A generalized product-type BiCOR method and its application in signal deconvolution. - Liang Zhao; Ting-Zhu Huang; Yan-Fei Jing; Liang-Jian Deng (Comput. Math. Appl., 2013)

Heaviside image edge sharpening. - Liang-Jian Deng; Weihong Guo 002; Ting-Zhu Huang; Xi-Le Zhao (MMSP, 2015)

A fast image recovery algorithm based on splitting deblurring and denoising. - Liang-Jian Deng; Huiqing Guo; Ting-Zhu Huang (J. Comput. Appl. Math., 2015)

Single image super-resolution by approximated Heaviside functions. - Liang-Jian Deng; Weihong Guo 002; Ting-Zhu Huang (Inf. Sci., 2016)

Single-Image Super-Resolution via an Iterative Reproducing Kernel Hilbert Space Method. - Liang-Jian Deng; Weihong Guo 002; Ting-Zhu Huang (IEEE Trans. Circuits Syst. Video Technol., 2016)

A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors. - Tai-Xiang Jiang; Ting-Zhu Huang; Xi-Le Zhao; Liang-Jian Deng; Yao Wang 003 (CVPR, 2017)

Stripe noise removal of remote sensing image with a directional l0 sparse model. - Hong-Xia Dou; Ting-Zhu Huang; Liang-Jian Deng; Yong Chen 013 (ICIP, 2017)

Image fusion via dynamic gradient sparsity and anisotropic spectral-spatial total variation. - Chao-Chao Zheng; Ting-Zhu Huang; Liang-Jian Deng; Xi-Le Zhao; Hong-Xia Dou (ICIP, 2017)

A novel nonconvex approach to recover the low-tubal-rank tensor data: when t-SVD meets PSSV. - Tai-Xiang Jiang; Ting-Zhu Huang; Xi-Le Zhao; Liang-Jian Deng (CoRR, 2017)

Super-resolution via a fast deconvolution with kernel estimation. - Han Yu; Ting-Zhu Huang; Liang-Jian Deng; Xi-Le Zhao (EURASIP J. Image Video Process., 2017)

Group sparsity based regularization model for remote sensing image stripe noise removal. - Yong Chen 013; Ting-Zhu Huang; Liang-Jian Deng; Xi-Le Zhao; Min Wang 022 (Neurocomputing, 2017)

Stripe noise removal of remote sensing images by total variation regularization and group sparsity constraint. - Yong Chen 013; Ting-Zhu Huang; Xi-Le Zhao; Liang-Jian Deng; Jie Huang 005 (Remote. Sens., 2017)

Rain Streak Removal for Single Image via Kernel Guided CNN. - Ye-Tao Wang; Xi-Le Zhao; Tai-Xiang Jiang; Liang-Jian Deng; Yi Chang 002; Ting-Zhu Huang (CoRR, 2018)

Matrix factorization for low-rank tensor completion using framelet prior. - Tai-Xiang Jiang; Ting-Zhu Huang; Xi-Le Zhao; Teng-Yu Ji; Liang-Jian Deng (Inf. Sci., 2018)

Directional ℓ0 Sparse Modeling for Image Stripe Noise Removal. - Hong-Xia Dou; Ting-Zhu Huang; Liang-Jian Deng; Xi-Le Zhao; Jie Huang 005 (Remote. Sens., 2018)

Multispectral Image Denoising via Nonlocal Multitask Sparse Learning. - Yaru Fan; Ting-Zhu Huang; Xi-Le Zhao; Liang-Jian Deng; Shanxiong Fan (Remote. Sens., 2018)

A Framelet-Based Iterative Pan-Sharpening Approach. - Ziyao Zhang; Ting-Zhu Huang; Liang-Jian Deng; Jie Huang 005; Xi-Le Zhao; Chao-Chao Zheng (Remote. Sens., 2018)

A Variational Pansharpening Approach Based on Reproducible Kernel Hilbert Space and Heaviside Function. - Liang-Jian Deng; Gemine Vivone; Weihong Guo 002; Mauro Dalla Mura; Jocelyn Chanussot (IEEE Trans. Image Process., 2018)

Rain Streaks Removal for Single Image Via Directional Total Variation Regularization. - Yugang Wang; Ting-Zhu Huang; Xi-Le Zhao; Liang-Jian Deng; Tai-Xiang Jiang (ICIP, 2019)

Unidirectional Sparse Tensor Based Model for the Noise Removal of Remote Sensing Image. - Hong-Xia Dou; Ting-Zhu Huang; Liang-Jian Deng; Ziyao Zhang (IGARSS, 2019)

