| 2026 | AAAI | Boosting Fine-Grained Urban Flow Inference via Lightweight Architecture and Focalized Optimization. | Yuanshao Zhu, Xiangyu Zhao, Zijian Zhang, Xuetao Wei, James Jianqiao Yu |
| 2025 | AAAI | LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation. | Qidong Liu, Xian Wu, Wanyu Wang, Yejing Wang, Yuanshao Zhu, Xiangyu Zhao, Feng Tian, Yefeng Zheng |
| 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 | AAAI | UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks. | Jie Zhao, Chao Chen, Yuanshao Zhu, Mingyu Deng, Yuxuan Liang |
| 2025 | AAAI | POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning. | Jiawei Cheng, Jingyuan Wang, Yichuan Zhang, Jiahao Ji, Yuanshao Zhu, Zhibo Zhang, Xiangyu Zhao |
| 2025 | KDD | Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision. | Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao, Xiao Han, Qidong Liu, Xuetao Wei, Yuxuan Liang |
| 2024 | IJCAI | Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning. | Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang |
| 2024 | KDD | ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model. | Yuanshao Zhu, James Jian Qiao Yu, Xiangyu Zhao, Qidong Liu, Yongchao Ye, Wei Chen, Zijian Zhang, Xuetao Wei, Yuxuan Liang |
| 2024 | SIGIR | When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications. | Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Derong Xu, Feng Tian, Yefeng Zheng |
| 2023 | WWW | AutoDenoise: Automatic Data Instance Denoising for Recommendations. | Weilin Lin, Xiangyu Zhao, Yejing Wang, Yuanshao Zhu, Wanyu Wang |
| 2021 | IJCNN | FedOVA: One-vs-All Training Method for Federated Learning with Non-IID Data. | Yuanshao Zhu, Christos Markos, Ruihui Zhao, Yefeng Zheng, James J. Q. Yu |
| 2021 | ICTAI | Improving Transportation Mode Identification with Limited GPS Trajectories. | Yuanshao Zhu, Christos Markos, James J. Q. Yu |
| 2020 | ICPADS | Robust Federated Learning Approach for Travel Mode Identification from Non-IID GPS Trajectories. | Yuanshao Zhu, Shuyu Zhang, Yi Liu, Dusit Niyato, James J. Q. Yu |