Short-Term Forecasting of Passenger Demand under On-Demand Ride Services: A Spatio-Temporal Deep Learning Approach. - Jintao Ke; Hongyu Zheng; Hai Yang 003; Xiqun Chen (CoRR, 2017)

Ridesourcing Car Detection by Transfer Learning. - Leye Wang; Xu Geng; Jintao Ke; Chen Peng; Xiaojuan Ma; Daqing Zhang 001; Qiang Yang 001 (CoRR, 2017)

Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction. - Huaxiu Yao; Fei Wu 007; Jintao Ke; Xianfeng Tang; Yitian Jia; Siyu Lu; Pinghua Gong; Jieping Ye; Zhenhui Li (AAAI, 2018)

PCA-Based Missing Information Imputation for Real-Time Crash Likelihood Prediction Under Imbalanced Data. - Jintao Ke; Shuaichao Zhang; Hai Yang 003; Xiqun Chen (CoRR, 2018)

Optimizing Online Matching for Ride-Sourcing Services with Multi-Agent Deep Reinforcement Learning. - Jintao Ke; Feng Xiao; Hai Yang 003; Jieping Ye (CoRR, 2019)

Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network. - Jintao Ke; Xiaoran Qin; Hai Yang 003; Zhengfei Zheng; Zheng Zhu; Jieping Ye (CoRR, 2019)

Hexagon-Based Convolutional Neural Network for Supply-Demand Forecasting of Ride-Sourcing Services. - Jintao Ke; Hai Yang 003; Hongyu Zheng; Xiqun Chen; Yitian Jia; Pinghua Gong; Jieping Ye (IEEE Trans. Intell. Transp. Syst., 2019)

Competitive ride-sourcing market with a third-party integrator. - Yaqian Zhou 005; Hai Yang 003; Jintao Ke; Hai Wang; Xinwei Li (CoRR, 2020)

Joint predictions of multi-modal ride-hailing demands: a deep multi-task multigraph learning-based approach. - Jintao Ke; Siyuan Feng; Zheng Zhu; Hai Yang 003; Jieping Ye (CoRR, 2020)

A Multi-Task Matrix Factorized Graph Neural Network for Co-Prediction of Zone-Based and OD-Based Ride-Hailing Demand. - Siyuan Feng; Jintao Ke; Hai Yang 003; Jieping Ye (IEEE Trans. Intell. Transp. Syst., 2022)

Learning to Delay in Ride-Sourcing Systems: A Multi-Agent Deep Reinforcement Learning Framework. - Jintao Ke; Feng Xiao; Hai Yang 003; Jieping Ye (IEEE Trans. Knowl. Data Eng., 2022)

A multi-functional simulation platform for on-demand ride service operations. - Siyuan Feng; Taijie Chen; Yuhao Zhang; Jintao Ke; Hai Yang (CoRR, 2023)

Scaling Laws of Dynamic High-Capacity Ride-Sharing. - Wang Chen; Jintao Ke; Linchuan Yang (CoRR, 2023)

Quantifying traffic emission reductions and traffic congestion alleviation from high-capacity ride-sharing. - Wang Chen; Jintao Ke; Xiqun Chen (CoRR, 2023)

Dynamic Adjustment of Matching Radii under the Broadcasting Mode: A Novel Multitask Learning Strategy and Temporal Modeling Approach. - Taijie Chen; Zijian Shen; Siyuan Feng; Linchuan Yang; Jintao Ke (CoRR, 2023)

A Poisson-Based Distribution Learning Framework for Short-Term Prediction of Food Delivery Demand Ranges. - Jian Liang; Jintao Ke; Hai Wang 011; Hongbo Ye; Jinjun Tang (IEEE Trans. Intell. Transp. Syst., 2023)

Development dilemma of ride-sharing: Revenue or social welfare? - Wang Chen; Guan Huang; Jintao Ke (CoRR, 2024)

Real-time ergonomic risk assessment in construction using a co-learning-powered 3D human pose estimation model. - Wang Chen; Donglian Gu; Jintao Ke (Comput. Aided Civ. Infrastructure Eng., 2024)

Seeking in Ride-on-Demand Service: A Reinforcement Learning Model With Dynamic Price Prediction. - Suiming Guo; Baoying Deng; Chao Chen 004; Jintao Ke; Jingyuan Wang 001; Saiqin Long; Ke Xu 002 (IEEE Internet Things J., 2024)

HRSim: An agent-based simulation platform for high-capacity ride-sharing services. - Wang Chen; Hongzheng Shi; Jintao Ke (CoRR, 2025)