Expert2Vec: Distributed Expert Representation Learning in Question Answering Community. - Xiaocong Chen; Chaoran Huang 001; Xiang Zhang 012; Xianzhi Wang 001; Wei Liu 101; Lina Yao 001 (ADMA, 2019)

Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning. - Xiang Zhang 012; Xiaocong Chen; Lina Yao 001; Chang Ge 004; Manqing Dong (ICONIP (4), 2019)

Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals. - Xiang Zhang 012; Xiaocong Chen; Manqing Dong; Huan Liu 012; Chang Ge 004; Lina Yao 001 (Aust. J. Intell. Inf. Process. Syst., 2019)

Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation. - Xiaocong Chen; Chaoran Huang 001; Lina Yao 001; Xianzhi Wang 001; Wei Liu 101; Wenjie Zhang 001 (IJCNN, 2020)

Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems. - Yuanjiang Cao; Xiaocong Chen; Lina Yao 001; Xianzhi Wang 001; Wei Emma Zhang (SIGIR, 2020)

Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images. - Xiaocong Chen; Lina Yao 001; Yu Zhang (CoRR, 2020)

Deep Multi-view Spatio-Temporal Network for Urban Crime Prediction. - Usama Salama; Xiaocong Chen; Lina Yao 001; Hye-Young Paik; Xianzhi Wang 001 (ADC, 2021)

Generative Inverse Deep Reinforcement Learning for Online Recommendation. - Xiaocong Chen; Lina Yao 001; Aixin Sun; Xianzhi Wang 001; Xiwei Xu 001; Liming Zhu 001 (CIKM, 2021)

RAU: An Interpretable Automatic Infection Diagnosis of COVID-19 Pneumonia with Residual Attention U-Net. - Xiaocong Chen; Lina Yao 001; Yu Zhang (WISE (2), 2021)

Generative Adversarial U-Net for Domain-free Medical Image Augmentation. - Xiaocong Chen; Yun Li; Lina Yao 001; Ehsan Adeli 001; Yu Zhang 009 (CoRR, 2021)

Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. - Xiaocong Chen; Lina Yao 001; Xianzhi Wang 001; Aixin Sun; Wenjie Zhang 001; Quan Z. Sheng (CoRR, 2021)

A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions. - Xiaocong Chen; Lina Yao 001; Julian J. McAuley; Guanglin Zhou; Xianzhi Wang 001 (CoRR, 2021)

Locality-Sensitive Experience Replay for Online Recommendation. - Xiaocong Chen; Lina Yao 001; Xianzhi Wang 001; Julian J. McAuley (CoRR, 2021)

Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images. - Xiaocong Chen; Lina Yao 001; Tao Zhou 002; Jinming Dong; Yu Zhang 009 (Pattern Recognit., 2021)

MORO: A Multi-behavior Graph Contrast Network for Recommendation. - Weipeng Jiang; Lei Duan; Xuefeng Ding 003; Xiaocong Chen (APWeb/WAIM (3), 2022)

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

Locality-Sensitive State-Guided Experience Replay Optimization for Sparse Rewards in Online Recommendation. - Xiaocong Chen; Lina Yao 001; Julian J. McAuley; Weili Guan; Xiaojun Chang; Xianzhi Wang 001 (SIGIR, 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)

Interventional Recommendation with Contrastive Counterfactual Learning for Better Understanding User Preferences. - Guanglin Zhou; Chengkai Huang; Xiaocong Chen; Lina Yao 001; Xiwei Xu 001; Chen Wang 008; Liming Zhu 001 (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)

Generative adversarial U-Net for domain-free few-shot medical diagnosis. - Xiaocong Chen; Yun Li; Lina Yao 001; Ehsan Adeli 001; Yu Zhang 009; Xianzhi Wang 001 (Pattern Recognit. Lett., 2022)

Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems. - Guanglin Zhou; Chengkai Huang; Xiaocong Chen; Xiwei Xu 001; Chen Wang 008; Liming Zhu 001; Lina Yao 001 (CIKM, 2023)

Learning Enhanced Representations via Contrasting for Multi-view Outlier Detection. - Xiaocong Chen; Xinye Wang; Yang Wang; Chao Han; Lei Duan (DASFAA (4), 2023)

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)

Towards Data-efficient Dynamic Recommender Systems for Personalised Collaborative Intelligence. - Xiaocong Chen (2023)

Security alert: Generalized deep multi-view representation learning for crime forecasting. - Ziwan Zheng; Yu Xia; Xiaocong Chen; Junwei Yao (Comput. Intell., 2023)

Deep reinforcement learning in recommender systems: A survey and new perspectives. - Xiaocong Chen; Lina Yao 001; Julian J. McAuley; Guanglin Zhou; Xianzhi Wang 001 (Knowl. Based Syst., 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)

Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. - Xiaocong Chen; Lina Yao 001; Xianzhi Wang 001; Aixin Sun; Quan Z. Sheng (IEEE Trans. Knowl. Data Eng., 2023)

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

Community-Guided Contrastive Learning with Anomaly-Aware Reconstruction for Anomaly Detection on Attributed Networks. - Yang Wang; Xinye Wang; Chengxin He; Xiaocong Chen; Zhaohang Luo; Lei Duan; Jie Zuo (DASFAA (7), 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)

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