Publications
You can also find my articles on my Google Scholar profile.
*: corresponding author
Conference Papers
- Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning
Xiao Han, Zimo Zhao, Wanyu Wang, Maolin Wang, Zitao Liu, Yi Chang, and Xiangyu Zhao
The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025
[Paper] [Code] - Swarm Intelligence in Geo-Localization: A Multi-Agent Large Vision-Language Model Collaborative Framework
Xiao Han, Chen Zhu, Xiangyu Zhao, Hengshu Zhu
Thirty-First ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Research Track, 2025
[Paper] [Code] - GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching
Xiao Han, Zijian Zhang, Xiangyu Zhao, Guojiang Shen, Xiangjie Kong, Xuetao Wei, Liqiang Nie, Jieping Ye, and Yuanshao Zhu
Thirty-Nine AAAI Conference on Artificial Intelligence (AAAI), 2025 (Oral)
[Paper] [Code] - Multi-modal Recommendation with Joint Content and Interaction Augmentation
Jiajie Deng, Haokun Wen, Xiao Han, Xuemeng Song, Xiangyu Zhao
ACM Multimedia Asia, 2025 - FedGVD: Efficient Federated Graph Learning via Unidirectional Distillation with Dynamic Virtual Nodes
Zhehao Dai, Guojiang Shen, Yuyue Hu, Jiaxin Du, Xiao Han and Xiangjie Kong
The 34th ACM International Conference on Information and Knowledge Management (CIKM), 2025
- Contextual Attention Modulation: Towards Efficient Multi-Task Adaptation in Large Language Models
Dayan Pan, Zhaoyang Fu, Jingyuan Wang, Xiao Han, Yue Zhu and Xiangyu Zhao
The 34th ACM International Conference on Information and Knowledge Management (CIKM), 2025
- 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), Research Track, 2025
[Paper] - Let’s group: A Plug-and-Play SubGraph Learning method for Memory-Efficient Spatio-Temporal Graph Modeling
Wenchao Weng, Hanyu Jiang, Mei Wu, Xiao Han, Haidong Gao, Guojiang Shen, and Xiangjie Kong
The 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025
- Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning
Xiao Han, Chen Zhu, Xiao Hu, Chuan Qin, Xiangyu Zhao, and Hengshu Zhu
The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Research Track, 2024
[Paper] [Code] - G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models
Pengyue Jia, Yiding Liu, Xiaopeng Li, Xiangyu Zhao, Yuhao Wang, YantongDu, Xiao Han, et. al.
2024 Conference on Neural Information Processing Systems (NeurIPS), 2024
[Paper] [Code] - KDDC: Knowledge-Driven Disentangled Causal Metric Learning for Pre-Travel Out-of-Town Recommendation
Yinghui Liu, Guojiang Shen, Chengyong Cui, Zhenzhen Zhao, Xiao Han, Jiaxin Du, Xiangyu Zhao, and Xiangjie Kong
The 33rd International Joint Conference on Artificial Intelligence (IJCAI), 2024
[Paper] - Mitigating action hysteresis in traffic signal control with traffic predictive reinforcement learning
Xiao Han, Xiangyu Zhao, Liang Zhang, and Wanyu Wang
The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Research Track, 2023
[Paper] [Code]
Journal Papers
- Leveraging temporal validity of rules via LLMs for enhanced temporal knowledge graph reasoning
Qihong Pan, Limin Yao,Guojiang Shen, Xiao Han, Yichuan Chen, Xiangjie Kong
Knowledge-Based Systems, 2025
[Paper] - Deep Trajectory Recovery Approach of Offline Vehicles in the Internet of Vehicles
Xiao Han, Dingxuan Zhou, Guojiang Shen, Xiangjie Kong, and Yulong Zhao
IEEE Transactions on Vehicular Technology, 2024
[Paper] - Traffic data imputation via knowledge graph-enhanced generative adversarial network
Yinghui Liu, Guojiang Shen, Nali Liu, Xiao Han, Zhenhui Xu, Junjie Zhou, and Xiangjie Kong
PeerJ Computer Science, 2024
[Paper] - Spatio-temporal digraph convolutional network-based taxi pickup location recommendation
Yan Zhang, Guojiang Shen, Xiao Han, Wei Wang, and Xiangjie Kong
IEEE Transactions on Industrial Informatics, 2022
[Paper] - An attention-based digraph convolution network enabled framework for congestion recognition in three-dimensional road networks
Guojiang Shen, Xiao Han, Kwai Sang Chin, and Xiangjie Kong
IEEE Transactions on Intelligent Transportation Systems, 2021
[Paper] - Congestion Recognition for Hybrid Urban Road System via Digraph Convolutional Network
Xiao Han, Guojiang Shen, Xi Yang, and Xiangjie Kong
Transportation Research Part C: Emerging Technologies, 2020
[Paper] - Traffic speed prediction: An attention-based method
Duanyang Liu, Longfeng Tang, Guojiang Shen, and Xiao Han
Sensors, 2019
[Paper]
Tutorials
- Learning from Spatio-Temporal Data in the LLM Era: Foundations, Models, and Emerging Trends
Zijian Zhang, Xiao Han*, Xiangyu Zhao, Chenjuan Guo, Bin Yang
The 19th International Symposium on Spatial and Temporal Data, 2025, Tutorial
- Web-Centric Human Mobility Analytics: Methods, Applications, and Future Directions in the LLM Era
Zijian Zhang, Hao Miao, Yuxuan Liang, Yan Zhao, Xiao Han, Pengyue Jia, Bin Yang and Christian S. Jensen
The International World Wide Web Conference (WWW), 2025, Tutorial
[Paper] [Project page] [Video]
Workshop Papers
- TITLE: MoE Enhanced Federated Learning for Spatiotemporal Prediction
Zhehao Dai, Xiao Han*, Zhaolin Deng, Zijian Zhang, Xiangyu Zhao, Guojiang Shen and Xiangjie Kong
STIntelligence workshop in CIKM, 2025
Others
- The Relationship Between Talent Mobility and Corporate Sustainability: Smart Risk Assessment and Early Warning
Xiao Han
BOC Connect app (中銀商聚), 2025. [LINK]