Chaojie Li received the B.Eng. degree in electronic science and technology and the M.Eng. degree in computer science from Chongqing University, Chongqing, China, in 2007 and 2011, respectively, and the Ph.D. degree from RMIT University, Melbourne, VIC, Australia, in 2017. He was a Research Fellow with RMIT University for one and a half years. He was a Senior Algorithm Engineer with Alibaba Group, Hangzhou, China. He was an ARC DECRA Fellow with the School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia. He was a Professor with North China of Electrical Engineering University. He is an Assistant Professor at City University of Hong Kong. His current research interests include renewable energy integration, large language model, graph representation learning, distributed optimization and control in smart grid, neural networks, and their application. He has been PI/Co-PI for 5 national competitive grants. Dr. Li was a recipient of the ARC Discovery Early Career Researcher Award in 2020.
Awards and Achievements
- 2022 “Global Top Chinese Young Scholar in Artificial Intelligence” Baidu Inc..
- 2020 “ARC Discovery Early Career Researcher Award (DECRA)” Australian Research Council.
- 2020 “APNNS Young Researcher Award” Asia Pacific Neural Network Society.
Research Grants
- A Large Language Model Assisted Decision-making Framework for Electricity Market Optimal Bidding and Clearing, General Project 52577107, NSFC , Amount: CNY $500,000, 1 Jan 2026 - 31 Dec 2029, Chaojie LI (PI).
- Accelerated Finite-time Learning and Control in Cyber-Physical Systems, ARC DP230101107, Australian Research Council, Amount: AUD $470,740, Sep 2023 - Dec 2026, Xinghuo YU (PI), Chaojie LI (Co-I).
- Graph Neural Networks for Efficient Decision-making towards Future Grids, ARC DE210100274, Australian Research Council, Amount: AUD $438,794, Apr 2021 - Dec 2025, Chaojie LI (PI).
Patents
- David Yang, Chaojie Li, Mansoor Al-Thani, TRAFFIC ACCIDENT PREDICTION SYSTEMS AND METHODS, US Patent No. US20230140289A1, 2023.
Journal
- Zhang, Borui. , Li, Chaojie. , Chen, Guo. , Xu, Zhao. & Dong, Zhaoyang. (Elsevier Sep 2025). LLM-coordination in auto-bidding of frequency regulation: cross-attention distributional reinforcement agentic learning. Applied Energy. 401:126702.
- Xie, Renyou. , Li, Chaojie. , Yang, Zhaohui. , Xu, Zhao. , Huang, Jian. & Dong, ZhaoYang. (18 Jun 2025). Differential privacy enabled robust asynchronous federated multitask learning: A multigradient descent approach. IEEE Transactions on Cybernetics. 55/8. 3546 - 3559. doi:10.1109/TCYB.2025.3571953
- Li, Chaojie. , Zhang, Borui. , Wang, Zeyu. , Yang, Yin. , Zhou, Xiaojun. , Pan, Shirui. & Yu, Xinghuo. (Sep 2024). Interpretable Traffic Accident Prediction: Attention Spatial–Temporal Multi-Graph Traffic Stream Learning Approach. IEEE Transactions on Intelligent Transportation Systems. 25/11. 15574 - 15586. doi:10.1109/TITS.2024.3435995
- Nguyen, Lien T. , Eberhard, Andrew. , Yu, Xinghuo. & Li, Chaojie. (Feb 2024). Fast Gradient Algorithm with Dry-like Friction and Nonmonotone Line Search for Nonconvex Optimization Problems. SIAM Journal on Optimization. 34/3. 2557 - 2587. doi:10.1137/22M1532354
- Li, Jueyou. , Li, Chaojie. , Fan, Jing. & Huang, Tingwen. (Oct 2023). Online Distributed Stochastic Gradient Algorithm for Nonconvex Optimization With Compressed Communication. IEEE Transactions on Automatic Control. 23/10. 936 - 951. doi:10.1109/TAC.2023.3327183
External Services
Public Service
- Jul 2026 - Now, Associate Editor, IEEE Transactions on Industrial Cyber-Physical Systems, IEEE Industrial Electronics Society.US.
- 1 Jan 2026 - Now, Associate Editor, IEEE Transactions on Industry Applications, IEEE Industry Applications Society.US.
Service in CityUHK
Teaching Service
- Jan 2026 - Apr 2026, EE6622, Special Topics in Smart Grid.
- Sep 2025 - Dec 2025, EE3301, Optimization Method in Engineering.
Last update date :
14 Jul 2026
