Yuanshao Zhu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 25

Top Topics

Diffusion Models

Influence Maximization

Trajectory Data

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

Yuanshao Zhu, James Jian Qiao Yu, Xiangyu Zhao, Qidong Liu, Yongchao Ye, Wei Chen, Zijian Zhang, Xuetao Wei, Yuxuan Liang
ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model. KDD (2024)
Yuanshao Zhu, James Jian Qiao Yu, Xiangyu Zhao, Qidong Liu, Yongchao Ye, Wei Chen, Zijian Zhang, Xuetao Wei, Yuxuan Liang
ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model. CoRR (2024)
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
Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond. CoRR (2024)
Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning. CoRR (2024)
Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Derong Xu, Feng Tian, Yefeng Zheng
When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications. SIGIR (2024)
Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Zijian Zhang, Feng Tian, Yefeng Zheng
Large Language Model Distilling Medication Recommendation Model. CoRR (2024)
Yuanshao Zhu, Yongchao Ye, Xiangyu Zhao, James J. Q. Yu
Enhancing Traffic Prediction with Learnable Filter Module. CoRR (2023)
Weilin Lin, Xiangyu Zhao, Yejing Wang, Yuanshao Zhu, Wanyu Wang
AutoDenoise: Automatic Data Instance Denoising for Recommendations. CoRR (2023)
Yuanshao Zhu, Yongchao Ye, Xiangyu Zhao, James J. Q. Yu
Diffusion Model for GPS Trajectory Generation. CoRR (2023)
Zhipeng Zheng, Yongchao Ye, Yuanshao Zhu, Shiyao Zhang, James J. Q. Yu
Data-Driven Methods for Travel Time Estimation: A Survey. ITSC (2023)
Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Derong Xu, Feng Tian, Yefeng Zheng
MOELoRA: An MOE-based Parameter Efficient Fine-Tuning Method for Multi-task Medical Applications. CoRR (2023)
Yuanshao Zhu, Yongchao Ye, Shiyao Zhang, Xiangyu Zhao, James Yu
DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model. NeurIPS (2023)
Weilin Lin, Xiangyu Zhao, Yejing Wang, Yuanshao Zhu, Wanyu Wang
AutoDenoise: Automatic Data Instance Denoising for Recommendations. WWW (2023)
Yunjie Huang, Xiaozhuang Song, Yuanshao Zhu, Shiyao Zhang, James J. Q. Yu
Traffic Prediction With Transfer Learning: A Mutual Information-Based Approach. IEEE Trans. Intell. Transp. Syst. 24 (8) (2023)
Yuanshao Zhu, Yongchao Ye, Ying Wu, Xiangyu Zhao, James Jian Qiao Yu
SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis. NeurIPS (2023)
Yunjie Huang, Xiaozhuang Song, Yuanshao Zhu, Shiyao Zhang, James J. Q. Yu
Traffic Prediction with Transfer Learning: A Mutual Information-based Approach. CoRR (2023)
Yongchao Ye, Yuanshao Zhu, Christos Markos, James J. Q. Yu
CatETA: A Categorical Approximate Approach for Estimating Time of Arrival. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Yi Liu, Yuanshao Zhu, James J. Q. Yu
Resource-Constrained Federated Edge Learning With Heterogeneous Data: Formulation and Analysis. IEEE Trans. Netw. Sci. Eng. 9 (5) (2022)
Chenhan Zhang, Yuanshao Zhu, Christos Markos, Shui Yu, James J. Q. Yu
Toward Crowdsourced Transportation Mode Identification: A Semisupervised Federated Learning Approach. IEEE Internet Things J. 9 (14) (2022)
Yuanshao Zhu, Yi Liu, James J. Q. Yu, Xingliang Yuan
Semi-Supervised Federated Learning for Travel Mode Identification From GPS Trajectories. IEEE Trans. Intell. Transp. Syst. 23 (3) (2022)
Yuanshao Zhu, Yongchao Ye, Yi Liu, James J. Q. Yu
Cross-Area Travel Time Uncertainty Estimation From Trajectory Data: A Federated Learning Approach. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Yuanshao Zhu, Christos Markos, James J. Q. Yu
Improving Transportation Mode Identification with Limited GPS Trajectories. ICTAI (2021)
Yuanshao Zhu, Christos Markos, Ruihui Zhao, Yefeng Zheng, James J. Q. Yu
FedOVA: One-vs-All Training Method for Federated Learning with Non-IID Data. IJCNN (2021)
Yi Liu, Yuanshao Zhu, James J. Q. Yu
Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis. CoRR (2021)
Yuanshao Zhu, Shuyu Zhang, Yi Liu, Dusit Niyato, James J. Q. Yu
Robust Federated Learning Approach for Travel Mode Identification from Non-IID GPS Trajectories. ICPADS (2020)