Publications

Xiaocong Chen, Siyu Wang, Lianyong Qi, Yong Li and Lina Yao, Intrinsically Motivated Reinforcement Learning based Recommendation with Counterfactual Data Augmentation, World Wide Web (World Wide Web), 2023.

Siyu Wang, Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang and Quan Z. Sheng, Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems. Frontiers in Big Data.

Siyu Wang, Xiaocong Chen, Dietmar Jannach and Lina Yao, Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning. The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR 2023), Taiwan July 23-27

Siyu Wang, Xiaocong Chen, Quan Z. Sheng, Yihong Zhang and Lina Yao, Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation. The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR 2023), Taiwan July 23-27

Xiaocong Chen, Lina Yao, Xiaojun Chang, Siyu Wang and Yong Li, Empowerment-driven Policy Gradient Learning with Counterfactual Augmentation in Recommender Systems. The 22nd IEEE International Conference on Data Mining (ICDM 2022), Orlando, FL, USA Nov. 28 - Dec. 1 2022

Under Review

Xiaocong Chen, Siyu Wang, Julian McAuley, Dietmar Jannach and Lina Yao, On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems.

Siyu Wang, Xiaocong Chen, Lina Yao and Julian McAuley, Deep Reinforcement Learning for Dynamic Recommendation with Model-agnostic Counterfactual Policy Synthesis.