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ORCIDYongchao Ye
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2020 – today
- 2024
[j6]Mengnan Liu
, Shuiliang Fang, Yangying Shu, Yongchao Ye, Jianfeng Xie, Huiyue Dong:
Dynamic production capacity assessment of aircraft overhaul shop based on digital twin. Comput. Ind. Eng. 194: 110360 (2024)- [j5]Ying Wu, Yongchao Ye, Adnan Zeb, James Jian Qiao Yu, Zheng Wang:
Adaptive Modeling of Uncertainties for Traffic Forecasting. IEEE Trans. Intell. Transp. Syst. 25(5): 4427-4442 (2024) - [c7]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 - [i5]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) - 2023
- [j4]Ao Wang, Yongchao Ye, Xiaozhuang Song, Shiyao Zhang, James J. Q. Yu:
Traffic Prediction With Missing Data: A Multi-Task Learning Approach. IEEE Trans. Intell. Transp. Syst. 24(4): 4189-4202 (2023) - [c6]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 - [c5]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 - [c4]Yuanshao Zhu, Yongchao Ye, Shiyao Zhang, Xiangyu Zhao, James Yu:
DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model. NeurIPS 2023 - [i4]Ying Wu, Yongchao Ye, Adnan Zeb, James J. Q. Yu, Zheng Wang:
Adaptive Modeling of Uncertainties for Traffic Forecasting. CoRR abs/2303.09273 (2023) - [i3]Yuanshao Zhu, Yongchao Ye, Xiangyu Zhao, James J. Q. Yu:
Diffusion Model for GPS Trajectory Generation. CoRR abs/2304.11582 (2023) - [i2]Adnan Zeb, Yongchao Ye, Shiyao Zhang, James J. Q. Yu:
Meta Attentive Graph Convolutional Recurrent Network for Traffic Forecasting. CoRR abs/2308.14377 (2023) - [i1]Yuanshao Zhu, Yongchao Ye, Xiangyu Zhao, James J. Q. Yu:
Enhancing Traffic Prediction with Learnable Filter Module. CoRR abs/2310.16063 (2023) - 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) - 2021
- [c3]Yongchao Ye, Shiyao Zhang, James J. Q. Yu:
Spatial-Temporal Traffic Data Imputation via Graph Attention Convolutional Network. ICANN (1) 2021: 241-252 - [c2]Xiaozhuang Song, Yongchao Ye, James J. Q. Yu:
TINet: Multi-dimensional Traffic Data Imputation via Transformer Network. ICANN (1) 2021: 306-317 - [c1]Yongchao Ye, Shuyu Zhang, James J. Q. Yu:
Traffic Data Imputation with Ensemble Convolutional Autoencoder. ITSC 2021: 1340-1345 - 2020
- [j1]Yongchao Ye, Lingjie Lao, Diqun Yan, Rangding Wang:
Identification of Weakly Pitch-Shifted Voice Based on Convolutional Neural Network. Int. J. Digit. Multim. Broadcast. 2020: 8927031:1-8927031:10 (2020)
Coauthor Index
aka: James J. Q. Yu
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