activity
20102021
most citedFusformer: A Transformer-based Fusion Approach for Hyperspectral Image Super-resolution

218 citations · 1.3k across the 35 of their papers we have counts for

collaborators

37 papers

cs.CV2021

A Triple-Double Convolutional Neural Network for Panchromatic Sharpening

Tian-Jing Zhang, Liang-Jian Deng, Ting-Zhu Huang +2

Pansharpening refers to the fusion of a panchromatic image with a high spatial resolution and a multispectral image with a low spatial resolution, aiming to obtain a high spatial r…

cs.CV2021★ 3 cited

Nonlinear Transform Induced Tensor Nuclear Norm for Tensor Completion

Ben-Zheng Li, Xi-Le Zhao, Teng-Yu Ji +2

The linear transform-based tensor nuclear norm (TNN) methods have recently obtained promising results for tensor completion. The main idea of this type of methods is exploiting the…

cs.CV2021

Fully-Connected Tensor Network Decomposition for Robust Tensor Completion Problem

Yun-Yang Liu, Xi-Le Zhao, Guang-Jing Song +2

The robust tensor completion (RTC) problem, which aims to reconstruct a low-rank tensor from partially observed tensor contaminated by a sparse tensor, has received increasing atte…

cs.CV2021★ 218 cited

Fusformer: A Transformer-based Fusion Approach for Hyperspectral Image Super-resolution

Jin-Fan Hu, Ting-Zhu Huang, Liang-Jian Deng

Hyperspectral image has become increasingly crucial due to its abundant spectral information. However, It has poor spatial resolution with the limitation of the current imaging mec…

eess.SP2020★ 85 cited

Hyperspectral Super-Resolution via Interpretable Block-Term Tensor Modeling

Meng Ding, Xiao Fu, Ting-Zhu Huang +2

This work revisits coupled tensor decomposition (CTD)-based hyperspectral super-resolution (HSR). HSR aims at fusing a pair of hyperspectral and multispectral images to recover a s…

eess.IV2020★ 3 cited

Hyperspectral Image Super-resolution via Deep Spatio-spectral Convolutional Neural Networks

Jin-Fan Hu, Ting-Zhu Huang, Liang-Jian Deng +3

Hyperspectral images are of crucial importance in order to better understand features of different materials. To reach this goal, they leverage on a high number of spectral bands.…

math.NA2020

Fast second-order implicit difference schemes for time distributed-order and Riesz space fractional diffusion-wave equations

Huan-Yan Jian, Ting-Zhu Huang, Xian-Ming Gu +2

In this paper, fast numerical methods are established for solving a class of time distributed-order and Riesz space fractional diffusion-wave equations. We derive new difference sc…

cs.CV2020

Tensor completion via nonconvex tensor ring rank minimization with guaranteed convergence

Meng Ding, Ting-Zhu Huang, Xi-Le Zhao +1

In recent studies, the tensor ring (TR) rank has shown high effectiveness in tensor completion due to its ability of capturing the intrinsic structure within high-order tensors. A…

cs.CV2020

Tensor train rank minimization with nonlocal self-similarity for tensor completion

Meng Ding, Ting-Zhu Huang, Xi-Le Zhao +2

The tensor train (TT) rank has received increasing attention in tensor completion due to its ability to capture the global correlation of high-order tensors ().…

math.NA2019★ 31 cited

A fast implicit difference scheme for solving the generalized time-space fractional diffusion equations with variable coefficients

Xian-Ming Gu, Ting-Zhu Huang, Yong-Liang Zhao +2

In this paper, we first propose an unconditionally stable implicit difference scheme for solving generalized time-space fractional diffusion equations (GTSFDEs) with variable coeff…

eess.IV2019★ 185 cited

Framelet Representation of Tensor Nuclear Norm for Third-Order Tensor Completion

Tai-Xiang Jiang, Michael K. Ng, Xi-Le Zhao +1

The main aim of this paper is to develop a framelet representation of the tensor nuclear norm for third-order tensor completion. In the literature, the tensor nuclear norm can be c…

