| 2026 | SIGIR | Advantage-Conditioned Flow Policy for Offline Reinforcement Learning in Recommendation. | Xiaocong Chen, Siyu Wang, Lina Yao |
| 2025 | ADC | Distributional Offline Reinforcement Learning for Recommender Systems. | Xiaocong Chen, Siyu Wang, Lina Yao |
| 2025 | CIKM | Energy-Guided Diffusion Sampling for Long-Term User Behavior Prediction in Reinforcement Learning-based Recommendation. | Xiaocong Chen, Siyu Wang, Lina Yao |
| 2025 | CIKM | Maximum In-Support Return Modeling for Dynamic Recommendation with Language Model Prior. | Xiaocong Chen, Siyu Wang, Lina Yao |
| 2025 | CogSci | Computational Modeling of Tonal Encoding in Disyllabic Mandarin Word Production. | Jiabing Pan, Xiaocong Chen, Caicai Zhang |
| 2025 | CogSci | Language Control during Bilingual Word Production in Cantonese-English Speaking Autistic and Typically Developing Children. | Ruofan Wu, Haoyan Ge, Xiaocong Chen, Caicai Zhang |
| 2025 | IROS | Diffusion Policies for Risk-Averse Behavior Modeling in Offline Reinforcement Learning. | Xiaocong Chen, Siyu Wang, Tong Yu, Lina Yao |
| 2025 | WWW | Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation. | Siyu Wang, Xiaocong Chen, Lina Yao |
| 2024 | CIKM | On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems. | Siyu Wang, Xiaocong Chen, Lina Yao |
| 2024 | DASFAA | 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 |
| 2024 | KDD | Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation. | Xiaocong Chen, Siyu Wang, Lina Yao |
| 2023 | CIKM | Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems. | Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Xiwei Xu, Chen Wang, Liming Zhu, Lina Yao |
| 2023 | DASFAA | Learning Enhanced Representations via Contrasting for Multi-view Outlier Detection. | Xiaocong Chen, Xinye Wang, Yang Wang, Chao Han, Lei Duan |
| 2023 | SIGIR | Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning. | Siyu Wang, Xiaocong Chen, Dietmar Jannach, Lina Yao |
| 2023 | SIGIR | Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation. | Siyu Wang, Xiaocong Chen, Quan Z. Sheng, Yihong Zhang, Lina Yao |
| 2022 | APWEB | MORO: A Multi-behavior Graph Contrast Network for Recommendation. | Weipeng Jiang, Lei Duan, Xuefeng Ding, Xiaocong Chen |
| 2022 | ICDM | Empowerment-driven Policy Gradient Learning with Counterfactual Augmentation in Recommender Systems. | Xiaocong Chen, Lina Yao, Xiaojun Chang, Siyu Wang |
| 2022 | SIGIR | Locality-Sensitive State-Guided Experience Replay Optimization for Sparse Rewards in Online Recommendation. | Xiaocong Chen, Lina Yao, Julian J. McAuley, Weili Guan, Xiaojun Chang, Xianzhi Wang |
| 2021 | ADC | Deep Multi-view Spatio-Temporal Network for Urban Crime Prediction. | Usama Salama, Xiaocong Chen, Lina Yao, Hye-Young Paik, Xianzhi Wang |
| 2021 | CIKM | Generative Inverse Deep Reinforcement Learning for Online Recommendation. | Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu |
| 2021 | WISE | RAU: An Interpretable Automatic Infection Diagnosis of COVID-19 Pneumonia with Residual Attention U-Net. | Xiaocong Chen, Lina Yao, Yu Zhang |
| 2020 | IJCNN | Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation. | Xiaocong Chen, Chaoran Huang, Lina Yao, Xianzhi Wang, Wei Liu, Wenjie Zhang |
| 2020 | SIGIR | Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems. | Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Wei Emma Zhang |
| 2019 | ADMA | Expert2Vec: Distributed Expert Representation Learning in Question Answering Community. | Xiaocong Chen, Chaoran Huang, Xiang Zhang, Xianzhi Wang, Wei Liu, Lina Yao |
| 2019 | ICONIP | Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning. | Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, Manqing Dong |