Xiaocong Chen - RankMe

62 papers A* 7A 6B 3C 1Misc 2Journal 37Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Computational Modeling of Tonal Encoding in Disyllabic Mandarin Word Production. CogSci Jiabing Pan, Xiaocong Chen, Caicai Zhang
2025	A	`conf`	Diffusion Policies for Risk-Averse Behavior Modeling in Offline Reinforcement Learning. IROS Xiaocong Chen, Siyu Wang, Tong Yu, Lina Yao
2025	Misc	`conf`	Distributional Offline Reinforcement Learning for Recommender Systems. ADC Xiaocong Chen, Siyu Wang, Lina Yao
2025	A	`conf`	Energy-Guided Diffusion Sampling for Long-Term User Behavior Prediction in Reinforcement Learning-based Recommendation. CIKM Xiaocong Chen, Siyu Wang, Lina Yao
2025	J	`jnl`	Energy-Guided Diffusion Sampling for Long-Term User Behavior Prediction in Reinforcement Learning-based Recommendation. CoRR Xiaocong Chen, Siyu Wang, Lina Yao
2025	B	`conf`	Language Control during Bilingual Word Production in Cantonese-English Speaking Autistic and Typically Developing Children. CogSci Ruofan Wu, Haoyan Ge, Xiaocong Chen, Caicai Zhang
2025	A	`conf`	Maximum In-Support Return Modeling for Dynamic Recommendation with Language Model Prior. CIKM Xiaocong Chen, Siyu Wang, Lina Yao
2025	J	`jnl`	Maximum In-Support Return Modeling for Dynamic Recommendation with Language Model Prior. CoRR Xiaocong Chen, Siyu Wang, Lina Yao
2025	J	`jnl`	Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning-Based Recommendation. IEEE Trans. Neural Networks Learn. Syst. Siyu Wang, Xiaocong Chen, Julian J. McAuley, Sally Cripps, Lina Yao
2025	A*	`conf`	Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation. WWW Siyu Wang, Xiaocong Chen, Lina Yao
2025	J	`jnl`	Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation. CoRR Siyu Wang, Xiaocong Chen, Lina Yao
2025	J	`jnl`	Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning-Based Recommendation Systems. ACM Trans. Intell. Syst. Technol. Siyu Wang, Xiaocong Chen, Lina Yao
2024	—	`conf`	Community-Guided Contrastive Learning with Anomaly-Aware Reconstruction for Anomaly Detection on Attributed Networks. DASFAA (7) Yang Wang, Xinye Wang, Chengxin He, Xiaocong Chen, Zhaohang Luo, Lei Duan, Jie Zuo
2024	A*	`conf`	Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation. KDD Xiaocong Chen, Siyu Wang, Lina Yao
2024	J	`jnl`	Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation. CoRR Xiaocong Chen, Siyu Wang, Lina Yao
2024	A	`conf`	On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems. CIKM Siyu Wang, Xiaocong Chen, Lina Yao
2024	J	`jnl`	On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems. CoRR Siyu Wang, Xiaocong Chen, Lina Yao
2024	J	`jnl`	On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems. ACM Trans. Inf. Syst. Xiaocong Chen, Siyu Wang, Julian J. McAuley, Dietmar Jannach, Lina Yao
2024	J	`jnl`	Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation Systems. CoRR Siyu Wang, Xiaocong Chen, Lina Yao
2024	J	`jnl`	Uncertainty-aware Distributional Offline Reinforcement Learning. CoRR Xiaocong Chen, Siyu Wang, Tong Yu, Lina Yao
2023	A*	`conf`	Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning. SIGIR Siyu Wang, Xiaocong Chen, Dietmar Jannach, Lina Yao
2023	J	`jnl`	Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning. CoRR Siyu Wang, Xiaocong Chen, Dietmar Jannach, Lina Yao
2023	A*	`conf`	Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation. SIGIR Siyu Wang, Xiaocong Chen, Quan Z. Sheng, Yihong Zhang, Lina Yao
2023	J	`jnl`	Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation. CoRR Siyu Wang, Xiaocong Chen, Quan Z. Sheng, Yihong Zhang, Lina Yao
2023	A	`conf`	Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems. CIKM Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Xiwei Xu, Chen Wang, Liming Zhu, Lina Yao
2023	J	`jnl`	Deep reinforcement learning in recommender systems: A survey and new perspectives. Knowl. Based Syst. Xiaocong Chen, Lina Yao, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang
2023	J	`jnl`	Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. IEEE Trans. Knowl. Data Eng. Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Quan Z. Sheng
2023	J	`jnl`	Intrinsically motivated reinforcement learning based recommendation with counterfactual data augmentation. World Wide Web (WWW) Xiaocong Chen, Siyu Wang, Lianyong Qi, Yong Li, Lina Yao
2023	—	`conf`	Learning Enhanced Representations via Contrasting for Multi-view Outlier Detection. DASFAA (4) Xiaocong Chen, Xinye Wang, Yang Wang, Chao Han, Lei Duan
2023	J	`jnl`	On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems. CoRR Xiaocong Chen, Siyu Wang, Julian J. McAuley, Dietmar Jannach, Lina Yao
2023	J	`jnl`	Security alert: Generalized deep multi-view representation learning for crime forecasting. Comput. Intell. Ziwan Zheng, Yu Xia, Xiaocong Chen, Junwei Yao