Pan-Sharpening Via RoG-Based Filtering. - Ziyao Zhang; Ting-Zhu Huang; Liang-Jian Deng; Jie Huang 005; Hong-Xia Dou (IGARSS, 2019)

Joint-Sparse-Blocks Regression for Total Variation Regularized Hyperspectral Unmixing. - Jie Huang 005; Ting-Zhu Huang; Xi-Le Zhao; Liang-Jian Deng (IEEE Access, 2019)

The fusion of panchromatic and multispectral remote sensing images via tensor-based sparse modeling and hyper-Laplacian prior. - Liang-Jian Deng; Minyu Feng; Xue-Cheng Tai (Inf. Fusion, 2019)

Bilateral filter based total variation regularization for sparse hyperspectral image unmixing. - Xiao Li; Jie Huang 005; Liang-Jian Deng; Ting-Zhu Huang (Inf. Sci., 2019)

A New Operator Splitting Method for the Euler Elastica Model for Image Smoothing. - Liang-Jian Deng; Roland Glowinski; Xue-Cheng Tai (SIAM J. Imaging Sci., 2019)

A total variation and group sparsity based tensor optimization model for video rain streak removal. - Ye-Tao Wang; Xi-Le Zhao; Tai-Xiang Jiang; Liang-Jian Deng; Tian-Hui Ma; Yue-Tian Zhang; Ting-Zhu Huang (Signal Process. Image Commun., 2019)

Row-Sparsity Spectral Unmixing via Total Variation. - Jin-Ju Wang; Ting-Zhu Huang; Jie Huang 005; Hong-Xia Dou; Liang-Jian Deng; Xi-Le Zhao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Joint-Sparse-Blocks and Low-Rank Representation for Hyperspectral Unmixing. - Jie Huang 005; Ting-Zhu Huang; Liang-Jian Deng; Xi-Le Zhao (IEEE Trans. Geosci. Remote. Sens., 2019)

FastDeRain: A Novel Video Rain Streak Removal Method Using Directional Gradient Priors. - Tai-Xiang Jiang; Ting-Zhu Huang; Xi-Le Zhao; Liang-Jian Deng; Yao Wang 003 (IEEE Trans. Image Process., 2019)

A convex single image dehazing model via sparse dark channel prior. - Yugang Wang; Ting-Zhu Huang; Xi-Le Zhao; Liang-Jian Deng; Teng-Yu Ji (Appl. Math. Comput., 2020)

Hyperspectral Image Super-resolution via Deep Spatio-spectral Convolutional Neural Networks. - Jin-Fan Hu; Ting-Zhu Huang; Liang-Jian Deng; Tai-Xiang Jiang; Gemine Vivone; Jocelyn Chanussot (CoRR, 2020)

Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm. - Tai-Xiang Jiang; Ting-Zhu Huang; Xi-Le Zhao; Liang-Jian Deng (J. Comput. Appl. Math., 2020)

A New Variational Approach Based on Proximal Deep Injection and Gradient Intensity Similarity for Spatio-Spectral Image Fusion. - Zhong-Cheng Wu; Ting-Zhu Huang; Liang-Jian Deng; Gemine Vivone; Jiaqing Miao; Jin-Fan Hu; Xi-Le Zhao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Hyperspectral Image Superresolution Using Unidirectional Total Variation With Tucker Decomposition. - Ting Xu; Ting-Zhu Huang; Liang-Jian Deng; Xi-Le Zhao; Jie Huang 005 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Dynamic Cross Feature Fusion for Remote Sensing Pansharpening. - Xiao Wu; Ting-Zhu Huang; Liang-Jian Deng; Tian-Jing Zhang (ICCV, 2021)

Weighted Shallow-Deep Feature Fusion Network for Pansharpening. - Zi-Rong Jin; Tian-Jing Zhang; Cheng Jin 003; Liang-Jian Deng (IGARSS, 2021)

Progressive Band-Separated Convolutional Neural Network for Multispectral Pansharpening. - Shishi Xiao; Cheng Jin 003; Tian-Jing Zhang; Ran Ran; Liang-Jian Deng (IGARSS, 2021)

A Variational Approach with Nonlocal Self-Similarity and Joint-Sparsity for Hyperspectral Image Super-Resolution. - Ting Xu; Ting-Zhu Huang; Yong Chen 013; Jie Huang 005; Liang-Jian Deng (IGARSS, 2021)

