Jintao Ke
Orcid: 0000-0001-9778-3387
According to our database1,
Jintao Ke authored at least 23 papers
between 2017 and 2026.
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Bibliography
2026
D<sup>3</sup>-Subsidy: Online and Sequential Driver Subsidy Decision-Making for Large-Scale Ride-Hailing Market.
CoRR, May, 2026
2025
T2BR: A Hierarchical Repositioning Approach for Autonomous Mobility on Demand Systems.
IEEE Trans. Intell. Transp. Syst., December, 2025
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025
2024
Seeking in Ride-on-Demand Service: A Reinforcement Learning Model With Dynamic Price Prediction.
IEEE Internet Things J., September, 2024
Real-time ergonomic risk assessment in construction using a co-learning-powered 3D human pose estimation model.
Comput. Aided Civ. Infrastructure Eng., May, 2024
2023
A Poisson-Based Distribution Learning Framework for Short-Term Prediction of Food Delivery Demand Ranges.
IEEE Trans. Intell. Transp. Syst., December, 2023
Dynamic Adjustment of Matching Radii under the Broadcasting Mode: A Novel Multitask Learning Strategy and Temporal Modeling Approach.
CoRR, 2023
Quantifying traffic emission reductions and traffic congestion alleviation from high-capacity ride-sharing.
CoRR, 2023
CoRR, 2023
2022
Learning to Delay in Ride-Sourcing Systems: A Multi-Agent Deep Reinforcement Learning Framework.
IEEE Trans. Knowl. Data Eng., 2022
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., 2022
2020
Joint predictions of multi-modal ride-hailing demands: a deep multi-task multigraph learning-based approach.
CoRR, 2020
2019
Hexagon-Based Convolutional Neural Network for Supply-Demand Forecasting of Ride-Sourcing Services.
IEEE Trans. Intell. Transp. Syst., 2019
Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network.
CoRR, 2019
Optimizing Online Matching for Ride-Sourcing Services with Multi-Agent Deep Reinforcement Learning.
CoRR, 2019
2018
PCA-Based Missing Information Imputation for Real-Time Crash Likelihood Prediction Under Imbalanced Data.
CoRR, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Short-Term Forecasting of Passenger Demand under On-Demand Ride Services: A Spatio-Temporal Deep Learning Approach.
CoRR, 2017