Yuanshao Zhu

Ph.D. Candidate, SUSTech & CityU
Hong Kong, China
zhuys2019 [at] mail.sustech.edu.cn
yaso.zhu [at] my.cityu.edu.hk
Google scholar | Github | DBLP

I’m a joint Ph.D. student in SUSTech(CSE) and CityU(SDS) under the supervision of Dr. James Jianqiao Yu, Dr. Xiangyu Zhao, and Dr. Xuetao Wei. Currently, I am conducting a research internship with Dr. Yuxuan Liang at HKUST-GZ. I received my B.Eng. from Shandong University, Weihai and M.Phil. in Southern University of Science and Technology under the supervision of Dr. James Jianqiao Yu.

news

May 20, 2024	Our paper for controllable trajectory generation was accepted by research track of KDD’24.
Apr 18, 2024	One paper titled “Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning” was accepted by IJCAI’24.
Mar 28, 2024	One paper titled “MOELoRA: An MOE-based Parameter Efficient Fine-Tuning Method for Multi-task Medical Applications” was accepted by SIGIR’24.
Mar 24, 2024	A recent survey about Deep Learning for Trajectory was put on arxiv.
Mar 24, 2024	Serve as the PC member of CIKM’24.

selected publications

NeurIPS

DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model

Yuanshao Zhu , Yongchao Ye , Shiyao Zhang , Xiangyu Zhao , and James J.Q. Yu

In Proceedings of the 37th Annual Conference on Neural Information Processing Systems (NeurIPS) , 2023

Bib PDF Blog Code

@inproceedings{DiffTraj,
  title = {DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model},
  author = {Zhu, Yuanshao and Ye, Yongchao and Zhang, Shiyao and Zhao, Xiangyu and Yu, James J.Q.},
  booktitle = {Proceedings of the 37th Annual Conference on Neural Information Processing Systems (NeurIPS)},
  year = {2023},
}

NeurIPS

SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis

Yuanshao Zhu’ , Yongchao Ye’ , Ying Wu , Xiangyu Zhao , and James J.Q. Yu

In Proceedings of the 37th Annual Conference on Neural Information Processing Systems (NeurIPS dataset and benchmark) , 2023

Bib PDF Code

@inproceedings{SynMob,
  title = {SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis},
  author = {Zhu', Yuanshao and Ye', Yongchao and Wu, Ying and Zhao, Xiangyu and Yu, James J.Q.},
  booktitle = {Proceedings of the 37th Annual Conference on Neural Information Processing Systems (NeurIPS dataset and benchmark)},
  year = {2023},
}

TITS

Semi-Supervised Federated Learning for Travel Mode Identification From GPS Trajectories

Yuanshao Zhu , Yi Liu , James J.Q. Yu , and Xingliang Yuan

IEEE Transactions on Intelligent Transportation Systems, 2021

Bib PDF

@article{zhusemi,
  author = {Zhu, Yuanshao and Liu, Yi and Yu, James J.Q. and Yuan, Xingliang},
  journal = {IEEE Transactions on Intelligent Transportation Systems},
  title = {Semi-Supervised Federated Learning for Travel Mode Identification From {GPS} Trajectories},
  year = {2021},
  pages = {1-12},
}