Research on Intelligent Analysis and Depth Fusion of Multi-Source Traffic Data. - Guojiang Shen; Xiao Han 004; Junjie Zhou; Zhongyuan Ruan; Qihong Pan (IEEE Access, 2018)

Traffic Speed Prediction: An Attention-Based Method. - Duanyang Liu; Longfeng Tang; Guojiang Shen; Xiao Han 004 (Sensors, 2019)

An Attention-Based Digraph Convolution Network Enabled Framework for Congestion Recognition in Three-Dimensional Road Networks. - Guojiang Shen; Xiao Han 004; Kwai-Sang Chin; Xiangjie Kong 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Mitigating Action Hysteresis in Traffic Signal Control with Traffic Predictive Reinforcement Learning. - Xiao Han 004; Xiangyu Zhao 001; Liang Zhang; Wanyu Wang (KDD, 2023)

Spatio-Temporal Digraph Convolutional Network-Based Taxi Pickup Location Recommendation. - Yan Zhang 111; Guojiang Shen; Xiao Han 004; Wei Wang 077; Xiangjie Kong 001 (IEEE Trans. Ind. Informatics, 2023)

KDDC: Knowledge-Driven Disentangled Causal Metric Learning for Pre-Travel Out-of-Town Recommendation. - Yinghui Liu; Guojiang Shen; Chengyong Cui; Zhenzhen Zhao; Xiao Han 004; Jiaxin Du; Xiangyu Zhao 001; Xiangjie Kong 001 (IJCAI, 2024)

Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning. - Xiao Han 004; Chen Zhu 003; Xiao Hu; Chuan Qin 002; Xiangyu Zhao 001; Hengshu Zhu (KDD, 2024)

G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models. - Pengyue Jia; Yiding Liu; Xiaopeng Li; Xiangyu Zhao 001; Yuhao Wang 006; Yantong Du; Xiao Han 004; Xuetao Wei; Shuaiqiang Wang; Dawei Yin (NeurIPS, 2024)

GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching. - Xiao Han 004; Zijian Zhang 009; Xiangyu Zhao 001; Guojiang Shen; Xiangjie Kong 001; Xuetao Wei; Liqiang Nie; Jieping Ye (CoRR, 2024)

Swarm Intelligence in Geo-Localization: A Multi-Agent Large Vision-Language Model Collaborative Framework. - Xiao Han 004; Chen Zhu 003; Xiangyu Zhao 001; Hengshu Zhu (CoRR, 2024)

Traffic data imputation via knowledge graph-enhanced generative adversarial network. - Yinghui Liu; Guojiang Shen; Nali Liu; Xiao Han 004; Zhenhui Xu; Junjie Zhou; Xiangjie Kong 001 (PeerJ Comput. Sci., 2024)

Deep Trajectory Recovery Approach of Offline Vehicles in the Internet of Vehicles. - Xiao Han 004; Ding-Xuan Zhou; Guojiang Shen; Xiangjie Kong 001; Yulong Zhao (IEEE Trans. Veh. Technol., 2024)

GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching. - Xiao Han 004; Zijian Zhang 009; Xiangyu Zhao 001; Yuanshao Zhu; Guojiang Shen; Xiangjie Kong 001; Xuetao Wei; Liqiang Nie; Jieping Ye (AAAI, 2025)

Web-Centric Human Mobility Analytics: Methods, Applications, and Future Directions in the LLM Era. - Zijian Zhang 009; Hao Miao 001; Yuxuan Liang; Yan Zhao 008; Xiao Han 004; Pengyue Jia; Bin Yang 002; Christian S. Jensen (WWW (Companion Volume), 2025)

Leveraging temporal validity of rules via LLMs for enhanced temporal knowledge graph reasoning. - Qihong Pan; Limin Yao; Guojiang Shen; Xiao Han 004; Yichuan Chen; Xiangjie Kong 001 (Knowl. Based Syst., 2025)

A Dataset for Spatiotemporal-Sensitive POI Question Answering. - Xiao Han 004; Dayan Pan; Xiangyu Zhao 001; Xuyuan Hu; Zhaolin Deng; Xiangjie Kong 001; Guojiang Shen (CoRR, 2025)

Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision. - Yuanshao Zhu; James Jianqiao Yu; Xiangyu Zhao 001; Xiao Han 004; Qidong Liu 002; Xuetao Wei; Yuxuan Liang (CoRR, 2025)