Xiao Han

Xiao Han

PhD candidate at AML lab CityU HK

Publications

You can also find my articles on my Google Scholar profile.
  1. Zhehao Dai, Guojiang Shen, Yuyue Hu, Jiaxin Du, Xiao Han and Xiangjie Kong, FedGVD: Efficient Federated Graph Learning via Unidirectional Distillation with Dynamic Virtual Nodes The 34th ACM International Conference on Information and Knowledge Management (CIKM 25). [LINK]
  2. Dayan Pan, Zhaoyang Fu, Jingyuan Wang, Xiao Han, Yue Zhu and Xiangyu Zhao, Contextual Attention Modulation: Towards Efficient Multi-Task Adaptation in Large Language Models, The 34th ACM International Conference on Information and Knowledge Management (CIKM 25). [LINK]
  3. Zijian Zhang, Xiao Han, Xiangyu Zhao, Chenjuan Guo, Bin Yang, Learning from Spatio-Temporal Data in the LLM Era: Foundations, Models, and Emerging Trends, The 19th International Symposium on Spatial and Temporal Data. [LINK]
  4. Qihong Pan, Limin Yao,Guojiang Shen, Xiao Han, Yichuan Chen, Xiangjie Kong, Leveraging temporal validity of rules via LLMs for enhanced temporal knowledge graph reasoning, Knowledge-Based Systems. [LINK]
  5. Xiao Han, The Relationship Between Talent Mobility and Corporate Sustainability: Smart Risk Assessment and Early Warning. [LINK]
  6. Xiao Han, Chen Zhu, Xiangyu Zhao, 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 25), Research Track. [PDF]
  7. Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao, Xiao Han, Qidong Liu, Xuetao Wei, Yuxuan Liang, Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision, Thirty-First ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 25), Research Track. [PDF]
  8. Wenchao Weng, Hanyu Jiang, Mei Wu, Xiao Han, Haidong Gao, Guojiang Shen, and Xiangjie Kong, Let’s group: A Plug-and-Play SubGraph Learning method for Memory-Efficient Spatio-Temporal Graph Modeling, The 34th International Joint Conference on Artificial Intelligence (IJCAI'25). [PDF]
  9. 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'25), Oral. [PDF]
  10. Xiao Han, Dingxuan Zhou, Guojiang Shen, Xiangjie Kong, and Yulong Zhao, Deep Trajectory Recovery Approach of Offline Vehicles in the Internet of Vehicles, IEEE Transactions on Vehicular Technology. [PDF]
  11. 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'24), Research Track. [PDF]
  12. 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'23), Research Track. [PDF]
  13. 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. [PDF]
  14. Zijian Zhang, Hao Miao, Yuxuan Liang, Yan Zhao, Xiao Han, Pengyue Jia, Bin Yang and Christian S. Jensen, Web-Centric Human Mobility Analytics: Methods, Applications, and Future Directions in the LLM Era, The International World Wide Web Conference (WWW'25), Tutorial.
  15. Pengyue Jia, Yiding Liu, Xiaopeng Li, Xiangyu Zhao, Yuhao Wang, YantongDu, Xiao Han, et. al., G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models, 2024 Conference on Neural Information Processing Systems (NeurIPS'2024). [PDF]
  16. Yinghui Liu, Guojiang Shen, Nali Liu, Xiao Han, Zhenhui Xu, Junjie Zhou, and Xiangjie Kong, Traffic data imputation via knowledge graph-enhanced generative adversarial network, PeerJ Computer Science. [PDF]
  17. Yinghui Liu, Guojiang Shen, Chengyong Cui, Zhenzhen Zhao, Xiao Han, Jiaxin Du, Xiangyu Zhao, and Xiangjie Kong, KDDC: Knowledge-Driven Disentangled Causal Metric Learning for Pre-Travel Out-of-Town Recommendation, The 33rd International Joint Conference on Artificial Intelligence (IJCAI'2024). [PDF]
  18. Yan Zhang, Guojiang Shen, Xiao Han, Wei Wang, and Xiangjie Kong, Spatio-temporal digraph convolutional network-based taxi pickup location recommendation, IEEE Transactions on Industrial Informatics. [PDF]
  19. Guojiang Shen, Xiao Han, Kwai Sang Chin, and Xiangjie Kong, An attention-based digraph convolution network enabled framework for congestion recognition in three-dimensional road networks, IEEE Transactions on Intelligent Transportation Systems. [PDF]
  20. Duanyang Liu, Longfeng Tang, Guojiang Shen, and Xiao Han, Traffic speed prediction: An attention-based method, Sensors. [PDF]