Yuanshao Zhu

40 papers A* 11B 3Journal 24Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A* conf
Boosting Fine-Grained Urban Flow Inference via Lightweight Architecture and Focalized Optimization.
AAAI
Yuanshao Zhu, Xiangyu Zhao, Zijian Zhang, Xuetao Wei, James Jianqiao Yu
2026 J jnl
GeoRouter: Dynamic Paradigm Routing for Worldwide Image Geolocalization.
CoRR
Pengyue Jia, Derong Xu, Yingyi Zhang, Xiaopeng Li, Wenlin Zhang, Yi Wen, Yuanshao Zhu, Xiangyu Zhao
2025 J jnl
Boosting Fine-Grained Urban Flow Inference via Lightweight Architecture and Focalized Optimization.
CoRR
Yuanshao Zhu, Xiangyu Zhao, Zijian Zhang, Xuetao Wei, James Jianqiao Yu
2025 A* conf
GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching.
AAAI
Xiao Han, Zijian Zhang, Xiangyu Zhao, Yuanshao Zhu, Guojiang Shen, Xiangjie Kong, Xuetao Wei, Liqiang Nie, Jieping Ye
2025 A* conf
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation.
AAAI
Qidong Liu, Xian Wu, Wanyu Wang, Yejing Wang, Yuanshao Zhu, Xiangyu Zhao, Feng Tian, Yefeng Zheng
2025 — conf
Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision.
KDD (2)
Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao, Xiao Han, Qidong Liu, Xuetao Wei, Yuxuan Liang
2025 J jnl
Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision.
CoRR
Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao, Xiao Han, Qidong Liu, Xuetao Wei, Yuxuan Liang
2025 A* conf
POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning.
AAAI
Jiawei Cheng, Jingyuan Wang, Yichuan Zhang, Jiahao Ji, Yuanshao Zhu, Zhibo Zhang, Xiangyu Zhao
2025 J jnl
POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning.
CoRR
Jiawei Cheng, Jingyuan Wang, Yichuan Zhang, Jiahao Ji, Yuanshao Zhu, Zhibo Zhang, Xiangyu Zhao
2025 J jnl
Select, then Balance: A Plug-and-Play Framework for Exogenous-Aware Spatio-Temporal Forecasting.
CoRR
Wei Chen, Yuqian Wu, Yuanshao Zhu, Xixuan Hao, Shiyu Wang, Yuxuan Liang
2025 J jnl
TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting.
CoRR
Mingyuan Xia, Chunxu Zhang, Zijian Zhang, Hao Miao, Qidong Liu, Yuanshao Zhu, Bo Yang
2025 A* conf
UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks.
AAAI
Jie Zhao, Chao Chen, Yuanshao Zhu, Mingyu Deng, Yuxuan Liang
2024 A* conf
ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model.
KDD
Yuanshao Zhu, James Jian Qiao Yu, Xiangyu Zhao, Qidong Liu, Yongchao Ye, Wei Chen, Zijian Zhang, Xuetao Wei, Yuxuan Liang
2024 J jnl
ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model.
CoRR
Yuanshao Zhu, James Jian Qiao Yu, Xiangyu Zhao, Qidong Liu, Yongchao Ye, Wei Chen, Zijian Zhang, Xuetao Wei, Yuxuan Liang
2024 J jnl
Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond.
CoRR
Wei Chen, Yuxuan Liang, Yuanshao Zhu, Yanchuan Chang, Kang Luo, Haomin Wen, Lei Li, Yanwei Yu, Qingsong Wen, Chao Chen, Kai Zheng, Yunjun Gao, Xiaofang Zhou, Yu Zheng
2024 J jnl
Large Language Model Distilling Medication Recommendation Model.
CoRR
Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Zijian Zhang, Feng Tian, Yefeng Zheng
2024 J jnl
Large Language Model Empowered Embedding Generator for Sequential Recommendation.
CoRR
Qidong Liu, Xian Wu, Wanyu Wang, Yejing Wang, Yuanshao Zhu, Xiangyu Zhao, Feng Tian, Yefeng Zheng
2024 A* conf
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning.
IJCAI
Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang
2024 J jnl
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning.
CoRR
Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang
2024 J jnl
UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces.
CoRR
Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao, Xuetao Wei, Yuxuan Liang
2024 A* conf
When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications.
