A Deep Spatial-Temporal Network for Vehicle Trajectory Prediction. - Zhiqiang Lv; Jianbo Li; Chuanhao Dong; Wei Zhao (WASA (1), 2020)

Traffic Flow Prediction Model Based on Spatio-Temporal Dilated Graph Convolution. - Xiufang Sun; Jianbo Li; Zhiqiang Lv; Chuanhao Dong (KSII Trans. Internet Inf. Syst., 2020)

Spatial and Dual-channel Temporal Convolution Networks: A Novel Method for Speed Forecasting. - Chuanhao Dong; Jianbo Li; Zhiqiang Lv; Wei Zhao (ACM TUR-C, 2021)

A Forecasting Method of Dual Traffic Condition Indicators Based on Ensemble Learning. - Chuanhao Dong; Zhiqiang Lv; Jianbo Li (ICPADS, 2021)

Deep learning in the COVID-19 epidemic: A deep model for urban traffic revitalization index. - Zhiqiang Lv; Jianbo Li; Chuanhao Dong; Haoran Li; Zhihao Xu 002 (Data Knowl. Eng., 2021)

DeepPTP: A Deep Pedestrian Trajectory Prediction Model for Traffic Intersection. - Zhiqiang Lv; Jianbo Li; Chuanhao Dong; Yue Wang 052; Haoran Li; Zhihao Xu 002 (KSII Trans. Internet Inf. Syst., 2021)

GCL-KGE: Graph Contrastive Learning for Knowledge Graph Embedding. - Qimeng Guo; Huajuan Duan; Chuanhao Dong; Peiyu Liu 001; Liancheng Xu (ICONIP (4), 2022)

CACL: Commonsense-Aware Contrastive Learning for Knowledge Graph Completion. - Chuanhao Dong; Fuyong Xu; Yuanying Wang; Peiyu Liu 001; Liancheng Xu (ICONIP (14), 2023)

Multi-attribute Graph Convolution Network for Regional Traffic Flow Prediction. - Yue Wang 052; Aite Zhao; Jianbo Li; Zhiqiang Lv; Chuanhao Dong; Haoran Li (Neural Process. Lett., 2023)

DeepSTF: A Deep Spatial-Temporal Forecast Model of Taxi Flow. - Zhiqiang Lv; Jianbo Li; Chuanhao Dong; Zhihao Xu 002 (Comput. J., 2023)