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Joint predictions of multi-modal ride-hailing demands: a deep multi-task multigraph learning-based approach


Nov 11, 2020
Jintao Ke, Siyuan Feng, Zheng Zhu, Hai Yang, Jieping Ye


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Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network


Oct 17, 2019
Jintao Ke, Xiaoran Qin, Hai Yang, Zhengfei Zheng, Zheng Zhu, Jieping Ye


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Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction


Feb 27, 2018
Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li

* AAAI 2018 paper 

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PCA-Based Missing Information Imputation for Real-Time Crash Likelihood Prediction Under Imbalanced Data


Feb 11, 2018
Jintao Ke, Shuaichao Zhang, Hai Yang, Xiqun Chen


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


Jun 20, 2017
Jintao Ke, Hongyu Zheng, Hai Yang, Xiqun, Chen

* Transportation Research Part C: Emerging Technologies, Volume 85, Pages 591-608, 2017 
* 39 pages, 10 figures 

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Ridesourcing Car Detection by Transfer Learning


May 23, 2017
Leye Wang, Xu Geng, Jintao Ke, Chen Peng, Xiaojuan Ma, Daqing Zhang, Qiang Yang


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