math.NA2019

A note on Dodgson's determinant condensation algorithm

Hou-biao Li, Hong Li, Ting-zhu Huang

Recently, the Dodgson's determinant condensation algorithm was revisited in many papers [College Math. Journal 42(1)(2011): 43--54, College Math. Journal 38(2)(2007): 85--95, Math…

cs.CV2018★ 7 cited

Tensor N-tubal rank and its convex relaxation for low-rank tensor recovery

Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao +3

As low-rank modeling has achieved great success in tensor recovery, many research efforts devote to defining the tensor rank. Among them, the recent popular tensor tubal rank, defi…

cs.CV2018★ 80 cited

Rain Streak Removal for Single Image via Kernel Guided CNN

Ye-Tao Wang, Xi-Le Zhao, Tai-Xiang Jiang +3

Rain streak removal is an important issue and has recently been investigated extensively. Existing methods, especially the newly emerged deep learning methods, could remove the rai…

math.NA2018★ 6 cited

A fast second-order accurate difference schemes for time distributed-order and Riesz space fractional diffusion equations

Huan-Yan Jian, Ting-Zhu Huang, Xi-Le Zhao +1

The aim of this paper is to develop fast second-order accurate difference schemes for solving one- and two-dimensional time distributed-order and Riesz space fractional diffusion e…

cs.CV2018★ 187 cited

FastDeRain: A Novel Video Rain Streak Removal Method Using Directional Gradient Priors

Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao +2

Rain streak removal is an important issue in outdoor vision systems and has recently been investigated extensively. In this paper, we propose a novel video rain streak removal appr…

eess.SP2018★ 87 cited

Non-local tensor completion for multitemporal remotely sensed images inpainting

Teng-Yu Ji, Naoto Yokoya, Xiao Xiang Zhu +1

Remotely sensed images may contain some missing areas because of poor weather conditions and sensor failure. Information of those areas may play an important role in the interpreta…

math.NA2017★ 134 cited

Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm

Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao +1

In this paper, we investigate tensor recovery problems within the tensor singular value decomposition (t-SVD) framework. We propose the partial sum of the tubal nuclear norm (PSTNN…

math.FA2017

On weaving g-frames for Hilbert spaces

Dongwei Li, Jinsong Leng, Tingzhu Huang +1

Weaving frames are powerful tools in wireless sensor networks and pre-processing signals. In this paper, we introduce the concept of weaving for g-frames in Hilbert spaces. We firs…

math.NA2017★ 16 cited

A fast second-order implicit difference method for time-space fractional advection-diffusion equation

Yong-Liang Zhao, Ting-Zhu Huang, Xian-Ming Gu +1

In this paper, we consider a fast and second-order implicit difference method for approximation of a class of time-space fractional variable coefficients advection-diffusion equati…

math.NA2016★ 8 cited

Efficient variants of the CMRH method for solving a sequence of multi-shifted non-Hermitian linear systems simultaneously

Xian-Ming Gu, Ting-Zhu Huang, Bruno Carpentieri +3

Multi-shifted linear systems with non-Hermitian coefficient matrices arise in numerical solutions of time-dependent partial/fractional differential equations (PDEs/FDEs), in contro…

math.NA2016★ 103 cited

Fast iterative method with a second order implicit difference scheme for time-space fractional convection-diffusion equations

Xian-Ming Gu, Ting-Zhu Huang, Cui-Cui Ji +2

In this paper we want to propose practical numerical methods to solve a class of initial-boundary problem of time-space fractional convection-diffusion equations (TSFCDEs). To star…

math.NA2016★ 1 cited

Block variants of the COCG and COCR methods for solving complex symmetric linear systems with multiple right-hand sides

Xian-Ming Gu, Bruno Carpentieri, Ting-Zhu Huang +1

In the present study, we establish two new block variants of the Conjugate Orthogonal Conjugate Gradient (COCG) and the Conjugate A-Orthogonal Conjugate Residual (COCR) Krylov subs…

math.NA2015

A hybrid recursive multilevel incomplete factorization preconditioner for solving general linear systems

Yiming Bu, Bruno Carpentieri, Zhaoli Shen +1

In this paper we introduce an algebraic recursive multilevel incomplete factorization preconditioner, based on a distributed Schur complement formulation, for solving general linea…