BAM: Bilateral Activation Mechanism for Image Fusion. - Zi-Rong Jin; Liang-Jian Deng; Tian-Jing Zhang; Xiao-Xu Jin (ACM Multimedia, 2021)

SSconv: Explicit Spectral-to-Spatial Convolution for Pansharpening. - Yudong Wang; Liang-Jian Deng; Tian-Jing Zhang; Xiao Wu (ACM Multimedia, 2021)

A two-step iterative algorithm for sparse hyperspectral unmixing via total variation. - Jin-Ju Wang; Ting-Zhu Huang; Jie Huang 005; Liang-Jian Deng (Appl. Math. Comput., 2021)

LAConv: Local Adaptive Convolution for Image Fusion. - Zi-Rong Jin; Liang-Jian Deng; Tai-Xiang Jiang; Tian-Jing Zhang (CoRR, 2021)

Fusformer: A Transformer-based Fusion Approach for Hyperspectral Image Super-resolution. - Jin-Fan Hu; Ting-Zhu Huang; Liang-Jian Deng (CoRR, 2021)

A Multigrid Algorithm for Maxflow and Min-Cut Problems with Applications to Multiphase Image Segmentation. - Xue-Cheng Tai; Liang-Jian Deng; Ke Yin (J. Sci. Comput., 2021)

EAA-Net: A novel edge assisted attention network for single image dehazing. - Chao Wang 008; Hao-Zhen Shen; Fan Fan; Ming-Wen Shao; Chuan-Sheng Yang; Jiancheng Luo; Liang-Jian Deng (Knowl. Based Syst., 2021)

Endmember independence constrained hyperspectral unmixing via nonnegative tensor factorization. - Jin-Ju Wang; Ding-Cheng Wang; Ting-Zhu Huang; Jie Huang 005; Xi-Le Zhao; Liang-Jian Deng (Knowl. Based Syst., 2021)

Adaptive total variation and second-order total variation-based model for low-rank tensor completion. - Xin Li; Ting-Zhu Huang; Xi-Le Zhao; Teng-Yu Ji; Yu-Bang Zheng; Liang-Jian Deng (Numer. Algorithms, 2021)

A Proximal Algorithm with Convergence Guarantee for a Nonconvex Minimization Problem Based on Reproducing Kernel Hilbert Space. - Hong-Xia Dou; Liang-Jian Deng (Symmetry, 2021)

Detail Injection-Based Deep Convolutional Neural Networks for Pansharpening. - Liang-Jian Deng; Gemine Vivone; Cheng Jin 003; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2021)

Nonlocal Tensor-Based Sparse Hyperspectral Unmixing. - Jie Huang 005; Ting-Zhu Huang; Xi-Le Zhao; Liang-Jian Deng (IEEE Trans. Geosci. Remote. Sens., 2021)

Rain Streaks Removal for Single Image via Kernel-Guided Convolutional Neural Network. - Ye-Tao Wang; Xi-Le Zhao; Tai-Xiang Jiang; Liang-Jian Deng; Yi Chang 002; Ting-Zhu Huang (IEEE Trans. Neural Networks Learn. Syst., 2021)

LAGConv: Local-Context Adaptive Convolution Kernels with Global Harmonic Bias for Pansharpening. - Zi-Rong Jin; Tian-Jing Zhang; Tai-Xiang Jiang; Gemine Vivone; Liang-Jian Deng (AAAI, 2022)

Construction Method of Overlay Network for Cyber-Physical System. - Liang-Jian Deng; Yubing Chen; Lichen Zhang (APNOMS, 2022)

Context-Aware Element Filter for Hyperspectral Image Super-Resolution. - Ran Ran; Liang-Jian Deng; Chen-Yu Zhao (IGARSS, 2022)

Cross-Frequency Detail Compensation Network for Pansharpening. - Xiao-Nan Zhao; Chen-Yu Zhao; Tian-Jing Zhang; Liang-Jian Deng (IGARSS, 2022)

SpanConv: A New Convolution via Spanning Kernel Space for Lightweight Pansharpening. - Zhi-Xuan Chen; Cheng Jin 003; Tian-Jing Zhang; Xiao Wu; Liang-Jian Deng (IJCAI, 2022)

Source-Adaptive Discriminative Kernels based Network for Remote Sensing Pansharpening. - Siran Peng; Liang-Jian Deng; Jin-Fan Hu; Yu-Wei Zhuo (IJCAI, 2022)

A Decoder-free Transformer-like Architecture for High-efficiency Single Image Deraining. - Xiao Wu; Ting-Zhu Huang; Liang-Jian Deng; Tian-Jing Zhang (IJCAI, 2022)

