Jintao Ke

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 18

Top Topics

Demand Forecasting

Multitask Learning

Traffic Congestion

Top Venues

IEEE Trans. Intell. Transp. Syst.

Comput. Aided Civ. Infrastructure Eng.

Publications

Wang Chen, Donglian Gu, Jintao Ke
Real-time ergonomic risk assessment in construction using a co-learning-powered 3D human pose estimation model. Comput. Aided Civ. Infrastructure Eng. 39 (9) (2024)
Wang Chen, Jintao Ke, Xiqun Chen
Quantifying traffic emission reductions and traffic congestion alleviation from high-capacity ride-sharing. CoRR (2023)
Siyuan Feng, Taijie Chen, Yuhao Zhang, Jintao Ke, Hai Yang
A multi-functional simulation platform for on-demand ride service operations. CoRR (2023)
Taijie Chen, Zijian Shen, Siyuan Feng, Linchuan Yang, Jintao Ke
Dynamic Adjustment of Matching Radii under the Broadcasting Mode: A Novel Multitask Learning Strategy and Temporal Modeling Approach. CoRR (2023)
Wang Chen, Jintao Ke, Linchuan Yang
Scaling Laws of Dynamic High-Capacity Ride-Sharing. CoRR (2023)
Jian Liang, Jintao Ke, Hai Wang, Hongbo Ye, Jinjun Tang
A Poisson-Based Distribution Learning Framework for Short-Term Prediction of Food Delivery Demand Ranges. IEEE Trans. Intell. Transp. Syst. 24 (12) (2023)
Siyuan Feng, Jintao Ke, Hai Yang, Jieping Ye
A Multi-Task Matrix Factorized Graph Neural Network for Co-Prediction of Zone-Based and OD-Based Ride-Hailing Demand. IEEE Trans. Intell. Transp. Syst. 23 (6) (2022)
Jintao Ke, Feng Xiao, Hai Yang, Jieping Ye
Learning to Delay in Ride-Sourcing Systems: A Multi-Agent Deep Reinforcement Learning Framework. IEEE Trans. Knowl. Data Eng. 34 (5) (2022)
Yaqian Zhou, Hai Yang, Jintao Ke, Hai Wang, Xinwei Li
Competitive ride-sourcing market with a third-party integrator. CoRR (2020)
Jintao Ke, Siyuan Feng, Zheng Zhu, Hai Yang, Jieping Ye
Joint predictions of multi-modal ride-hailing demands: a deep multi-task multigraph learning-based approach. CoRR (2020)
Jintao Ke, Xiaoran Qin, Hai Yang, Zhengfei Zheng, Zheng Zhu, Jieping Ye
Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network. CoRR (2019)
Jintao Ke, Hai Yang, Hongyu Zheng, Xiqun Chen, Yitian Jia, Pinghua Gong, Jieping Ye
Hexagon-Based Convolutional Neural Network for Supply-Demand Forecasting of Ride-Sourcing Services. IEEE Trans. Intell. Transp. Syst. 20 (11) (2019)
Jintao Ke, Feng Xiao, Hai Yang, Jieping Ye
Optimizing Online Matching for Ride-Sourcing Services with Multi-Agent Deep Reinforcement Learning. CoRR (2019)
Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction. CoRR (2018)
Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction. AAAI (2018)
Jintao Ke, Shuaichao Zhang, Hai Yang, Xiqun Chen
PCA-Based Missing Information Imputation for Real-Time Crash Likelihood Prediction Under Imbalanced Data. CoRR (2018)
Leye Wang, Xu Geng, Jintao Ke, Chen Peng, Xiaojuan Ma, Daqing Zhang, Qiang Yang
Ridesourcing Car Detection by Transfer Learning. CoRR (2017)
Jintao Ke, Hongyu Zheng, Hai Yang, Xiqun Chen
Short-Term Forecasting of Passenger Demand under On-Demand Ride Services: A Spatio-Temporal Deep Learning Approach. CoRR (2017)