Select Publications
By Dr Siyu WANG
Book Chapters
, 2026, 'Distributional Offline Reinforcement Learning for Recommender Systems', in , pp. 64 - 78, http://dx.doi.org/10.1007/978-981-95-6196-4_5
Journal articles
, 2025, 'Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning-Based Recommendation Systems', ACM Transactions on Intelligent Systems and Technology, 16, http://dx.doi.org/10.1145/3719208
, 2025, 'Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning-Based Recommendation', IEEE Transactions on Neural Networks and Learning Systems, 36, pp. 1044 - 1055, http://dx.doi.org/10.1109/TNNLS.2023.3329808
, 2024, 'On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems', ACM Transactions on Information Systems, 42, http://dx.doi.org/10.1145/3661996
, 2023, 'Intrinsically motivated reinforcement learning based recommendation with counterfactual data augmentation', World Wide Web, 26, pp. 3253 - 3274, http://dx.doi.org/10.1007/s11280-023-01187-7
, 2022, 'Adversarial Robustness of Deep Reinforcement Learning Based Dynamic Recommender Systems', Frontiers in Big Data, 5, http://dx.doi.org/10.3389/fdata.2022.822783
Conference Papers
, 2026, 'Advantage-Conditioned Flow Policy for Offline Reinforcement Learning in Recommendation', in SIGIR 2026 Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 179 - 189, http://dx.doi.org/10.1145/3805712.3809626
, 2025, 'Energy-Guided Diffusion Sampling for Long-Term User Behavior Prediction in Reinforcement Learning-based Recommendation', in Cikm 2025 Proceedings of the 34th ACM International Conference on Information and Knowledge Management, pp. 322 - 331, http://dx.doi.org/10.1145/3746252.3761076
, 2025, 'Maximum In-Support Return Modeling for Dynamic Recommendation with Language Model Prior', in Cikm 2025 Proceedings of the 34th ACM International Conference on Information and Knowledge Management, pp. 332 - 341, http://dx.doi.org/10.1145/3746252.3761336
, 2025, 'Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation', in Www 2025 Proceedings of the ACM Web Conference, pp. 402 - 412, http://dx.doi.org/10.1145/3696410.3714562
, 2025, 'Diffusion Policies for Risk-Averse Behavior Modeling in Offline Reinforcement Learning', in IEEE International Conference on Intelligent Robots and Systems, pp. 567 - 574, http://dx.doi.org/10.1109/IROS60139.2025.11245819
, 2024, 'On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems', in International Conference on Information and Knowledge Management Proceedings, pp. 2390 - 2399, http://dx.doi.org/10.1145/3627673.3679674
, 2024, 'Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation', in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 376 - 384, http://dx.doi.org/10.1145/3637528.3671750
, 2023, 'Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning', in SIGIR 2023 Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1599 - 1608, http://dx.doi.org/10.1145/3539618.3591648
, 2023, 'Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation', in SIGIR 2023 Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1874 - 1878, http://dx.doi.org/10.1145/3539618.3591961
, 2022, 'Empowerment-driven Policy Gradient Learning with Counterfactual Augmentation in Recommender Systems', in Proceedings IEEE International Conference on Data Mining Icdm, pp. 885 - 890, http://dx.doi.org/10.1109/ICDM54844.2022.00102
Preprints
, 2025, Energy-Guided Diffusion Sampling for Long-Term User Behavior Prediction in Reinforcement Learning-based Recommendation, http://dx.doi.org/10.48550/arxiv.2510.12815
, 2025, Maximum In-Support Return Modeling for Dynamic Recommendation with Language Model Prior, http://dx.doi.org/10.48550/arxiv.2510.12816
, 2025, Diffusion Policies for Risk-Averse Behavior Modeling in Offline Reinforcement Learning, http://dx.doi.org/10.48550/arxiv.2403.17646
, 2025, Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation, http://dx.doi.org/10.48550/arxiv.2502.02327
, 2024, On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems, http://dx.doi.org/10.48550/arxiv.2407.13091
, 2024, Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation, http://dx.doi.org/10.48550/arxiv.2406.00725
, 2024, Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation Systems, http://dx.doi.org/10.48550/arxiv.2403.17634
, 2023, Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning based Recommendation, http://dx.doi.org/10.48550/arxiv.2208.05142
, 2023, Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning, http://dx.doi.org/10.48550/arxiv.2304.07920
, 2023, On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems, http://dx.doi.org/10.48550/arxiv.2308.11336
, 2023, Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation, http://dx.doi.org/10.48550/arxiv.2304.07922
, 2022, Intrinsically Motivated Reinforcement Learning based Recommendation with Counterfactual Data Augmentation, http://dx.doi.org/10.48550/arxiv.2209.08228
, 2022, Model-agnostic Counterfactual Synthesis Policy for Interactive Recommendation, http://dx.doi.org/10.48550/arxiv.2204.00308
, 2021, Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems, http://dx.doi.org/10.48550/arxiv.2112.00973