Publications

Conference Paper

Siyu Wang, Xiaocong Chen and Lina Yao, Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation，ACM Web Conference (WebConf 2025), Sydney, Australia April 28 - May 2, 2025

Xiaocong Chen, Siyu Wang and Lina Yao, Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation,2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2024), Barcelona, Spain, August 25-29, 2024

Siyu Wang, Xiaocong Chen and Lina Yao, On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems, The 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024), Boise, Idaho, USA, October 21 - 25, 2024

Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Xiwei Xu, Chen Wang, Liming Zhu and Lina Yao Contrastive counterfactual learning for causality-aware interpretable recommender systems. The 32nd ACM International Conference on Information and Knowledge Management(CIKM 2023), University of Birmingham and Eastside Rooms, UK, October 21- 25 2023

Siyu Wang, Xiaocong Chen, Lina Yao and Dietmar Jannach, 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), Taipei, July 23-24, 2023.

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), Taipei, July 23-24, 2023.

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.

Xiaocong Chen, Lina Yao, Julian McAuley, Weili Guan, Xiaojun Chang and Xianzhi Wang, Locality-Sensitive Experience Replay for Online Recommendation. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022),Madrid, July 11-15, 2022.

Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu, Generative Inverse Deep Reinforcement Learning for Online Recommendation. 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), Online, November 1-5, 2021. (Spotlight Presentation)

Xiaocong Chen, Lina Yao, Yu Zhang, Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images. Intelligent Systems For Molecular Biology/European Conference On Computational Biology (ISMB/ECCB 2021), Online, July 25 - 30, 2021. (Poster)

Usama Salama, Xiaocong Chen, Lina Yao, Hye-Young Paik, Xianzhi Wang, Deep Multi-view Spatio-Temporal Network for Urban Crime Prediction. 32th Australasian Database Conference (ADC 2021), Dunedin, New Zealand, January 29 - February 5, 2021.

Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang and Wei Emma Zhang, Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems. Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi’an, China, July 25-30, 2020.

Xiaocong Chen, Chaoran Huang, Lina Yao, Xianzhi Wang, Wei liu and Wenjie Zhang, Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation. 2020 International Joint Conference on Neural Networks (IJCNN 2020), Glasgow, Unite Kingdom, July 19-24, 2020.

Xiang Zhang, Xiaocong Chen, Manqing Dong, Huan Liu, Chang Ge and Lina Yao, Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals. International Conference on Neural Information Processing (ICONIP 2019), Sydney, Australia, December 12-15, 2019

Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge and Manqing Dong, Deep neural network hyperparameter optimization with orthogonal array tuning. International Conference on Neural Information Processing (ICONIP 2019), Sydney, Australia, December 12-15, 2019

Journal Paper

Siyu Wang, Xiaocong Chen and Lina Yao, Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation Systems . ACM Transactions on Intelligent Systems and Technology, 2025

Xiaocong Chen, Siyu Wang, Julian McAuley, Dietmar Jannach and Lina Yao, On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems. ACM Transactions on Information Systems, 2024.

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

Siyu Wang, Xiaocong Chen, Julian McAuley, Sally Cripps and Lina Yao Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning-Based Recommendation. IEEE Transactions on Neural Networks and Learning Systems, 2023.

Xiaocong Chen, Lina Yao, Julian McAuley, Guanglin Zhou and Xianzhi Wang, A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions. Knowledge-based Systems, 2023.

Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Wenjie Zhang and Quan Z Sheng, Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. IEEE Transactions on Knowledge and Data Engineering, 2022.

Xiaocong Chen, Lina Yao, Tao Zhou, Jinming Dong and Yu Zhang, Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images. Pattern Recognition, 113, p.107826, 2021.

Xiaocong Chen, Yun Li, Lina Yao, Ehsan Adeli and Yu Zhang, Generative Adversarial U-Net for Domain-free Medical Image Augmentation Pattern Recognition Letter, 2021.