Biography

I am currently an Associate Professor at Zhejiang University of Technology. I worked as a postdoctoral research fellow at AML Lab from City University of Hong Kong supervised by Prof. Xiangyu Zhao. I obtained the PhD degree in data science from City University of Hong Kong (CityU) supervised by Prof. Xiangyu Zhao and Prof. Ding-Xuan Zhou. I currently serves as an Area Chair for KDD 2026 and has previously held positions such as Session Chair and Area Chair for KDD 2025, Publicity Chair & keynote speaker for CSECS 2026, and the Host for ICCNSE 2025. Additionally, I am a Program Committee member for conferences including AAAI, WWW, ACM MM, and IJCAI, a reviewer for journals like IEEE TITS, and the recipient of the KDD 2025 Outstanding Reviewer Award.

My research interests include Large Language Models, Learning Theory, City Computing, and Recommender Systems. If you are interested in collaborating with me or want to have a chat, always feel free to contact me through hahahenha@gmail.com.

News

Selected Publications

• Xiao Han, Zimo Zhao, Wanyu Wang, Maolin Wang, Zitao Liu, Yi Chang, and Xiangyu Zhao, Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning, The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025. [Paper] [Code]
• Xiao Han, Chen Zhu, Xiangyu Zhao, and Hengshu Zhu, Swarm Intelligence in Geo-Localization: A Multi-Agent Large Vision-Language Model Collaborative Framework, Thirty-first ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Research Track, 2025. [Paper] [Code]
• Xiao Han, Zijian Zhang, Xiangyu Zhao, Guojiang Shen, Xiangjie Kong, Xuetao Wei, Liqiang Nie, Jieping Ye, and Yuanshao Zhu, GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching, Thirty-Nine AAAI Conference on Artificial Intelligence (AAAI), 2025. (Oral) [Paper] [Code]
• Xiao Han, Dingxuan Zhou, Guojiang Shen, Xiangjie Kong, Yulong Zhao, Deep Trajectory Recovery Approach of Offline Vehicles in the Internet of Vehicles, IEEE Transactions on Vehicular Technology, 2024. [Paper]
• Xiao Han, Chen Zhu, Xiao Hu, Chuan Qin, Xiangyu Zhao, and Hengshu Zhu, Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning, The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Research Track, 2024. [Paper] [Code]
• Xiao Han, Xiangyu Zhao, Liang Zhang, and Wanyu Wang, Mitigating action hysteresis in traffic signal control with traffic predictive reinforcement learning, The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Research Track, 2023. [Paper] [Code]
• Xiao Han, Guojiang Shen, Xi Yang, and Xiangjie Kong, Congestion Recognition for Hybrid Urban Road System via Digraph Convolutional Network, Transportation Research Part C: Emerging Technologies, 2020. [Paper]