Geographic and Temporal Deep Learning Method for Traffic Flow Prediction in Highway Network. - Tianpu Zhang; Weilong Ding; Mengda Xing; Jun Chen; Yongkang Du; Ying Liang (CollaborateCom (2), 2021)

A Graph Convolutional Method for Traffic Flow Prediction in Highway Network. - Tianpu Zhang; Weilong Ding; Tao Chen; Zhe Wang; Jun Chen (Wirel. Commun. Mob. Comput., 2021)

STDA-Meta: A Meta-Learning Framework for Few-Shot Traffic Prediction. - Maoxiang Sun; Weilong Ding; Tianpu Zhang; Zijian Liu; Mengda Xing; Jihai Huang (ICPADS, 2023)

Multi-graph Spatio-temporal Graph Convolutional Network for Traffic Flow Prediction. - Weilong Ding; Tianpu Zhang; Jianwu Wang 001; Zhuofeng Zhao (CoRR, 2023)

Phased Deep Spatio-temporal Learning for Highway Traffic Volume Prediction. - Weilong Ding; Tianpu Zhang; Zhe Wang (CoRR, 2023)

Attention-based Dynamic Graph Convolutional Recurrent Neural Network for Traffic Flow Prediction in Highway Transportation. - Tianpu Zhang; Weilong Ding; Mengda Xing (CoRR, 2023)

STDA-Meta: A Meta-Learning Framework for Few-Shot Traffic Prediction. - Maoxiang Sun; Weilong Ding; Tianpu Zhang; Zijian Liu; Mengda Xing (CoRR, 2023)

STCGCN: a spatio-temporal complete graph convolutional network for remaining useful life prediction of power transformer. - Mengda Xing; Weilong Ding; Tianpu Zhang; Han Li (Int. J. Web Inf. Syst., 2023)

Rethinking Attention Mechanism for Spatio-Temporal Modeling: A Decoupling Perspective in Traffic Flow Prediction. - Qi Yu; Weilong Ding; Hao Zhang; Yang Yang; Tianpu Zhang (CIKM, 2024)

Multi-Graph Spatio-Temporal Convolution for Traffic Flow Prediction Focusing on Edge Derived Imbalanced Data From Highway Electronics. - Weilong Ding; Tianpu Zhang; Honghao Gao; Qi Yu; Jianwu Wang 001; Zhuofeng Zhao (IEEE Trans. Consumer Electron., 2025)