Jintao Ke

Orcid: 0000-0001-9778-3387

According to our database1, Jintao Ke authored at least 18 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

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

Scaling Laws of Dynamic High-Capacity Ride-Sharing.
CoRR, 2023

A multi-functional simulation platform for on-demand ride service operations.
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

Competitive ride-sourcing market with a third-party integrator.
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

Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Ridesourcing Car Detection by Transfer Learning.
CoRR, 2017

Short-Term Forecasting of Passenger Demand under On-Demand Ride Services: A Spatio-Temporal Deep Learning Approach.
CoRR, 2017


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