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ORCIDJintao Ke
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2020 – today
- 2024
[j6]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): 1337-1353 (2024)- [j5]Suiming Guo, Baoying Deng, Chao Chen, Jintao Ke, Jingyuan Wang, Saiqin Long, Ke Xu:
Seeking in Ride-on-Demand Service: A Reinforcement Learning Model With Dynamic Price Prediction. IEEE Internet Things J. 11(18): 29890-29910 (2024) - 2023
- [j4]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): 14556-14569 (2023) - [i12]Siyuan Feng, Taijie Chen, Yuhao Zhang, Jintao Ke, Hai Yang:
A multi-functional simulation platform for on-demand ride service operations. CoRR abs/2303.12336 (2023) - [i11]Wang Chen, Jintao Ke, Linchuan Yang:
Scaling Laws of Dynamic High-Capacity Ride-Sharing. CoRR abs/2305.07236 (2023) - [i10]Wang Chen, Jintao Ke, Xiqun Chen:
Quantifying traffic emission reductions and traffic congestion alleviation from high-capacity ride-sharing. CoRR abs/2308.10512 (2023) - [i9]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 abs/2312.05576 (2023) - 2022
- [j3]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): 5704-5716 (2022) - [j2]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): 2280-2292 (2022) - 2020
- [i8]Yaqian Zhou, Hai Yang, Jintao Ke, Hai Wang, Xinwei Li:
Competitive ride-sourcing market with a third-party integrator. CoRR abs/2008.09815 (2020) - [i7]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 abs/2011.05602 (2020)
2010 – 2019
- 2019
- [j1]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): 4160-4173 (2019) - [i6]Jintao Ke, Feng Xiao, Hai Yang, Jieping Ye:
Optimizing Online Matching for Ride-Sourcing Services with Multi-Agent Deep Reinforcement Learning. CoRR abs/1902.06228 (2019) - [i5]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 abs/1910.09103 (2019) - 2018
- [c1]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: 2588-2595 - [i4]Jintao Ke, Shuaichao Zhang, Hai Yang, Xiqun Chen:
PCA-Based Missing Information Imputation for Real-Time Crash Likelihood Prediction Under Imbalanced Data. CoRR abs/1802.03699 (2018) - [i3]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 abs/1802.08714 (2018) - 2017
- [i2]Leye Wang, Xu Geng, Jintao Ke, Chen Peng, Xiaojuan Ma, Daqing Zhang, Qiang Yang:
Ridesourcing Car Detection by Transfer Learning. CoRR abs/1705.08409 (2017) - [i1]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 abs/1706.06279 (2017)
Coauthor Index
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