| 2026 | AAAI | Improving Region Representation Learning from Urban Imagery with Noisy Long-Caption Supervision. | Yimei Zhang, Guojiang Shen, Kaili Ning, Tongwei Ren, Xuebo Qiu, Mengmeng Wang, Xiangjie Kong |
| 2026 | ISKE | SA-PLM: Semantic Alignment-Based Unified Spatio-Temporal Modeling with Pre-trained Language Model. | Weiyao Liu, Zhaolin Deng, Zhiyu Tian, Zhi Liu, Guojiang Shen, Xiangjie Kong |
| 2026 | WWW | Multimodal Trajectory Representation Learning for Travel Time Estimation. | Zhi Liu, Xuyuan Hu, Xiao Han, Zhehao Dai, Zhaolin Deng, Guojiang Shen, Xiangjie Kong |
| 2026 | WWW | Dual History Enhancement with Hybrid Hypergraph-Graph Networks for Temporal Knowledge Graph Reasoning. | Kailun Ye, Xiangjie Kong, Yuchao Zhang, Xuan Wang, Linan Zhu, Jiaxin Du, Guojiang Shen, Jianxin Li |
| 2026 | WWW | DSTAG: A Semantic Tag-Enhanced Dual-Graph Convolutional Network for Temporal Knowledge Graph Completion. | Yuchao Zhang, Xiangjie Kong, Kailun Ye, Shangfei Zheng, Guojiang Shen |
| 2025 | AAAI | Breaking Information Isolation: Accelerating MRI via Inter-sequence Mapping and Progressive Masking. | Jianwei Zheng, Xiaomin Yao, Guojiang Shen, Wei Li, Jiawei Jiang |
| 2025 | AAAI | GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching. | Xiao Han, Zijian Zhang, Xiangyu Zhao, Yuanshao Zhu, Guojiang Shen, Xiangjie Kong, Xuetao Wei, Liqiang Nie, Jieping Ye |
| 2025 | CIKM | FedGVD: Efficient Federated Graph Learning via Unidirectional Distillation with Dynamic Virtual Nodes. | Zhehao Dai, Guojiang Shen, Yuyue Hu, Jiaxin Du, Xiao Han, Xiangjie Kong |
| 2025 | CVPR | Action Detail Matters: Refining Video Recognition with Local Action Queries. | Mengmeng Wang, Zeyi Huang, Xiangjie Kong, Guojiang Shen, Guang Dai, Jingdong Wang, Yong Liu |
| 2025 | ICCV | TrackAny3D: Transferring Pretrained 3D Models for Category-Unified 3D Point Cloud Tracking. | Mengmeng Wang, Haonan Wang, Yulong Li, Xiangjie Kong, Jiaxin Du, Guojiang Shen, Feng Xia |
| 2025 | ICPADS | Diffusion-Based Implicit Feedback Modeling for Point-of-Interest Recommendation. | Zhi Liu, Zhaolin Deng, Junhui Deng, Xuyuan Hu, Guojiang Shen, Xiangjie Kong |
| 2025 | ICPADS | FedPce: Prompt-Based Federated Cross-Domain Recommendation. | Zhi Liu, Xuyuan Hu, Xiaohua He, Zhaolin Deng, Guojiang Shen, Xiangjie Kong |
| 2025 | IJCAI | LLM-TPF: Multiscale Temporal Periodicity-Semantic Fusion LLMs for Time Series Forecasting. | Qihong Pan, Haofei Tan, Guojiang Shen, Xiangjie Kong, Mengmeng Wang, Chenyang Xu |
| 2025 | IJCAI | 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, Xiangjie Kong |
| 2025 | WWW | Tackling Sparse Facts for Temporal Knowledge Graph Completion. | Yuchao Zhang, Xiangjie Kong, Kailun Ye, Guojiang Shen, Shangfei Zheng |
| 2024 | APWEB | FedOCD: A One-Shot Federated Framework for Heterogeneous Cross-Domain Recommendation. | Zhi Liu, Xiaohua He, Xulin Ma, Benfeng Wang, Guojiang Shen, Xiangjie Kong |
| 2024 | APWEB | An Epidemic Trend Prediction Model with Multi-source Auxiliary Data. | Benfeng Wang, Xiaohua He, Hang Lin, Guojiang Shen, Xiangjie Kong |
| 2024 | CogSci | Dual Contrastive Learning for Next POI Recommendation with Long and Short-Term Trajectory Modeling. | Zhi Liu, Junhui Deng, Deju Zhang, Zhiyu Chen, Guojiang Shen, Xiangjie Kong |
| 2024 | CogSci | Dual Weighted Graph Convolutional Network for POI Recommendation. | Zhi Liu, Deju Zhang, Junhui Deng, Guojiang Shen, Xiangjie Kong |
| 2024 | CSCWD | Point-Correlate Adversarial Transformer for Unsupervised Multivariate Time Series Anomaly Detection. | Huan Li, Xiangjie Kong, Guojiang Shen, Xiaoran Yan, Yao Yang, Mario Collotta |
| 2024 | IJCAI | 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, Xiangjie Kong |
| 2024 | IJCNN | A Diffusion Model for Inductive Knowledge Graph Completion. | Zhiyu Chen, Guojiang Shen, Yuqi Shen, Zhi Liu, Xiangjie Kong |
| 2023 | APWEB | Subgraph Federated Learning with Global Graph Reconstruction. | Zhi Liu, Hanlin Zhou, Feng Xia, Guojiang Shen, Vidya Saikrishna, Xiaohua He, Jiaxin Du, Xiangjie Kong |
| 2021 | DASC | ST-TAP: A Traffic Accident Prediction Framework Based on Spatio-Temporal Transformer. | Weitao Liu, Xuanyi Liu, Hui Feng, Yiran Wang, Lintao Guan, Weifeng Xu, Guojiang Shen, Zhi Liu, Xiangjie Kong |
| 2021 | HPCC | Lane-Level Traffic Flow Prediction Based on Dynamic Graph Generation. | Lingyun Wang, Guojiang Shen, Kaifeng Yu, Zhanhao Ji, Xiangjie Kong |