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)

TINet: Multi-dimensional Traffic Data Imputation via Transformer Network. - Xiaozhuang Song; Yongchao Ye; James J. Q. Yu (ICANN (1), 2021)

Spatial-Temporal Traffic Data Imputation via Graph Attention Convolutional Network. - Yongchao Ye; Shiyao Zhang; James J. Q. Yu (ICANN (1), 2021)

Traffic Data Imputation with Ensemble Convolutional Autoencoder. - Yongchao Ye; Shuyu Zhang 003; James J. Q. Yu (ITSC, 2021)

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)

Cross-Area Travel Time Uncertainty Estimation From Trajectory Data: A Federated Learning Approach. - Yuanshao Zhu; Yongchao Ye; Yi Liu 057; James J. Q. Yu (IEEE Trans. Intell. Transp. Syst., 2022)

Data-Driven Methods for Travel Time Estimation: A Survey. - Zhipeng Zheng; Yongchao Ye; Yuanshao Zhu; Shiyao Zhang; James J. Q. Yu (ITSC, 2023)

SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis. - Yuanshao Zhu; Yongchao Ye; Ying Wu; Xiangyu Zhao 001; James Jian Qiao Yu (NeurIPS, 2023)

DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model. - Yuanshao Zhu; Yongchao Ye; Shiyao Zhang; Xiangyu Zhao 001; James Yu (NeurIPS, 2023)

Diffusion Model for GPS Trajectory Generation. - Yuanshao Zhu; Yongchao Ye; Xiangyu Zhao 001; 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)

Enhancing Traffic Prediction with Learnable Filter Module. - Yuanshao Zhu; Yongchao Ye; Xiangyu Zhao 001; James J. Q. Yu (CoRR, 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., 2023)

ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model. - Yuanshao Zhu; James Jian Qiao Yu; Xiangyu Zhao 001; Qidong Liu 002; Yongchao Ye; Wei Chen 070; Zijian Zhang 009; Xuetao Wei; Yuxuan Liang (KDD, 2024)

Dynamic production capacity assessment of aircraft overhaul shop based on digital twin. - Mengnan Liu; Shuiliang Fang; Yangying Shu; Yongchao Ye; Jianfeng Xie; Huiyue Dong (Comput. Ind. Eng., 2024)

Diffusion-based Method for Satellite Pattern-of-Life Identification. - Yongchao Ye; Xinting Zhu; Xuejin Shen; Xiaoyu Chen; Lishuai Li; S. Joe Qin (CoRR, 2024)

Adaptive Modeling of Uncertainties for Traffic Forecasting. - Ying Wu; Yongchao Ye; Adnan Zeb; James Jian Qiao Yu; Zheng Wang 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Traffic forecasting with meta attentive graph convolutional recurrent network. - Adnan Zeb; Jianying Zheng; Yongchao Ye; Junde Chen; Shiyao Zhang; Xuetao Wei; James Jianqiao Yu (Expert Syst. Appl., 2025)

Map-Informed Trajectory Recovery With Adaptive Spatio-Temporal Autoencoder. - Yongchao Ye; Ao Wang; Adnan Zeb; Shiyao Zhang; James Jianqiao Yu (IEEE Trans. Intell. Transp. Syst., 2025)