Yongchao Ye

According to our database, Yongchao Ye authored at least 14 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Traffic Prediction With Missing Data: A Multi-Task Learning Approach.

Ao Wang, Yongchao Ye, Xiaozhuang Song, Shiyao Zhang, James J. Q. Yu

IEEE Trans. Intell. Transp. Syst., April, 2023

Enhancing Traffic Prediction with Learnable Filter Module.

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

CoRR, 2023

Meta Attentive Graph Convolutional Recurrent Network for Traffic Forecasting.

Adnan Zeb, Yongchao Ye, Shiyao Zhang, James J. Q. Yu

CoRR, 2023

Diffusion Model for GPS Trajectory Generation.

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

CoRR, 2023

Adaptive Modeling of Uncertainties for Traffic Forecasting.

Ying Wu, Yongchao Ye, Adnan Zeb, James J. Q. Yu, Zheng Wang

CoRR, 2023

DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model.

Yuanshao Zhu, Yongchao Ye, Shiyao Zhang, Xiangyu Zhao, James Yu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Yuanshao Zhu, Yongchao Ye, Ying Wu, Xiangyu Zhao, James Jian Qiao Yu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Data-Driven Methods for Travel Time Estimation: A Survey.

Zhipeng Zheng, Yongchao Ye, Yuanshao Zhu, Shiyao Zhang, James J. Q. Yu

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

Cross-Area Travel Time Uncertainty Estimation From Trajectory Data: A Federated Learning Approach.

Yuanshao Zhu, Yongchao Ye, Yi Liu, James J. Q. Yu

IEEE Trans. Intell. Transp. Syst., 2022

CatETA: A Categorical Approximate Approach for Estimating Time of Arrival.

Yongchao Ye, Yuanshao Zhu, Christos Markos, James J. Q. Yu

IEEE Trans. Intell. Transp. Syst., 2022

2021

Traffic Data Imputation with Ensemble Convolutional Autoencoder.

Yongchao Ye, Shuyu Zhang, James J. Q. Yu

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Spatial-Temporal Traffic Data Imputation via Graph Attention Convolutional Network.

Yongchao Ye, Shiyao Zhang, James J. Q. Yu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

TINet: Multi-dimensional Traffic Data Imputation via Transformer Network.

Xiaozhuang Song, Yongchao Ye, James J. Q. Yu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Identification of Weakly Pitch-Shifted Voice Based on Convolutional Neural Network.

Yongchao Ye, Lingjie Lao, Diqun Yan, Rangding Wang

Int. J. Digit. Multim. Broadcast., 2020