Research output per year
Research output per year
Personal profile
Personal profile
Asst. Prof. Dr. CHEN is an Assistant Professor at the Entrepreneur College (Taicang) at Xi’an Jiaotong-Liverpool University. He earned his Ph.D. degree in Computer Science from the University of South Australia (UniSA). His current research interests include deep reinforcement learning, multi-agent reinforcement learning and transfer learning.He was a Senior Java Back-end Engineer and Algorithm Engineer at the Commercial Technology Department, Strategy Group of 58.com. He received the B.S. degree in telecomunication engineer with management from Queen Mary University, and the B.S. and M.S. degrees in communications and information systems from Beijing University of Posts and Telecommunications, Beijing, China.
Research interests
Deep Reinforcement Learning; LLM; Transfer Learning; Causal Inference
Teaching
Awards and honours
Enterprise Research Scholarship UniSA Funding
Related documents
Education/Academic qualification
Bachelor, Beijing University of Posts and Telecommunications
Master, Localization Methods Based On SVM Algorithms, Beijing University of Posts and Telecommunications
PhD, Towards Efficient Deep Reinforcement Learning in Complex and Dynamic Tasks, University of South Australia
Research areas
- reinforcement learning
- AI
Person Types
- Staff
Fingerprint
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
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SATF: A Scalable Attentive Transfer Framework for Efficient Multiagent Reinforcement Learning
Chen, B., Cao, Z. & Bai, Q., 2025, In: IEEE Transactions on Neural Networks and Learning Systems. 36, 4, p. 6627-6641 15 p.Research output: Contribution to journal › Article › peer-review
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HLG: Bridging Human Heuristic Knowledge and Deep Reinforcement Learning for Optimal Agent Performance
Chen, B. & Cao, Z., 2024, In: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS. 2024-May, p. 2189-2191 3 p.Research output: Contribution to journal › Conference article › peer-review
1 Citation (Scopus) -
Hlg: Bridging human heuristic knowledge and deep reinforcement learning for optimal agent performance
Chen, B., 2024, AAMAS.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Satf: A scalable attentive transfer framework for efficient multiagent reinforcement learning
Chen, B., 2024, In: IEEE TNNLS.Research output: Contribution to journal › Article › peer-review
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Robust solutions to fuzzy one-class support vector machine
Chen, B., 2016, In: Pattern Recognition Letters.Research output: Contribution to journal › Article › peer-review
10 Citations (Scopus)
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Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS (Journal)
Bin Chen (Reviewer)
2024Activity: Peer-review and editorial work of publications › Publication Peer-review
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IEEE TNNLS (Journal)
Bin Chen (Reviewer)
2023 → …Activity: Peer-review and editorial work of publications › Publication Peer-review
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AAAI press (Publisher)
Bin Chen (Reviewer)
2022Activity: Peer-review and editorial work of publications › Publication Peer-review