Measuring Road Network Topology Vulnerability by Ricci Curvature. - Lei Gao; Xingquan Liu; Yu Liu 003; Pu Wang 005; Min Deng; Qing Zhu; Haifeng Li 007 (CoRR, 2018)

Understanding coupling dynamics of public transportation networks. - Zhihao Zheng; Zhiren Huang; Fan Zhang 019; Pu Wang 005 (EPJ Data Sci., 2018)

AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting. - Jiawei Zhu; Chao Tao 001; Hanhan Deng; Ling Zhao 005; Pu Wang 005; Tao Lin 008; Haifeng Li 007 (CoRR, 2020)

A vehicle routing model based on large-scale radio frequency identification data. - Chengcheng Wang; Zhongzhi Xu; Ronghua Du; Haifeng Li 007; Pu Wang 005 (J. Intell. Transp. Syst., 2020)

T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction. - Ling Zhao 005; Yujiao Song; Chao Zhang; Yu Liu 003; Pu Wang 005; Tao Lin 008; Min Deng; Haifeng Li 007 (IEEE Trans. Intell. Transp. Syst., 2020)

Bridging human mobility and urban growth. - Pu Wang 005 (Nat. Comput. Sci., 2021)

Estimating Traffic Flow in Large Road Networks Based on Multi-Source Traffic Data. - Pu Wang 005; Jiyu Lai; Zhiren Huang; Qian Tan; Tao Lin 008 (IEEE Trans. Intell. Transp. Syst., 2021)

Traffic Speed Estimation Based on Multi-Source GPS Data and Mixture Model. - Pu Wang 005; Zhiren Huang; Jiyu Lai; Zhihao Zheng; Yang Liu; Tao Lin 008 (IEEE Trans. Intell. Transp. Syst., 2022)

A Two-Step Model for Predicting Travel Demand in Expanding Subways. - Kaipeng Wang; Pu Wang 005; Zhiren Huang; Ximan Ling; Fan Zhang 019; Anthony Chen (IEEE Trans. Intell. Transp. Syst., 2022)

KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting. - Jiawei Zhu; Xing Han; Hanhan Deng; Chao Tao 001; Ling Zhao 005; Pu Wang 005; Tao Lin 008; Haifeng Li 007 (IEEE Trans. Intell. Transp. Syst., 2022)

A new FCM-XGBoost system for predicting Pavement Condition Index. - Lin Lin; Shengnan Li; Kaipeng Wang; Bao Guo; Hu Yang; Wen Zhong; Pingruo Liao; Pu Wang 005 (Expert Syst. Appl., 2024)

An origin-destination passenger flow prediction system based on convolutional neural network and passenger source-based attention mechanism. - Sirui Lv; Kaipeng Wang; Hu Yang; Pu Wang 005 (Expert Syst. Appl., 2024)

Exploring the Spatiotemporal Patterns of Passenger Flows in Expanding Urban Metros: A Case Study of Shenzhen. - Sirui Lv; Hu Yang; Xin Lu 002; Fan Zhang 019; Pu Wang 005 (ISPRS Int. J. Geo Inf., 2024)

A K-Shape Clustering Based Transformer-Decoder Model for Predicting Multi-Step Potentials of Urban Mobility Field. - Hu Yang; Changxin Yan; Zhiqiang Chen; Pu Wang 005 (IEEE Trans. Intell. Transp. Syst., 2024)