling Document Streams. CIKM 2019.
Renqin Cai, Xueying Bai, Zhenrui Wang, Yulin Shi, Parikshit Sondhi, Hongning Wang. Modeling Sequential Online Interactive Behaviors with Temporal Point Process. CIKM 2018.
Renqin Cai, Chi Wang, and Hongning Wang. Accounting for the Correspondence in Commented Data. SIGIR 2017.