11 citations · 20 across the 6 of their papers we have counts for
6 papers
Hyperspectral Anomaly Detection via Group Sparse Low-Rank Tensor Factorization With Automatic Anomaly Grouping
Quan Yu, Yu-Hong Dai, Xiongjun Zhang
Low-rank tensor modeling has become an effective tool for hyperspectral anomaly detection. However, existing methods still suffer from high computational cost and limited flexibili…
A Multi-View Coupled Tensor Decomposition for Lightweight Online Adaptive Traffic Prediction
Quan Yu, Jie Ni, Yu-Hong Dai +1
Accurate online traffic prediction is essential for intelligent transportation systems, where forecasting must be performed continuously under imperfect sensing conditions. Missing…
Efficient Low Rank Matrix Recovery With Flexible Group Sparse Regularization
Quan Yu, Minru Bai, Xinzhen Zhang
In this paper, we present a novel approach to the low rank matrix recovery (LRMR) problem by casting it as a group sparsity problem. Specifically, we propose a flexible group spars…
Efficient Recovery of Low Rank Tensor via Triple Nonconvex Nonsmooth Rank Minimization
Quan Yu
A tensor nuclear norm (TNN) based method for solving the tensor recovery problem was recently proposed, and it has achieved state-of-the-art performance. However, it may fail to pr…
A smoothing proximal gradient algorithm for matrix rank minimization problem
Quan Yu, Xinzhen Zhang
In this paper, we study the low-rank matrix minimization problem, where the loss function is convex but nonsmooth and the penalty term is defined by the cardinality function. We fi…
Multi-Tubal Rank of Third Order Tensor and Related Low Rank Tensor Completion Problem
Quan Yu, Xinzhen Zhang, Zheng-Hai Huang
Recently, a tensor factorization based method for a low tubal rank tensor completion problem of a third order tensor was proposed, which performed better than some existing methods…