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Completion and augmentation-based spatiotemporal deep learning approach for short-term metro origin-destination matrix prediction under limited observable data Journal article
Jiexia Ye, Juanjuan Zhao, Furong Zheng, Chengzhong Xu. Completion and augmentation-based spatiotemporal deep learning approach for short-term metro origin-destination matrix prediction under limited observable data[J]. NEURAL COMPUTING & APPLICATIONS, 2022, 35(4), 3325 - 3341.
Authors:  Jiexia Ye;  Juanjuan Zhao;  Furong Zheng;  Chengzhong Xu
Favorite | TC[WOS]:10 TC[Scopus]:13  IF:4.5/4.7 | Submit date：2023/01/30
Origin-destination Matrix Prediction  Destination Distribution Availability  Self-attention Mechanism  Temporal Convolution Network  
Multi-mode dynamic residual graph convolution network for traffic flow prediction Journal article
Huang, Xiaohui, Ye, Yuming, Ding, Weihua, Yang, Xiaofei, Xiong, Liyan. Multi-mode dynamic residual graph convolution network for traffic flow prediction[J]. INFORMATION SCIENCES, 2022, 609, 548-564.
Authors:  Huang, Xiaohui;  Ye, Yuming;  Ding, Weihua;  Yang, Xiaofei;  Xiong, Liyan
Favorite | TC[WOS]:22 TC[Scopus]:23  IF:0/0 | Submit date：2022/08/02
Graph Convolution Network  Multi-mode Fusion  Spatio-temporal Data  Traffic Flow Prediction