Tensor Wheel Decomposition and Its Tensor Completion Application. - Zhong-Cheng Wu; Ting-Zhu Huang; Liang-Jian Deng; Hong-Xia Dou; Deyu Meng (NeurIPS, 2022)

SIT: A Bionic and Non-Linear Neuron for Spiking Neural Network. - Cheng Jin 003; Rui-Jie Zhu 003; Xiao Wu; Liang-Jian Deng (CoRR, 2022)

TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks. - Rui-Jie Zhu 003; Qihang Zhao; Tianjing Zhang; Haoyu Deng; Yule Duan; Malu Zhang; Liang-Jian Deng (CoRR, 2022)

Laplacian pyramid networks: A new approach for multispectral pansharpening. - Cheng Jin 003; Liang-Jian Deng; Ting-Zhu Huang; Gemine Vivone (Inf. Fusion, 2022)

Exemplar-based image inpainting using adaptive two-stage structure-tensor based priority function and nonlocal filtering. - Ting Xu; Ting-Zhu Huang; Liang-Jian Deng; Xi-Le Zhao; Jin-Fan Hu (J. Vis. Commun. Image Represent., 2022)

Fusformer: A Transformer-Based Fusion Network for Hyperspectral Image Super-Resolution. - Jin-Fan Hu; Ting-Zhu Huang; Liang-Jian Deng; Hong-Xia Dou; Danfeng Hong; Gemine Vivone (IEEE Geosci. Remote. Sens. Lett., 2022)

Spatial and Spectral-Channel Attention Network for Denoising on Hyperspectral Remote Sensing Image. - Hong-Xia Dou; Xiao-Miao Pan; Chao Wang; Hao-Zhen Shen; Liang-Jian Deng (Remote. Sens., 2022)

Remote Sensing Pansharpening by Full-Depth Feature Fusion. - Zi-Rong Jin; Yu-Wei Zhuo; Tian-Jing Zhang; Xiao-Xu Jin; Shuaiqi Jing; Liang-Jian Deng (Remote. Sens., 2022)

An iterative approach for image fusion with dynamic gradient sparsity and anisotropic spectral-spatial total variation. - Tian-Jing Zhang; Liang-Jian Deng; Zhong-Cheng Wu; Chao-Chao Zheng (Signal Image Video Process., 2022)

A Deep-Shallow Fusion Network With Multidetail Extractor and Spectral Attention for Hyperspectral Pansharpening. - Yu-Wei Zhuo; Tian-Jing Zhang; Jin-Fan Hu; Hong-Xia Dou; Ting-Zhu Huang; Liang-Jian Deng (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

VO+Net: An Adaptive Approach Using Variational Optimization and Deep Learning for Panchromatic Sharpening. - Zhong-Cheng Wu; Ting-Zhu Huang; Liang-Jian Deng; Jin-Fan Hu; Gemine Vivone (IEEE Trans. Geosci. Remote. Sens., 2022)

A New Context-Aware Details Injection Fidelity With Adaptive Coefficients Estimation for Variational Pansharpening. - Jin-Liang Xiao; Ting-Zhu Huang; Liang-Jian Deng; Zhong-Cheng Wu; Gemine Vivone (IEEE Trans. Geosci. Remote. Sens., 2022)

An Iterative Regularization Method Based on Tensor Subspace Representation for Hyperspectral Image Super-Resolution. - Ting Xu; Ting-Zhu Huang; Liang-Jian Deng; Naoto Yokoya (IEEE Trans. Geosci. Remote. Sens., 2022)

Hyperspectral Image Super-Resolution via Deep Spatiospectral Attention Convolutional Neural Networks. - Jin-Fan Hu; Ting-Zhu Huang; Liang-Jian Deng; Tai-Xiang Jiang; Gemine Vivone; Jocelyn Chanussot (IEEE Trans. Neural Networks Learn. Syst., 2022)

PatchMask: A Data Augmentation Strategy with Gaussian Noise in Hyperspectral Images. - Hong-Xia Dou; Xing-Shun Lu; Chao Wang 008; Hao-Zhen Shen; Yu-Wei Zhuo; Liang-Jian Deng (Remote. Sens., 2022)

Modality-Fusion Spiking Transformer Network for Audio-Visual Zero-Shot Learning. - Wenrui Li 001; Zhengyu Ma; Liang-Jian Deng; Hengyu Man; Xiaopeng Fan (ICME, 2023)

