Empowerment-driven Policy Gradient Learning with Counterfactual Augmentation in Recommender Systems. - Xiaocong Chen; Lina Yao 001; Xiaojun Chang; Siyu Wang 001 (ICDM, 2022)

Model-agnostic Counterfactual Synthesis Policy for Interactive Recommendation. - Siyu Wang 001; Xiaocong Chen; Lina Yao 001 (CoRR, 2022)

Deep Reinforcement Learning for Dynamic Recommendation with Model-agnostic Counterfactual Policy Synthesis. - Siyu Wang 001; Xiaocong Chen; Lina Yao 001; Julian J. McAuley (CoRR, 2022)

Adversarial Robustness of Deep Reinforcement Learning Based Dynamic Recommender Systems. - Siyu Wang 001; Yuanjiang Cao; Xiaocong Chen; Lina Yao 001; Xianzhi Wang 001; Quan Z. Sheng (Frontiers Big Data, 2022)

Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning. - Siyu Wang 001; Xiaocong Chen; Dietmar Jannach; Lina Yao 001 (SIGIR, 2023)

Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation. - Siyu Wang 001; Xiaocong Chen; Quan Z. Sheng; Yihong Zhang 001; Lina Yao 001 (SIGIR, 2023)

Intrinsically motivated reinforcement learning based recommendation with counterfactual data augmentation. - Xiaocong Chen; Siyu Wang 001; Lianyong Qi; Yong Li 008; Lina Yao 001 (World Wide Web (WWW), 2023)

On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems. - Siyu Wang 001; Xiaocong Chen; Lina Yao 001 (CIKM, 2024)

Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation. - Xiaocong Chen; Siyu Wang 001; Lina Yao 001 (KDD, 2024)

Uncertainty-aware Distributional Offline Reinforcement Learning. - Xiaocong Chen; Siyu Wang 001; Tong Yu 001; Lina Yao 001 (CoRR, 2024)

On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems. - Xiaocong Chen; Siyu Wang 001; Julian J. McAuley; Dietmar Jannach; Lina Yao 001 (ACM Trans. Inf. Syst., 2024)

Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation. - Siyu Wang 001; Xiaocong Chen; Lina Yao 001 (WWW, 2025)

Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning-Based Recommendation. - Siyu Wang 001; Xiaocong Chen; Julian J. McAuley; Sally Cripps; Lina Yao 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning-Based Recommendation Systems. - Siyu Wang 001; Xiaocong Chen; Lina Yao 001 (ACM Trans. Intell. Syst. Technol., 2025)