SIGIR
Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Derong Xu, Feng Tian, Yefeng Zheng
2023 A* conf
AutoDenoise: Automatic Data Instance Denoising for Recommendations.
WWW
Weilin Lin, Xiangyu Zhao, Yejing Wang, Yuanshao Zhu, Wanyu Wang
2023 J jnl
AutoDenoise: Automatic Data Instance Denoising for Recommendations.
CoRR
Weilin Lin, Xiangyu Zhao, Yejing Wang, Yuanshao Zhu, Wanyu Wang
2023 — conf
Data-Driven Methods for Travel Time Estimation: A Survey.
ITSC
Zhipeng Zheng, Yongchao Ye, Yuanshao Zhu, Shiyao Zhang, James J. Q. Yu
2023 A* conf
DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model.
NeurIPS
Yuanshao Zhu, Yongchao Ye, Shiyao Zhang, Xiangyu Zhao, James Yu
2023 J jnl
Diffusion Model for GPS Trajectory Generation.
CoRR
Yuanshao Zhu, Yongchao Ye, Xiangyu Zhao, James J. Q. Yu
2023 J jnl
Enhancing Traffic Prediction with Learnable Filter Module.
CoRR
Yuanshao Zhu, Yongchao Ye, Xiangyu Zhao, James J. Q. Yu
2023 J jnl
MOELoRA: An MOE-based Parameter Efficient Fine-Tuning Method for Multi-task Medical Applications.
CoRR
Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Derong Xu, Feng Tian, Yefeng Zheng
2023 A* conf
SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis.
NeurIPS
Yuanshao Zhu, Yongchao Ye, Ying Wu, Xiangyu Zhao, James Jian Qiao Yu
2023 J jnl
Traffic Prediction With Transfer Learning: A Mutual Information-Based Approach.
IEEE Trans. Intell. Transp. Syst.
Yunjie Huang, Xiaozhuang Song, Yuanshao Zhu, Shiyao Zhang, James J. Q. Yu
2023 J jnl
Traffic Prediction with Transfer Learning: A Mutual Information-based Approach.
CoRR
Yunjie Huang, Xiaozhuang Song, Yuanshao Zhu, Shiyao Zhang, James J. Q. Yu
2022 J jnl
CatETA: A Categorical Approximate Approach for Estimating Time of Arrival.
IEEE Trans. Intell. Transp. Syst.
Yongchao Ye, Yuanshao Zhu, Christos Markos, James J. Q. Yu
2022 J jnl
Cross-Area Travel Time Uncertainty Estimation From Trajectory Data: A Federated Learning Approach.
IEEE Trans. Intell. Transp. Syst.
Yuanshao Zhu, Yongchao Ye, Yi Liu, James J. Q. Yu
2022 J jnl
Resource-Constrained Federated Edge Learning With Heterogeneous Data: Formulation and Analysis.
IEEE Trans. Netw. Sci. Eng.
Yi Liu, Yuanshao Zhu, James J. Q. Yu
2022 J jnl
Semi-Supervised Federated Learning for Travel Mode Identification From GPS Trajectories.
IEEE Trans. Intell. Transp. Syst.
Yuanshao Zhu, Yi Liu, James J. Q. Yu, Xingliang Yuan
2022 J jnl
Toward Crowdsourced Transportation Mode Identification: A Semisupervised Federated Learning Approach.
IEEE Internet Things J.
Chenhan Zhang, Yuanshao Zhu, Christos Markos, Shui Yu, James J. Q. Yu
2021 B conf
FedOVA: One-vs-All Training Method for Federated Learning with Non-IID Data.
IJCNN
Yuanshao Zhu, Christos Markos, Ruihui Zhao, Yefeng Zheng, James J. Q. Yu
2021 B conf
Improving Transportation Mode Identification with Limited GPS Trajectories.
ICTAI
Yuanshao Zhu, Christos Markos, James J. Q. Yu
2021 J jnl
Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis.
CoRR
Yi Liu, Yuanshao Zhu, James J. Q. Yu
2020 B conf
Robust Federated Learning Approach for Travel Mode Identification from Non-IID GPS Trajectories.
ICPADS
Yuanshao Zhu, Shuyu Zhang, Yi Liu, Dusit Niyato, James J. Q. Yu