Bidirectional Dilation Transformer for Multispectral and Hyperspectral Image Fusion. - Shangqi Deng; Liang-Jian Deng; Xiao Wu; Ran Ran; Rui Wen (IJCAI, 2023)

LGPConv: Learnable Gaussian Perturbation Convolution for Lightweight Pansharpening. - Chen-Yu Zhao; Tian-Jing Zhang; Ran Ran; Zhi-Xuan Chen; Liang-Jian Deng (IJCAI, 2023)

Bidomain Modeling Paradigm for Pansharpening. - Junming Hou; Qi Cao; Ran Ran; Che Liu; Junling Li; Liang-Jian Deng (ACM Multimedia, 2023)

Reservoir Computing Transformer for Image-Text Retrieval. - Wenrui Li 001; Zhengyu Ma; Liang-Jian Deng; Penghong Wang; Jinqiao Shi; Xiaopeng Fan (ACM Multimedia, 2023)

U2Net: A General Framework with Spatial-Spectral-Integrated Double U-Net for Image Fusion. - Siran Peng; Chenhao Guo; Xiao Wu; Liang-Jian Deng (ACM Multimedia, 2023)

TR-STF: a fast and accurate tensor ring decomposition algorithm via defined scaled tri-factorization. - Ting Xu; Ting-Zhu Huang; Liang-Jian Deng; Hong-Xia Dou; Naoto Yokoya (Comput. Appl. Math., 2023)

DDRF: Denoising Diffusion Model for Remote Sensing Image Fusion. - Zihan Cao; Shiqi Cao; Xiao Wu; Junming Hou; Ran Ran; Liang-Jian Deng (CoRR, 2023)

Implicit Neural Feature Fusion Function for Multispectral and Hyperspectral Image Fusion. - Shang-Qi Deng; RuoCheng Wu; Liang-Jian Deng; Ran Ran; Tai-Xiang Jiang (CoRR, 2023)

A Theoretically Guaranteed Quaternion Weighted Schatten p-norm Minimization Method for Color Image Restoration. - Qing-Hua Zhang; Liangtian He; Yilun Wang; Liang-Jian Deng; Jun Liu 012 (CoRR, 2023)

APLA: Additional Perturbation for Latent Noise with Adversarial Training Enables Consistency. - Yupu Yao; Shangqi Deng; Zihan Cao; Harry Zhang; Liang-Jian Deng (CoRR, 2023)

Dynamical Fusion Model With Joint Variational and Deep Priors for Hyperspectral Image Super-Resolution. - Hong-Xia Dou; Zhong-Cheng Wu; Yu-Wei Zhuo; Liang-Jian Deng; Gemine Vivone (IEEE Geosci. Remote. Sens. Lett., 2023)

GuidedNet: A General CNN Fusion Framework via High-Resolution Guidance for Hyperspectral Image Super-Resolution. - Ran Ran; Liang-Jian Deng; Tai-Xiang Jiang; Jin-Fan Hu; Jocelyn Chanussot; Gemine Vivone (IEEE Trans. Cybern., 2023)

PSRT: Pyramid Shuffle-and-Reshuffle Transformer for Multispectral and Hyperspectral Image Fusion. - Shang-Qi Deng; Liang-Jian Deng; Xiao Wu; Ran Ran; Danfeng Hong; Gemine Vivone (IEEE Trans. Geosci. Remote. Sens., 2023)

Cascadic Multireceptive Learning for Multispectral Pansharpening. - Jun-Da Wang; Liang-Jian Deng; Chen-Yu Zhao; Xiao Wu; Hongming Chen 003; Gemine Vivone (IEEE Trans. Geosci. Remote. Sens., 2023)

A Novel Spatial Fidelity With Learnable Nonlinear Mapping for Panchromatic Sharpening. - Rui Wen; Liang-Jian Deng; Zhong-Cheng Wu; Xiao Wu; Gemine Vivone (IEEE Trans. Geosci. Remote. Sens., 2023)

Variational Pansharpening Based on Coefficient Estimation With Nonlocal Regression. - Jin-Liang Xiao; Ting-Zhu Huang; Liang-Jian Deng; Zhong-Cheng Wu; Xiao Wu; Gemine Vivone (IEEE Trans. Geosci. Remote. Sens., 2023)

QIS-GAN: A Lightweight Adversarial Network With Quadtree Implicit Sampling for Multispectral and Hyperspectral Image Fusion. - Chunyu Zhu; Shangqi Deng; Yingjie Zhou 001; Liang-Jian Deng; Qiong Wu (IEEE Trans. Geosci. Remote. Sens., 2023)