2023	—	`—`	Towards Data-efficient Dynamic Recommender Systems for Personalised Collaborative Intelligence. Xiaocong Chen
2022	J	`jnl`	Adversarial Robustness of Deep Reinforcement Learning Based Dynamic Recommender Systems. Frontiers Big Data Siyu Wang, Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Quan Z. Sheng
2022	J	`jnl`	Deep Reinforcement Learning for Dynamic Recommendation with Model-agnostic Counterfactual Policy Synthesis. CoRR Siyu Wang, Xiaocong Chen, Lina Yao, Julian J. McAuley
2022	A*	`conf`	Empowerment-driven Policy Gradient Learning with Counterfactual Augmentation in Recommender Systems. ICDM Xiaocong Chen, Lina Yao, Xiaojun Chang, Siyu Wang
2022	J	`jnl`	Generative adversarial U-Net for domain-free few-shot medical diagnosis. Pattern Recognit. Lett. Xiaocong Chen, Yun Li, Lina Yao, Ehsan Adeli, Yu Zhang, Xianzhi Wang
2022	J	`jnl`	Interventional Recommendation with Contrastive Counterfactual Learning for Better Understanding User Preferences. CoRR Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu
2022	J	`jnl`	Intrinsically Motivated Reinforcement Learning based Recommendation with Counterfactual Data Augmentation. CoRR Xiaocong Chen, Siyu Wang, Lina Yao, Lianyong Qi, Yong Li
2022	A*	`conf`	Locality-Sensitive State-Guided Experience Replay Optimization for Sparse Rewards in Online Recommendation. SIGIR Xiaocong Chen, Lina Yao, Julian J. McAuley, Weili Guan, Xiaojun Chang, Xianzhi Wang
2022	—	`conf`	MORO: A Multi-behavior Graph Contrast Network for Recommendation. APWeb/WAIM (3) Weipeng Jiang, Lei Duan, Xuefeng Ding, Xiaocong Chen
2022	J	`jnl`	Model-agnostic Counterfactual Synthesis Policy for Interactive Recommendation. CoRR Siyu Wang, Xiaocong Chen, Lina Yao
2021	J	`jnl`	A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions. CoRR Xiaocong Chen, Lina Yao, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang
2021	J	`jnl`	Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems. CoRR Siyu Wang, Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Quan Z. Sheng
2021	Misc	`conf`	Deep Multi-view Spatio-Temporal Network for Urban Crime Prediction. ADC Usama Salama, Xiaocong Chen, Lina Yao, Hye-Young Paik, Xianzhi Wang
2021	J	`jnl`	Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. CoRR Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Wenjie Zhang, Quan Z. Sheng
2021	J	`jnl`	Generative Adversarial U-Net for Domain-free Medical Image Augmentation. CoRR Xiaocong Chen, Yun Li, Lina Yao, Ehsan Adeli, Yu Zhang
2021	A	`conf`	Generative Inverse Deep Reinforcement Learning for Online Recommendation. CIKM Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu
2021	J	`jnl`	Locality-Sensitive Experience Replay for Online Recommendation. CoRR Xiaocong Chen, Lina Yao, Xianzhi Wang, Julian J. McAuley
2021	J	`jnl`	Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images. Pattern Recognit. Xiaocong Chen, Lina Yao, Tao Zhou, Jinming Dong, Yu Zhang
2021	—	`conf`	RAU: An Interpretable Automatic Infection Diagnosis of COVID-19 Pneumonia with Residual Attention U-Net. WISE (2) Xiaocong Chen, Lina Yao, Yu Zhang
2020	A*	`conf`	Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems. SIGIR Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Wei Emma Zhang
2020	J	`jnl`	Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems. CoRR Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Wei Emma Zhang
2020	J	`jnl`	Generative Inverse Deep Reinforcement Learning for Online Recommendation. CoRR Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu
2020	B	`conf`	Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation. IJCNN Xiaocong Chen, Chaoran Huang, Lina Yao, Xianzhi Wang, Wei Liu, Wenjie Zhang
2020	J	`jnl`	Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation. CoRR Xiaocong Chen, Chaoran Huang, Lina Yao, Xianzhi Wang, Wei Liu, Wenjie Zhang
2020	J	`jnl`	Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images. CoRR Xiaocong Chen, Lina Yao, Tao Zhou, Jinming Dong, Yu Zhang
2020	J	`jnl`	Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images. CoRR Xiaocong Chen, Lina Yao, Yu Zhang
2019	—	`conf`	Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning. ICONIP (4) Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, Manqing Dong
2019	J	`jnl`	Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning. CoRR Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, Manqing Dong
2019	C	`conf`	Expert2Vec: Distributed Expert Representation Learning in Question Answering Community. ADMA Xiaocong Chen, Chaoran Huang, Xiang Zhang, Xianzhi Wang, Wei Liu, Lina Yao
2019	J	`jnl`	Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals. Aust. J. Intell. Inf. Process. Syst. Xiang Zhang, Xiaocong Chen, Manqing Dong, Huan Liu, Chang Ge, Lina Yao
2019	J	`jnl`	Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals. CoRR Xiang Zhang, Xiaocong Chen, Manqing Dong, Huan Liu, Chang Ge, Lina Yao