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2020 – today
- 2024
[c16]Yang Wang, Xinye Wang, Chengxin He, Xiaocong Chen, Zhaohang Luo, Lei Duan, Jie Zuo:
Community-Guided Contrastive Learning with Anomaly-Aware Reconstruction for Anomaly Detection on Attributed Networks. DASFAA (7) 2024: 199-209- [c15]Xiaocong Chen
, Siyu Wang, Lina Yao:
Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation. KDD 2024: 376-384 - [i23]Siyu Wang, Xiaocong Chen, Lina Yao:
Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation Systems. CoRR abs/2403.17634 (2024) - [i22]Xiaocong Chen, Siyu Wang, Tong Yu, Lina Yao:
Uncertainty-aware Distributional Offline Reinforcement Learning. CoRR abs/2403.17646 (2024) - [i21]Xiaocong Chen, Siyu Wang, Lina Yao:
Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation. CoRR abs/2406.00725 (2024) - [i20]Siyu Wang, Xiaocong Chen, Lina Yao:
On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems. CoRR abs/2407.13091 (2024) - 2023
- [b1]Xiaocong Chen:
Towards Data-efficient Dynamic Recommender Systems for Personalised Collaborative Intelligence. University of New South Wales, Sydney, Australia, 2023 - [j8]Ziwan Zheng, Yu Xia, Xiaocong Chen, Junwei Yao:
Security alert: Generalized deep multi-view representation learning for crime forecasting. Comput. Intell. 39(1): 4-17 (2023) - [j7]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: 110335 (2023) - [j6]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): 9878-9889 (2023) - [j5]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): 3253-3274 (2023) - [c14]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: 3564-3573 - [c13]Xiaocong Chen, Xinye Wang, Yang Wang, Chao Han, Lei Duan:
Learning Enhanced Representations via Contrasting for Multi-view Outlier Detection. DASFAA (4) 2023: 110-120 - [c12]Siyu Wang, Xiaocong Chen, Dietmar Jannach, Lina Yao:
Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning. SIGIR 2023: 1599-1608 - [c11]Siyu Wang, Xiaocong Chen, Quan Z. Sheng, Yihong Zhang, Lina Yao:
Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation. SIGIR 2023: 1874-1878 - [i19]Siyu Wang, Xiaocong Chen, Dietmar Jannach, Lina Yao:
Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning. CoRR abs/2304.07920 (2023) - [i18]Siyu Wang, Xiaocong Chen, Quan Z. Sheng, Yihong Zhang, Lina Yao:
Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation. CoRR abs/2304.07922 (2023) - [i17]Xiaocong Chen, Siyu Wang, Julian J. McAuley, Dietmar Jannach, Lina Yao:
On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems. CoRR abs/2308.11336 (2023) - 2022
- [j4]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) - [j3]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: 112-118 (2022) - [c10]Weipeng Jiang, Lei Duan, Xuefeng Ding, Xiaocong Chen:
MORO: A Multi-behavior Graph Contrast Network for Recommendation. APWeb/WAIM (3) 2022: 117-131 - [c9]Xiaocong Chen, Lina Yao, Xiaojun Chang, Siyu Wang:
Empowerment-driven Policy Gradient Learning with Counterfactual Augmentation in Recommender Systems. ICDM 2022: 885-890 - [c8]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: 1316-1325 - [i16]Siyu Wang, Xiaocong Chen, Lina Yao:
Model-agnostic Counterfactual Synthesis Policy for Interactive Recommendation. CoRR abs/2204.00308 (2022) - [i15]Siyu Wang, Xiaocong Chen, Lina Yao, Julian J. McAuley:
Deep Reinforcement Learning for Dynamic Recommendation with Model-agnostic Counterfactual Policy Synthesis. CoRR abs/2208.05142 (2022) - [i14]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 abs/2208.06746 (2022) - [i13]Xiaocong Chen, Siyu Wang, Lina Yao, Lianyong Qi, Yong Li:
Intrinsically Motivated Reinforcement Learning based Recommendation with Counterfactual Data Augmentation. CoRR abs/2209.08228 (2022) - 2021
- [j2]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: 107826 (2021) - [c7]Usama Salama, Xiaocong Chen, Lina Yao, Hye-Young Paik, Xianzhi Wang:
Deep Multi-view Spatio-Temporal Network for Urban Crime Prediction. ADC 2021: 50-61 - [c6]Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu:
Generative Inverse Deep Reinforcement Learning for Online Recommendation. CIKM 2021: 201-210 - [c5]Xiaocong Chen, Lina Yao, Yu Zhang:
RAU: An Interpretable Automatic Infection Diagnosis of COVID-19 Pneumonia with Residual Attention U-Net. WISE (2) 2021: 122-136 - [i12]Xiaocong Chen, Yun Li, Lina Yao, Ehsan Adeli, Yu Zhang:
Generative Adversarial U-Net for Domain-free Medical Image Augmentation. CoRR abs/2101.04793 (2021) - [i11]Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Wenjie Zhang, Quan Z. Sheng:
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. CoRR abs/2105.00822 (2021) - [i10]Xiaocong Chen, Lina Yao, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang:
A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions. CoRR abs/2109.03540 (2021) - [i9]Xiaocong Chen, Lina Yao, Xianzhi Wang, Julian J. McAuley:
Locality-Sensitive Experience Replay for Online Recommendation. CoRR abs/2110.10850 (2021) - [i8]Siyu Wang, Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Quan Z. Sheng:
Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems. CoRR abs/2112.00973 (2021) - 2020
- [c4]Xiaocong Chen, Chaoran Huang, Lina Yao, Xianzhi Wang, Wei Liu, Wenjie Zhang:
Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation. IJCNN 2020: 1-8 - [c3]Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Wei Emma Zhang:
Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems. SIGIR 2020: 1669-1672 - [i7]Xiaocong Chen, Lina Yao, Yu Zhang:
Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images. CoRR abs/2004.05645 (2020) - [i6]Xiaocong Chen, Chaoran Huang, Lina Yao, Xianzhi Wang, Wei Liu, Wenjie Zhang:
Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation. CoRR abs/2004.08068 (2020) - [i5]Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Wei Emma Zhang:
Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems. CoRR abs/2006.07934 (2020) - [i4]Xiaocong Chen, Lina Yao, Tao Zhou, Jinming Dong, Yu Zhang:
Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images. CoRR abs/2006.13276 (2020) - [i3]Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu:
Generative Inverse Deep Reinforcement Learning for Online Recommendation. CoRR abs/2011.02248 (2020)
2010 – 2019
- 2019
- [j1]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): 36-43 (2019) - [c2]Xiaocong Chen, Chaoran Huang, Xiang Zhang, Xianzhi Wang, Wei Liu, Lina Yao:
Expert2Vec: Distributed Expert Representation Learning in Question Answering Community. ADMA 2019: 288-301 - [c1]Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, Manqing Dong:
Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning. ICONIP (4) 2019: 287-295 - [i2]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 abs/1907.13351 (2019) - [i1]Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, Manqing Dong:
Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning. CoRR abs/1907.13359 (2019)
Coauthor Index
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last updated on 2024-09-13 01:37 CEST by the dblp team
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