LRTCFPan: Low-Rank Tensor Completion Based Framework for Pansharpening. - Zhong-Cheng Wu; Ting-Zhu Huang; Liang-Jian Deng; Jie Huang 005; Jocelyn Chanussot; Gemine Vivone (IEEE Trans. Image Process., 2023)

Neuron-Based Spiking Transmission and Reasoning Network for Robust Image-Text Retrieval. - Wenrui Li 001; Zhengyu Ma; Liang-Jian Deng; Xiaopeng Fan; Yonghong Tian 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

FDDN: frequency-guided network for single image dehazing. - Haozhen Shen; Chao Wang 102; Liang-Jian Deng; Liangtian He; Xiaoping Lu; Mingwen Shao; Deyu Meng (Neural Comput. Appl., 2023)

A Triple-Double Convolutional Neural Network for Panchromatic Sharpening. - Tian-Jing Zhang; Liang-Jian Deng; Ting-Zhu Huang; Jocelyn Chanussot; Gemine Vivone (IEEE Trans. Neural Networks Learn. Syst., 2023)

Signal and Information Processing in Networks. - Minyu Feng; Liang-Jian Deng; Feng Chen 023 (Entropy, 2023)

Gated Attention Coding for Training High-Performance and Efficient Spiking Neural Networks. - Xuerui Qiu; Rui-Jie Zhu 003; Yuhong Chou; Zhaorui Wang 005; Liang-Jian Deng; Guoqi Li (AAAI, 2024)

Content-Adaptive Non-Local Convolution for Remote Sensing Pansharpening. - Yule Duan; Xiao Wu; Haoyu Deng; Liang-Jian Deng (CVPR, 2024)

Exploring the Low-Pass Filtering Behavior in Image Super-Resolution. - Haoyu Deng; Zijing Xu; Yule Duan; Xiao Wu; Wenjie Shu; Liang-Jian Deng (ICML, 2024)

A Novel Fidelity Based on the Adaptive Domain for Pansharpening. - Jin-Liang Xiao; Ting-Zhu Huang; Liang-Jian Deng; Ting Xu (IGARSS, 2024)

A Novel State Space Model with Local Enhancement and State Sharing for Image Fusion. - Zihan Cao; Xiao Wu; Liang-Jian Deng; Yu Zhong (ACM Multimedia, 2024)

Illumination Distribution Prior for Low-light Image Enhancement. - Chao Wang 091; Yang Zhou; Liangtian He; Fenglai Lin; Hongming Chen 003; Liang-Jian Deng (ACM Multimedia, 2024)

Fourier-enhanced Implicit Neural Fusion Network for Multispectral and Hyperspectral Image Fusion. - Yu-Jie Liang; Zihan Cao; Shangqi Deng; Hong-Xia Dou; Liang-Jian Deng (NeurIPS, 2024)

SSDiff: Spatial-spectral Integrated Diffusion Model for Remote Sensing Pansharpening. - Yu Zhong; Xiao Wu; Liang-Jian Deng; Zihan Cao; Hong-Xia Dou (NeurIPS, 2024)

FusionMamba: Efficient Image Fusion with State Space Model. - Siran Peng; Xiangyu Zhu 001; Haoyu Deng; Zhen Lei 001; Liang-Jian Deng (CoRR, 2024)

Neural Shr "odinger Bridge Matching for Pansharpening. - Zihan Cao; Xiao Wu; Liang-Jian Deng (CoRR, 2024)

SSDiff: Spatial-spectral Integrated Diffusion Model for Remote Sensing Pansharpening. - Yu Zhong; Xiao Wu; Liang-Jian Deng; Zihan Cao (CoRR, 2024)

Fourier-enhanced Implicit Neural Fusion Network for Multispectral and Hyperspectral Image Fusion. - Yu-Jie Liang; Zihan Cao; Liang-Jian Deng; Xiao Wu (CoRR, 2024)

A memory-based spatial evolutionary game with the dynamic interaction between learners and profiteers. - Bin Pi; Minyu Feng; Liang-Jian Deng (CoRR, 2024)

A general image fusion framework using multi-task semi-supervised learning. - Wu Wang; Liang-Jian Deng; Gemine Vivone (Inf. Fusion, 2024)

Pansharpening via semi-framelet-guided sparse reconstruction. - Zhong-Cheng Wu; Gemine Vivone; Ting-Zhu Huang; Liang-Jian Deng (Inf. Fusion, 2024)

Tensor decomposition based attention module for spiking neural networks. - Haoyu Deng; Rui-Jie Zhu 003; Xuerui Qiu; Yule Duan; Malu Zhang; Liang-Jian Deng (Knowl. Based Syst., 2024)

