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08/02/2023
Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach
Time series analysis is a fundamental task in various application domain...
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12/12/2022
Spatial-temporal traffic modeling with a fusion graph reconstructed by tensor decomposition
Accurate spatial-temporal traffic flow forecasting is essential for help...
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07/14/2022
Spatiotemporal Propagation Learning for Network-Wide Flight Delay Prediction
Demystifying the delay propagation mechanisms among multiple airports is...
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09/24/2021
Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging
Spatiotemporal kriging is an important application in spatiotemporal dat...
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09/06/2021
Individual Mobility Prediction via Attentive Marked Temporal Point Processes
Individual mobility prediction is an essential task for transportation d...
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05/21/2021
Low-Rank Hankel Tensor Completion for Traffic Speed Estimation
This paper studies the traffic state estimation (TSE) problem using spar...
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03/14/2021
BreakingBED – Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks
Deploying convolutional neural networks (CNNs) for embedded applications...
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06/13/2020
Inductive Graph Neural Networks for Spatiotemporal Kriging
Time series forecasting and spatiotemporal kriging are the two most impo...
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05/10/2020
Non-recurrent Traffic Congestion Detection with a Coupled Scalable Bayesian Robust Tensor Factorization Model
Non-recurrent traffic congestion (NRTC) usually brings unexpected delays...
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05/10/2019
ES-CTC: A Deep Neuroevolution Model for Cooperative Intelligent Freeway Traffic Control
Cooperative intelligent freeway traffic control is an important applicat...
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10/25/2018
Differential Variable Speed Limits Control for Freeway Recurrent Bottlenecks via Deep Reinforcement learning
Variable speed limits (VSL) control is a flexible way to improve traffic...
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12/03/2016
