Zhu, Yuanshao

9 publications

AAAI 2025 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

AAAI 2025 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

AAAI 2025 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

NeurIPS 2025 TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting Mingyuan Xia, Chunxu Zhang, Zijian Zhang, Hao Miao, Qidong Liu, Yuanshao Zhu, Bo Yang

AAAI 2025 UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks Jie Zhao, Chao Chen, Yuanshao Zhu, Mingyu Deng, Yuxuan Liang

NeurIPS 2025 UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao, Xun Zhou, Liang Han, Xuetao Wei, Yuxuan Liang

IJCAI 2024 Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang

NeurIPS 2023 DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model Yuanshao Zhu, Yongchao Ye, Shiyao Zhang, Xiangyu Zhao, James Yu

NeurIPS 2023 SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis Yuanshao Zhu, Yongchao Ye, Ying Wu, Xiangyu Zhao, James Yu