Xiaocong Chen

According to our database, Xiaocong Chen authored at least 37 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Uncertainty-aware Distributional Offline Reinforcement Learning.

Xiaocong Chen, Siyu Wang, Tong Yu, Lina Yao

CoRR, 2024

Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation Systems.

Siyu Wang, Xiaocong Chen, Lina Yao

CoRR, 2024

Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation.

Xiaocong Chen, Siyu Wang, Lina Yao

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Proceedings of the Database Systems for Advanced Applications, 2024

On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems.

Siyu Wang, Xiaocong Chen, Lina Yao

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference.

Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Quan Z. Sheng

IEEE Trans. Knowl. Data Eng., October, 2023

Intrinsically motivated reinforcement learning based recommendation with counterfactual data augmentation.

Xiaocong Chen, Siyu Wang, Lianyong Qi, Yong Li, Lina Yao

World Wide Web (WWW), September, 2023

Deep reinforcement learning in recommender systems: A survey and new perspectives.

Xiaocong Chen, Lina Yao, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang

Knowl. Based Syst., March, 2023

Security alert: Generalized deep multi-view representation learning for crime forecasting.

Ziwan Zheng, Yu Xia, Xiaocong Chen, Junwei Yao

Comput. Intell., February, 2023

Towards Data-efficient Dynamic Recommender Systems for Personalised Collaborative Intelligence.

Xiaocong Chen

PhD thesis, 2023

On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems.

Xiaocong Chen, Siyu Wang, Julian J. McAuley, Dietmar Jannach, Lina Yao

CoRR, 2023

Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation.

Siyu Wang, Xiaocong Chen, Quan Z. Sheng, Yihong Zhang, Lina Yao

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning.

Siyu Wang, Xiaocong Chen, Dietmar Jannach, Lina Yao

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Learning Enhanced Representations via Contrasting for Multi-view Outlier Detection.

Xiaocong Chen, Xinye Wang, Yang Wang, Chao Han, Lei Duan

Proceedings of the Database Systems for Advanced Applications, 2023

Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems.

Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Xiwei Xu, Chen Wang, Liming Zhu, Lina Yao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Generative adversarial U-Net for domain-free few-shot medical diagnosis.

Xiaocong Chen, Yun Li, Lina Yao, Ehsan Adeli, Yu Zhang, Xianzhi Wang

Pattern Recognit. Lett., 2022

Adversarial Robustness of Deep Reinforcement Learning Based Dynamic Recommender Systems.

Siyu Wang, Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Quan Z. Sheng

Frontiers Big Data, 2022

Interventional Recommendation with Contrastive Counterfactual Learning for Better Understanding User Preferences.

Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu

CoRR, 2022

Deep Reinforcement Learning for Dynamic Recommendation with Model-agnostic Counterfactual Policy Synthesis.

Siyu Wang, Xiaocong Chen, Lina Yao, Julian J. McAuley

CoRR, 2022

Model-agnostic Counterfactual Synthesis Policy for Interactive Recommendation.

Siyu Wang, Xiaocong Chen, Lina Yao

CoRR, 2022

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

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Empowerment-driven Policy Gradient Learning with Counterfactual Augmentation in Recommender Systems.

Xiaocong Chen, Lina Yao, Xiaojun Chang, Siyu Wang

Proceedings of the IEEE International Conference on Data Mining, 2022

MORO: A Multi-behavior Graph Contrast Network for Recommendation.

Weipeng Jiang, Lei Duan, Xuefeng Ding, Xiaocong Chen

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images.

Xiaocong Chen, Lina Yao, Tao Zhou, Jinming Dong, Yu Zhang

Pattern Recognit., 2021

Locality-Sensitive Experience Replay for Online Recommendation.

Xiaocong Chen, Lina Yao, Xianzhi Wang, Julian J. McAuley

CoRR, 2021

A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions.

Xiaocong Chen, Lina Yao, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang

CoRR, 2021

Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference.

Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Wenjie Zhang, Quan Z. Sheng

CoRR, 2021

Generative Adversarial U-Net for Domain-free Medical Image Augmentation.

Xiaocong Chen, Yun Li, Lina Yao, Ehsan Adeli, Yu Zhang

CoRR, 2021

RAU: An Interpretable Automatic Infection Diagnosis of COVID-19 Pneumonia with Residual Attention U-Net.

Xiaocong Chen, Lina Yao, Yu Zhang

Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Generative Inverse Deep Reinforcement Learning for Online Recommendation.

Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Deep Multi-view Spatio-Temporal Network for Urban Crime Prediction.

Usama Salama, Xiaocong Chen, Lina Yao, Hye-Young Paik, Xianzhi Wang

Proceedings of the Databases Theory and Applications, 2021

2020

Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images.

Xiaocong Chen, Lina Yao, Yu Zhang

CoRR, 2020

Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems.

Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Wei Emma Zhang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation.

Xiaocong Chen, Chaoran Huang, Lina Yao, Xianzhi Wang, Wei Liu, Wenjie Zhang

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals.

Xiang Zhang, Xiaocong Chen, Manqing Dong, Huan Liu, Chang Ge, Lina Yao

Aust. J. Intell. Inf. Process. Syst., 2019

Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning.

Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, Manqing Dong

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Expert2Vec: Distributed Expert Representation Learning in Question Answering Community.

Xiaocong Chen, Chaoran Huang, Xiang Zhang, Xianzhi Wang, Wei Liu, Lina Yao

Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019