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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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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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A Physarum-Inspired Approach to Optimal Supply Chain Network Design at Minimum Total Cost with Demand Satisfaction


Mar 21, 2014
Xiaoge Zhang, Andrew Adamatzky, Xin-She Yang, Hai Yang, Sankaran Mahadevan, Yong Deng


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