Scalable Low-Rank Tensor Learning for Spatiotemporal Traffic Data
Imputation

Scalable Low-Rank Tensor Learning for Spatiotemporal Traffic Data Imputation

7 August 2020

Xinyu Chen

Nicolas Saunier

Papers citing "Scalable Low-Rank Tensor Learning for Spatiotemporal Traffic Data Imputation"

6 / 6 papers shown

Title
Large-Scale Traffic Data Imputation with Spatiotemporal Semantic Understanding Kunpeng Zhang Lan Wu Liang Zheng Na Xie Zhengbing He AI4TS 29 1 0 27 Jan 2023
Laplacian Convolutional Representation for Traffic Time Series Imputation Xinyu Chen Zhanhong Cheng HanQin Cai Nicolas Saunier Lijun Sun AI4TS 30 16 0 03 Dec 2022
A Parameter-free Nonconvex Low-rank Tensor Completion Model for Spatiotemporal Traffic Data Recovery Yang He Yuheng Jia Liyang Hu Chengchuan An Zhenbo Lu Jingxin Xia 32 2 0 28 Sep 2022
A Nonconvex Low-Rank Tensor Completion Model for Spatiotemporal Traffic Data Imputation Xinyu Chen Jin-Ming Yang Lijun Sun AI4TS 34 135 0 23 Mar 2020
Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm Canyi Lu Jiashi Feng Yudong Chen Wei Liu Zhouchen Lin Shuicheng Yan 56 737 0 10 Apr 2018
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 246 1,900 0 06 Jun 2016