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2020 – today
- 2024
[c10]Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang:
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning. IJCAI 2024: 2243-2251- [c9]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: 4676-4687 - [c8]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: 1104-1114 - [i12]Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Zijian Zhang, Feng Tian, Yefeng Zheng:
Large Language Model Distilling Medication Recommendation Model. CoRR abs/2402.02803 (2024) - [i11]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 abs/2403.14151 (2024) - [i10]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 abs/2404.14073 (2024) - [i9]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 abs/2404.15380 (2024) - [i8]Qidong Liu, Xian Wu, Wanyu Wang, Yejing Wang, Yuanshao Zhu, Xiangyu Zhao, Feng Tian, Yefeng Zheng:
Large Language Model Empowered Embedding Generator for Sequential Recommendation. CoRR abs/2409.19925 (2024) - [i7]Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao, Xuetao Wei, Yuxuan Liang:
UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces. CoRR abs/2411.03859 (2024) - 2023
- [j6]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): 8236-8252 (2023) - [c7]Zhipeng Zheng, Yongchao Ye, Yuanshao Zhu, Shiyao Zhang, James J. Q. Yu:
Data-Driven Methods for Travel Time Estimation: A Survey. ITSC 2023: 1292-1299 - [c6]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 - [c5]Yuanshao Zhu, Yongchao Ye, Shiyao Zhang, Xiangyu Zhao, James Yu:
DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model. NeurIPS 2023 - [c4]Weilin Lin, Xiangyu Zhao, Yejing Wang, Yuanshao Zhu, Wanyu Wang:
AutoDenoise: Automatic Data Instance Denoising for Recommendations. WWW 2023: 1003-1011 - [i6]Weilin Lin, Xiangyu Zhao, Yejing Wang, Yuanshao Zhu, Wanyu Wang:
AutoDenoise: Automatic Data Instance Denoising for Recommendations. CoRR abs/2303.06611 (2023) - [i5]Yunjie Huang, Xiaozhuang Song, Yuanshao Zhu, Shiyao Zhang, James J. Q. Yu:
Traffic Prediction with Transfer Learning: A Mutual Information-based Approach. CoRR abs/2303.07184 (2023) - [i4]Yuanshao Zhu, Yongchao Ye, Xiangyu Zhao, James J. Q. Yu:
Diffusion Model for GPS Trajectory Generation. CoRR abs/2304.11582 (2023) - [i3]Yuanshao Zhu, Yongchao Ye, Xiangyu Zhao, James J. Q. Yu:
Enhancing Traffic Prediction with Learnable Filter Module. CoRR abs/2310.16063 (2023) - [i2]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 abs/2310.18339 (2023) - 2022
- [j5]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): 11868-11882 (2022) - [j4]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): 2380-2391 (2022) - [j3]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): 24389-24400 (2022) - [j2]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): 24966-24978 (2022) - [j1]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): 3166-3178 (2022) - 2021
- [c3]Yuanshao Zhu, Christos Markos, James J. Q. Yu:
Improving Transportation Mode Identification with Limited GPS Trajectories. ICTAI 2021: 655-660 - [c2]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: 1-7 - [i1]Yi Liu, Yuanshao Zhu, James J. Q. Yu:
Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis. CoRR abs/2110.07567 (2021) - 2020
- [c1]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: 585-592
Coauthor Index
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