Remote Sensing Image Destriping by an ℓ₀-Based Nonconvex Model With Overlapping Group Sparse Hyper-Laplacian Prior. - Hong-Xia Dou; Miao-Miao Zhang; Rui Wen; Yong Chen 013; Jun Liu 012; Liang-Jian Deng (IEEE Geosci. Remote. Sens. Lett., 2024)

SSCAConv: Self-Guided Spatial-Channel Adaptive Convolution for Image Fusion. - Xiaoya Lu; Yu-Wei Zhuo; Hongming Chen 003; Liang-Jian Deng; Junming Hou (IEEE Geosci. Remote. Sens. Lett., 2024)

CMT: Cross Modulation Transformer With Hybrid Loss for Pansharpening. - Wenjie Shu; Hong-Xia Dou; Rui Wen; Xiao Wu; Liang-Jian Deng (IEEE Geosci. Remote. Sens. Lett., 2024)

Quaternion weighted Schatten p-norm minimization for color image restoration with convergence guarantee. - Qinghua Zhang; Liangtian He; Yilun Wang; Liang-Jian Deng; Jun Liu 012 (Signal Process., 2024)

INF3: Implicit Neural Feature Fusion Function for Multispectral and Hyperspectral Image Fusion. - RuoCheng Wu; Shangqi Deng; Ran Ran; Hong-Xia Dou; Liang-Jian Deng (IEEE Trans. Computational Imaging, 2024)

Rethinking Pan-Sharpening via Spectral-Band Modulation. - Xinyang Liu; Junming Hou; Xiaofeng Cong; Hao Shen 006; Zhuochen Lou; Liang-Jian Deng; Jian Wei You (IEEE Trans. Geosci. Remote. Sens., 2024)

FusionMamba: Efficient Remote Sensing Image Fusion With State Space Model. - Siran Peng; Xiangyu Zhu 001; Haoyu Deng; Liang-Jian Deng; Zhen Lei 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

CroDoSR: Tensor Cross-Domain Rank for Hyperspectral Image Super-Resolution. - Zhong-Cheng Wu; Ya-Jun Li; Ting-Zhu Huang; Liang-Jian Deng; Gemine Vivone (IEEE Trans. Geosci. Remote. Sens., 2024)

A Coupled Tensor Double-Factor Method for Hyperspectral and Multispectral Image Fusion. - Ting Xu; Ting-Zhu Huang; Liang-Jian Deng; Jin-Liang Xiao; Clifford Broni-Bediako; Junshi Xia; Naoto Yokoya (IEEE Trans. Geosci. Remote. Sens., 2024)

KNLConv: Kernel-Space Non-Local Convolution for Hyperspectral Image Super-Resolution. - Ran Ran; Liang-Jian Deng; Tian-Jing Zhang; Jianlong Chang; Xiao Wu; Qi Tian 001 (IEEE Trans. Multim., 2024)

Zero-shot semi-supervised learning for pansharpening. - Qi Cao; Liang-Jian Deng; Wu Wang; Junming Hou; Gemine Vivone (Inf. Fusion, 2024)

Denoiser-guided image deconvolution with arbitrary boundaries and incomplete observations. - Liangtian He; Shaobing Gao; Liang-Jian Deng; Yilun Wang; Chao Wang 091 (Signal Process., 2024)

An Evolutionary Game With the Game Transitions Based on the Markov Process. - Minyu Feng; Bin Pi; Liang-Jian Deng; Jürgen Kurths (IEEE Trans. Syst. Man Cybern. Syst., 2024)

HFAN: High-Frequency Attention Network for hyperspectral image denoising. - Chuan-Sheng Yang; Chao Zhang; Haozhen Shen; Tong Peng; Chao Wang 091; Liang-Jian Deng; Hongming Chen 003; Liangtian He (Int. J. Mach. Learn. Cybern., 2024)

A General Paradigm with Detail-Preserving Conditional Invertible Network for Image Fusion. - Wu Wang; Liang-Jian Deng; Ran Ran; Gemine Vivone (Int. J. Comput. Vis., 2024)

Diffusion model with disentangled modulations for sharpening multispectral and hyperspectral images. - Zihan Cao; Shiqi Cao; Liang-Jian Deng; Xiao Wu; Junming Hou; Gemine Vivone (Inf. Fusion, 2024)

Mixing Support Detection-Based Alternating Direction Method of Multipliers for Sparse Hyperspectral Image Unmixing. - Jie Huang 005; Shuang Liang; Liang-Jian Deng (J. Math. Imaging Vis., 2024)

