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Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging

Sep 24, 2021
Yuankai Wu, Dingyi Zhuang, Mengying Lei, Aurelie Labbe, Lijun Sun

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Individual Mobility Prediction via Attentive Marked Temporal Point Processes

Sep 06, 2021
Yuankai Wu, Zhanhong Cheng, Lijun Sun

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Low-Rank Hankel Tensor Completion for Traffic Speed Estimation

May 21, 2021
Xudong Wang, Yuankai Wu, Dingyi Zhuang, Lijun Sun

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BreakingBED -- Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks

Mar 14, 2021
Manoj Rohit Vemparala, Alexander Frickenstein, Nael Fasfous, Lukas Frickenstein, Qi Zhao, Sabine Kuhn, Daniel Ehrhardt, Yuankai Wu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele

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Towards Efficient Connected and Automated Driving System via Multi-agent Graph Reinforcement Learning

Jul 08, 2020
Tianyu Shi, Jiawei Wang, Yuankai Wu, Lijun Sun

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Inductive Graph Neural Networks for Spatiotemporal Kriging

Jun 13, 2020
Yuankai Wu, Dingyi Zhuang, Aurelie Labbe, Lijun Sun

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Non-recurrent Traffic Congestion Detection with a Coupled Scalable Bayesian Robust Tensor Factorization Model

May 10, 2020
Qin Li, Huachun Tan, Xizhu Jiang, Yuankai Wu, Linhui Ye

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Differential Variable Speed Limits Control for Freeway Recurrent Bottlenecks via Deep Reinforcement learning

Oct 25, 2018
Yuankai Wu, Huachun Tan, Bin Ran

* 24 pages, 7 figures, 1 table 

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Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework

Dec 03, 2016
Yuankai Wu, Huachun Tan

* 14 pages 

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