Zhihong Deng

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Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
Chang-Dong WangIEEE Senior Member and CCF Distinguished Member, Sun Yat-sen UniversityVerified email at mail.sysu.edu.cn
Jianhuang LaiSun Yat-sen UniversityVerified email at mail.sysu.edu.cn
Ling HuangSouth China Agricultural UniversityVerified email at mail2.sysu.edu.cn
Zhaoran WangAssociate Professor at Northwestern UniversityVerified email at northwestern.edu
Chenjia BaiThe Institute of AI (TeleAI), China TelecomVerified email at chinatelecom.cn
Lingxiao WangNorthwestern UniversityVerified email at u.northwestern.edu
Jing JiangUniversity of Technology SydneyVerified email at uts.edu.au
Zuyue FuNorthwestern UniversityVerified email at u.northwestern.edu
Chengqi ZhangProfessor of Information TechnologyVerified email at uts.edu.au
Guodong LongAssociate Professor, Faculty of Engineering and IT, University of Technology SydneyVerified email at uts.edu.au
Tianyi ZhouAssistant Professor of Computer Science, University of Maryland, College ParkVerified email at umiacs.umd.edu

Zhihong Deng

Faculty of Engineering and Information Technology, University of Technology Syndey

Verified email at student.uts.edu.au - Homepage

reinforcement learning recommender systems causal inference


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Deepcf: A unified framework of representation learning and matching function learning in recommender system ZH Deng, L Huang, CD Wang, JH Lai, SY Philip Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 61-68, 2019	197	2019
Serendipitous recommendation in e-commerce using innovator-based collaborative filtering CD Wang, ZH Deng, JH Lai, SY Philip IEEE transactions on cybernetics 49 (7), 2678-2692, 2018	136	2018
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning C Bai, L Wang, Z Yang, Z Deng, A Garg, P Liu, Z Wang arXiv preprint arXiv:2202.11566, 2022	131	2022
G³SR: Global Graph Guided Session-Based Recommendation ZH Deng, CD Wang, L Huang, JH Lai, SY Philip IEEE transactions on neural networks and learning systems 34 (12), 9671-9684, 2022	33	2022
False Correlation Reduction for Offline Reinforcement Learning Z Deng, Z Fu, L Wang, Z Yang, C Bai, T Zhou, Z Wang, J Jiang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023	15*	2023
Causal Reinforcement Learning: A Survey Z Deng, J Jiang, G Long, C Zhang Transactions on Machine Learning Research, 2023	11	2023
BCFNet: A Balanced Collaborative Filtering Network with Attention Mechanism ZY Hu, J Huang, ZH Deng, CD Wang, L Huang, JH Lai, PS Yu arXiv preprint arXiv:2103.06105, 2021	4	2021
What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning Z Deng, J Jiang, G Long, C Zhang arXiv preprint arXiv:2404.10942, 2024		2024

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