Jintao Ke - RankMe

24 papers A* 1Journal 22Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	HRSim: An Agent-Based Simulation Platform for High-Capacity Ride-Sharing Services. ITSC Wang Chen, Hongzheng Shi, Jintao Ke
2025	J	`jnl`	HRSim: An agent-based simulation platform for high-capacity ride-sharing services. CoRR Wang Chen, Hongzheng Shi, Jintao Ke
2025	J	`jnl`	T2BR: A Hierarchical Repositioning Approach for Autonomous Mobility on Demand Systems. IEEE Trans. Intell. Transp. Syst. Taijie Chen, Jingyun Liu, Siyuan Feng, Jiandong Qiu, Jintao Ke
2025	J	`jnl`	Theory Foundation of Physics-Enhanced Residual Learning. CoRR Shixiao Liang, Wang Chen, Keke Long, Peng Zhang, Xiaopeng Li, Jintao Ke
2024	J	`jnl`	Development dilemma of ride-sharing: Revenue or social welfare? CoRR Wang Chen, Guan Huang, Jintao Ke
2024	J	`jnl`	Real-time ergonomic risk assessment in construction using a co-learning-powered 3D human pose estimation model. Comput. Aided Civ. Infrastructure Eng. Wang Chen, Donglian Gu, Jintao Ke
2024	J	`jnl`	Seeking in Ride-on-Demand Service: A Reinforcement Learning Model With Dynamic Price Prediction. IEEE Internet Things J. Suiming Guo, Baoying Deng, Chao Chen, Jintao Ke, Jingyuan Wang, Saiqin Long, Ke Xu
2023	J	`jnl`	A Poisson-Based Distribution Learning Framework for Short-Term Prediction of Food Delivery Demand Ranges. IEEE Trans. Intell. Transp. Syst. Jian Liang, Jintao Ke, Hai Wang, Hongbo Ye, Jinjun Tang
2023	J	`jnl`	A multi-functional simulation platform for on-demand ride service operations. CoRR Siyuan Feng, Taijie Chen, Yuhao Zhang, Jintao Ke, Hai Yang
2023	J	`jnl`	Dynamic Adjustment of Matching Radii under the Broadcasting Mode: A Novel Multitask Learning Strategy and Temporal Modeling Approach. CoRR Taijie Chen, Zijian Shen, Siyuan Feng, Linchuan Yang, Jintao Ke
2023	J	`jnl`	Quantifying traffic emission reductions and traffic congestion alleviation from high-capacity ride-sharing. CoRR Wang Chen, Jintao Ke, Xiqun Chen
2023	J	`jnl`	Scaling Laws of Dynamic High-Capacity Ride-Sharing. CoRR Wang Chen, Jintao Ke, Linchuan Yang
2022	J	`jnl`	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. Siyuan Feng, Jintao Ke, Hai Yang, Jieping Ye
2022	J	`jnl`	Learning to Delay in Ride-Sourcing Systems: A Multi-Agent Deep Reinforcement Learning Framework. IEEE Trans. Knowl. Data Eng. Jintao Ke, Feng Xiao, Hai Yang, Jieping Ye
2020	J	`jnl`	Competitive ride-sourcing market with a third-party integrator. CoRR Yaqian Zhou, Hai Yang, Jintao Ke, Hai Wang, Xinwei Li
2020	J	`jnl`	Joint predictions of multi-modal ride-hailing demands: a deep multi-task multigraph learning-based approach. CoRR Jintao Ke, Siyuan Feng, Zheng Zhu, Hai Yang, Jieping Ye
2019	J	`jnl`	Hexagon-Based Convolutional Neural Network for Supply-Demand Forecasting of Ride-Sourcing Services. IEEE Trans. Intell. Transp. Syst. Jintao Ke, Hai Yang, Hongyu Zheng, Xiqun Chen, Yitian Jia, Pinghua Gong, Jieping Ye
2019	J	`jnl`	Optimizing Online Matching for Ride-Sourcing Services with Multi-Agent Deep Reinforcement Learning. CoRR Jintao Ke, Feng Xiao, Hai Yang, Jieping Ye
2019	J	`jnl`	Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network. CoRR Jintao Ke, Xiaoran Qin, Hai Yang, Zhengfei Zheng, Zheng Zhu, Jieping Ye
2018	A*	`conf`	Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction. AAAI Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li
2018	J	`jnl`	Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction. CoRR Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li
2018	J	`jnl`	PCA-Based Missing Information Imputation for Real-Time Crash Likelihood Prediction Under Imbalanced Data. CoRR Jintao Ke, Shuaichao Zhang, Hai Yang, Xiqun Chen
2017	J	`jnl`	Ridesourcing Car Detection by Transfer Learning. CoRR Leye Wang, Xu Geng, Jintao Ke, Chen Peng, Xiaojuan Ma, Daqing Zhang, Qiang Yang
2017	J	`jnl`	Short-Term Forecasting of Passenger Demand under On-Demand Ride Services: A Spatio-Temporal Deep Learning Approach. CoRR Jintao Ke, Hongyu Zheng, Hai Yang, Xiqun Chen