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CityNet: A Multi-city Multi-modal Dataset for Smart City Applications



Xu Geng , Yilun Jin , Zhengfei Zheng , Yu Yang , Yexin Li , Han Tian , Peibo Duan , Leye Wang , Jiannong Cao , Hai Yang , Qiang Yang , Kai Chen


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



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



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



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



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



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


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