Projects 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, RAG and recommendation system. 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
RAG [Agentic-RAG]
Recommendation System
Deep Reinforcement Learning (DRL)
[Human-in-the-loop DRL, Hierarchical DRL, Causal DRL]
Multi-agent DRL/LLM
Teaching
DTS103TC-2425-S2 Design and Analysis of Algorithms
DTS106TC-2425-S2 Introduction to Databases
DTS108TC Object-Oriented Programming (JAVA)
DTS311TC-2526-S1-Final Year Project
DTS411TC-2526-S1-Dissertation Project
Summer Undergraduate Research Fellowship (SURF)
Office Hour: Tue. 15-17pm Wed. 9-11am D5074 (TC)
Awards and honours
Enterprise Research Scholarship UniSA Funding
Phd thesis nominated to The Ian Davey Research Thesis Prize
"毕业申" - 第六届中国国际“互联网+”大学生创新创业大赛北京赛区 一等奖
Related documents
Education/Academic qualification
Bachelor, Queen Mary University of London, 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
- Deep Reinforcement Learning
- AI Agent
- RAG
- Recommendation System
Person Types
- Staff
Fingerprint
Dive into the research topics where Bin Chen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
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
-
Industrial AI Agents Development Powered by LLMs
Chen, B. (PI), Xu, P. (Team member), Gan, H. S. (Team member) & Liu, Y. (Team member)
1/09/25 → 1/09/28
Project: Collaborative Research Project
-
Large Decision Models: LLMs- and VLMs- Empowered Reinforcement Learning
Chen, B. (PI)
1/07/25 → 30/06/28
Project: Internal Research Project
-
XJTLU-Deepleaper Instant Knowledge Engine Joint Laboratory
Zhou, M. (PI), Chen, B. (Team member), Su, J. (Team member), Jiang, Z. (Team member), Li, C. (Team member), Wang, R. (Team member), Zhang, X. (Team member), Nan, J. (Team member) & Yan, J. (Team member)
1/06/25 → 31/05/30
Project: Collaborative Research Project
-
Huawei Innovation Research Program (HIRPO20140512)
Chen, B. (PI)
Project: Collaborative Research Project
-
National Natural Science Foundation of China (no. 61471058 and no. 61501041)
Chen, B. (PI)
Project: Governmental Research Project
-
HCPI-HRL: Human Causal Perception and Inference-driven Hierarchical Reinforcement Learning
Chen, B., Cao, Z., Mayer, W., Stumptner, M. & Kowalczyk, R., Jul 2025, In: Neural Networks. 187, 107318.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
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
4 Citations (Scopus) -
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
-
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
-
Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS (Journal)
Chen, B. (Reviewer)
2024Activity: Peer-review and editorial work of publications › Publication Peer-review
-
-
IEEE TNNLS (Journal)
Chen, B. (Reviewer)
2023 → …Activity: Peer-review and editorial work of publications › Publication Peer-review
-
AAAI press (Publisher)
Chen, B. (Reviewer)
2022Activity: Peer-review and editorial work of publications › Publication Peer-review