Ruimin Ke

Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting

Zhiyong Cui, Kristian Henrickson, Ruimin Ke et al. · IEEE Transactions on Intelligent Transportation Systems · 2019 · 915 citations

Geometric Learning, Convolutional Neural Network, Internet Traffic Analysis +20

Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values

Zhiyong Cui, Ruimin Ke, Ziyuan Pu et al. · Transportation Research Part C Emerging Technologies · 2020 · 437 citations

Intelligent Forecasting, Forecasting Methodology, Engineering +8

Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving

Meixin Zhu, Yinhai Wang, Ziyuan Pu et al. · Transportation Research Part C Emerging Technologies · 2020 · 430 citations · Full text

Trajectory Planning, Engineering, Aerospace Engineering +9

Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction

Zhiyong Cui, Ruimin Ke · arXiv (Cornell University) · 2018 · 397 citations · Full text

Intelligent Traffic Management, Deep Neural Networks, Engineering +15

Real-Time Traffic Flow Parameter Estimation From UAV Video Based on Ensemble Classifier and Optical Flow

Ruimin Ke, Zhibin Li, Jinjun Tang et al. · IEEE Transactions on Intelligent Transportation Systems · 2018 · 280 citations

Image Analysis, Machine Vision, Uav Video +15