Xiaocong Chen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 46

Top Topics

Reinforcement Learning

Shape Reconstruction

Outlier Detection

Top Venues

Publications

Xiaocong Chen, Siyu Wang, Tong Yu, Lina Yao
Uncertainty-aware Distributional Offline Reinforcement Learning. CoRR (2024)
Siyu Wang, Xiaocong Chen, Lina Yao
On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems. CoRR (2024)
Siyu Wang, Xiaocong Chen, Lina Yao
Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation Systems. CoRR (2024)
Xiaocong Chen, Siyu Wang, Lina Yao
Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation. KDD (2024)
Xiaocong Chen, Siyu Wang, Lina Yao
Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation. CoRR (2024)
Xiaocong Chen, Lina Yao, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang
Deep reinforcement learning in recommender systems: A survey and new perspectives. Knowl. Based Syst. 264 (2023)
Siyu Wang, Xiaocong Chen, Quan Z. Sheng, Yihong Zhang, Lina Yao
Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation. CoRR (2023)
Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Quan Z. Sheng
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Ziwan Zheng, Yu Xia, Xiaocong Chen, Junwei Yao
Security alert: Generalized deep multi-view representation learning for crime forecasting. Comput. Intell. 39 (1) (2023)
Xiaocong Chen, Siyu Wang, Lianyong Qi, Yong Li, Lina Yao
Intrinsically motivated reinforcement learning based recommendation with counterfactual data augmentation. World Wide Web (WWW) 26 (5) (2023)
Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Xiwei Xu, Chen Wang, Liming Zhu, Lina Yao
Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems. CIKM (2023)
Xiaocong Chen, Xinye Wang, Yang Wang, Chao Han, Lei Duan
Learning Enhanced Representations via Contrasting for Multi-view Outlier Detection. DASFAA (4) (2023)
Xiaocong Chen, Siyu Wang, Julian J. McAuley, Dietmar Jannach, Lina Yao
On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems. CoRR (2023)
Siyu Wang, Xiaocong Chen, Dietmar Jannach, Lina Yao
Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning. CoRR (2023)
Siyu Wang, Xiaocong Chen, Dietmar Jannach, Lina Yao
Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning. SIGIR (2023)
Siyu Wang, Xiaocong Chen, Quan Z. Sheng, Yihong Zhang, Lina Yao
Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation. SIGIR (2023)
Siyu Wang, Xiaocong Chen, Lina Yao, Julian J. McAuley
Deep Reinforcement Learning for Dynamic Recommendation with Model-agnostic Counterfactual Policy Synthesis. CoRR (2022)
Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu
Interventional Recommendation with Contrastive Counterfactual Learning for Better Understanding User Preferences. CoRR (2022)
Xiaocong Chen, Yun Li, Lina Yao, Ehsan Adeli, Yu Zhang, Xianzhi Wang
Generative adversarial U-Net for domain-free few-shot medical diagnosis. Pattern Recognit. Lett. 157 (2022)
Weipeng Jiang, Lei Duan, Xuefeng Ding, Xiaocong Chen
MORO: A Multi-behavior Graph Contrast Network for Recommendation. APWeb/WAIM (3) (2022)
Xiaocong Chen, Lina Yao, Julian J. McAuley, Weili Guan, Xiaojun Chang, Xianzhi Wang
Locality-Sensitive State-Guided Experience Replay Optimization for Sparse Rewards in Online Recommendation. SIGIR (2022)
Xiaocong Chen, Siyu Wang, Lina Yao, Lianyong Qi, Yong Li
Intrinsically Motivated Reinforcement Learning based Recommendation with Counterfactual Data Augmentation. CoRR (2022)
Siyu Wang, Xiaocong Chen, Lina Yao
Model-agnostic Counterfactual Synthesis Policy for Interactive Recommendation. CoRR (2022)
Xiaocong Chen, Lina Yao, Xiaojun Chang, Siyu Wang
Empowerment-driven Policy Gradient Learning with Counterfactual Augmentation in Recommender Systems. ICDM (2022)
Siyu Wang, Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Quan Z. Sheng
Adversarial Robustness of Deep Reinforcement Learning Based Dynamic Recommender Systems. Frontiers Big Data 5 (2022)
Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Wenjie Zhang, Quan Z. Sheng
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. CoRR (2021)
Siyu Wang, Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Quan Z. Sheng
Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems. CoRR (2021)
Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu
Generative Inverse Deep Reinforcement Learning for Online Recommendation. CIKM (2021)
Xiaocong Chen, Yun Li, Lina Yao, Ehsan Adeli, Yu Zhang
Generative Adversarial U-Net for Domain-free Medical Image Augmentation. CoRR (2021)
Xiaocong Chen, Lina Yao, Xianzhi Wang, Julian McAuley
Locality-Sensitive Experience Replay for Online Recommendation. CoRR (2021)
Xiaocong Chen, Lina Yao, Julian McAuley, Guanglin Zhou, Xianzhi Wang
A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions. CoRR (2021)
Xiaocong Chen, Lina Yao, Tao Zhou, Jinming Dong, Yu Zhang
Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images. Pattern Recognit. 113 (2021)
Xiaocong Chen, Lina Yao, Yu Zhang
RAU: An Interpretable Automatic Infection Diagnosis of COVID-19 Pneumonia with Residual Attention U-Net. WISE (2) (2021)
Usama Salama, Xiaocong Chen, Lina Yao, Hye-Young Paik, Xianzhi Wang
Deep Multi-view Spatio-Temporal Network for Urban Crime Prediction. ADC (2021)
Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Wei Emma Zhang
Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems. CoRR (2020)
Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Wei Emma Zhang
Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems. SIGIR (2020)
Xiaocong Chen, Chaoran Huang, Lina Yao, Xianzhi Wang, Wei Liu, Wenjie Zhang
Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation. CoRR (2020)
Xiaocong Chen, Lina Yao, Yu Zhang
Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images. CoRR (2020)
Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu
Generative Inverse Deep Reinforcement Learning for Online Recommendation. CoRR (2020)
Xiaocong Chen, Chaoran Huang, Lina Yao, Xianzhi Wang, Wei Liu, Wenjie Zhang
Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation. IJCNN (2020)
Xiaocong Chen, Lina Yao, Tao Zhou, Jinming Dong, Yu Zhang
Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images. CoRR (2020)
Xiaocong Chen, Chaoran Huang, Xiang Zhang, Xianzhi Wang, Wei Liu, Lina Yao
Expert2Vec: Distributed Expert Representation Learning in Question Answering Community. ADMA (2019)
Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, Manqing Dong
Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning. CoRR (2019)
Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, Manqing Dong
Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning. ICONIP (4) (2019)
Xiang Zhang, Xiaocong Chen, Manqing Dong, Huan Liu, Chang Ge, Lina Yao
Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals. Aust. J. Intell. Inf. Process. Syst. 15 (2) (2019)
Xiang Zhang, Xiaocong Chen, Manqing Dong, Huan Liu, Chang Ge, Lina Yao
Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals. CoRR (2019)