Yongchao Ye

22 papers A* 3Journal 15Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning Satellite Pattern-of-Life Identification: A Diffusion-Based Approach.
IEEE Trans. Aerosp. Electron. Syst.
Yongchao Ye, Xinting Zhu, Xuejin Shen, Xiaoyu Chen, S. Joe Qin, Lishuai Li
2025 J jnl
Map-Informed Trajectory Recovery With Adaptive Spatio-Temporal Autoencoder.
IEEE Trans. Intell. Transp. Syst.
Yongchao Ye, Ao Wang, Adnan Zeb, Shiyao Zhang, James Jianqiao Yu
2025 J jnl
Traffic forecasting with meta attentive graph convolutional recurrent network.
Expert Syst. Appl.
Adnan Zeb, Jianying Zheng, Yongchao Ye, Junde Chen, Shiyao Zhang, Xuetao Wei, James Jianqiao Yu
2024 J jnl
Adaptive Modeling of Uncertainties for Traffic Forecasting.
IEEE Trans. Intell. Transp. Syst.
Ying Wu, Yongchao Ye, Adnan Zeb, James Jian Qiao Yu, Zheng Wang
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
Diffusion-based Method for Satellite Pattern-of-Life Identification.
CoRR
Yongchao Ye, Xinting Zhu, Xuejin Shen, Xiaoyu Chen, Lishuai Li, S. Joe Qin
2024 J jnl
Dynamic production capacity assessment of aircraft overhaul shop based on digital twin.
Comput. Ind. Eng.
Mengnan Liu, Shuiliang Fang, Yangying Shu, Yongchao Ye, Jianfeng Xie, HuiYue Dong
2023 J jnl
Adaptive Modeling of Uncertainties for Traffic Forecasting.
CoRR
Ying Wu, Yongchao Ye, Adnan Zeb, James J. Q. Yu, Zheng 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
Meta Attentive Graph Convolutional Recurrent Network for Traffic Forecasting.
CoRR
Adnan Zeb, Yongchao Ye, Shiyao Zhang, James J. Q. Yu
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 Missing Data: A Multi-Task Learning Approach.
IEEE Trans. Intell. Transp. Syst.
Ao Wang, Yongchao Ye, Xiaozhuang Song, 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
2021 — conf
Spatial-Temporal Traffic Data Imputation via Graph Attention Convolutional Network.
ICANN (1)
Yongchao Ye, Shiyao Zhang, James J. Q. Yu
2021 — conf
TINet: Multi-dimensional Traffic Data Imputation via Transformer Network.
ICANN (1)
Xiaozhuang Song, Yongchao Ye, James J. Q. Yu
2021 — conf
Traffic Data Imputation with Ensemble Convolutional Autoencoder.
ITSC
Yongchao Ye, Shuyu Zhang, James J. Q. Yu
2020 J jnl
Identification of Weakly Pitch-Shifted Voice Based on Convolutional Neural Network.
Int. J. Digit. Multim. Broadcast.
Yongchao Ye, Lingjie Lao, Diqun Yan, Rangding Wang