OTIAS: OcTree Implicit Adaptive Sampling for Multispectral and Hyperspectral Image Fusion. - Shangqi Deng; Jun Ma; Liang-Jian Deng; Ping Wei (AAAI, 2025)

Wavelet-Assisted Multi-Frequency Attention Network for Pansharpening. - Jie Huang 005; Rui Huang; Jinghao Xu; Siran Peng; Yule Duan; Liang-Jian Deng (AAAI, 2025)

PanAdapter: Two-Stage Fine-Tuning with Spatial-Spectral Priors Injecting for Pansharpening. - RuoCheng Wu; Zien Zhang; Shangqi Deng; Yule Duan; Liang-Jian Deng (AAAI, 2025)

Binarized Neural Network for Multi-spectral Image Fusion. - Junming Hou; Xiaoyu Chen; Ran Ran; Xiaofeng Cong; Xinyang Liu; Jian Wei You; Liang-Jian Deng (CVPR, 2025)

Adaptive Rectangular Convolution for Remote Sensing Pansharpening. - Xueyang Wang; Zhixin Zheng; Jiandong Shao; Yule Duan; Liang-Jian Deng (CVPR, 2025)

Hyperspectral Pansharpening via Diffusion Models with Iteratively Zero-Shot Guidance. - Jin-Liang Xiao; Ting-Zhu Huang; Liang-Jian Deng; Guang Lin 002; Zihan Cao; Chao Li 013; Qibin Zhao (CVPR, 2025)

Bidomain uncertainty gated recursive network for pan-sharpening. - Junming Hou; Xinyang Liu; Chenxu Wu; Xiaofeng Cong; Chentong Huang; Liang-Jian Deng; Jian Wei You (Inf. Fusion, 2025)

Loss-driven dynamic weight and residual transformation in physics-informed neural network. - Yabin Zhang; Liang-Jian Deng (Neural Networks, 2025)

A fast Lanczos-based hierarchical algorithm for tensor ring decomposition. - Cheng-Wei Sun; Ting-Zhu Huang; Hong-Xia Dou; Ting Xu; Liang-Jian Deng (Signal Process., 2025)

Quaternion-based deep image prior with regularization by denoising for color image restoration. - Qinghua Zhang; Liangtian He; Shaobing Gao; Liang-Jian Deng; Jun Liu 012 (Signal Process., 2025)

MDFormer: Multi-Scale Downsampling-Based Transformer for Low-Light Image Enhancement. - Yang Zhou; Liangtian He; Liang-Jian Deng; Hongming Chen 003; Chao Wang 091 (IEEE Signal Process. Lett., 2025)

Pansharpening Variational Model Based on Internal Adaptive Spatial Fidelity and External Deep-Driven Injection. - Hong-Xia Dou; Jia-Lu Xu; Jin-Liang Xiao; Liang-Jian Deng (IEEE Trans. Geosci. Remote. Sens., 2025)

ResPanDiff: Diffusion Model for Pansharpening by Inferring Residual Inference. - Shiqi Cao; Liang-Jian Deng; Shangqi Deng (CoRR, 2025)

MMAIF: Multi-task and Multi-degradation All-in-One for Image Fusion with Language Guidance. - Zihan Cao; Yu Zhong; Ziqi Wang; Liang-Jian Deng (CoRR, 2025)

Taming Flow Matching with Unbalanced Optimal Transport into Fast Pansharpening. - Zihan Cao; Yu Zhong; Liang-Jian Deng (CoRR, 2025)

Fully-Connected Transformer for Multi-Source Image Fusion. - Xiao Wu; Zihan Cao; Ting-Zhu Huang; Liang-Jian Deng; Jocelyn Chanussot; Gemine Vivone (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks. - Rui-Jie Zhu 003; Malu Zhang; Qihang Zhao; Haoyu Deng; Yule Duan; Liang-Jian Deng (IEEE Trans. Neural Networks Learn. Syst., 2025)

CAT: A Conditional Adaptation Tailor for Efficient and Effective Instance-Specific Pansharpening on Real-World Data. - Tianyu Xin; Jin-Liang Xiao; Zeyu Xia; Shan Yin; Liang-Jian Deng (CoRR, 2025)

Dynamic Evolution of Complex Networks: A Reinforcement Learning Approach Applying Evolutionary Games to Community Structure. - Bin Pi; Liang-Jian Deng; Minyu Feng; Matjaz Perc; Jürgen Kurths (CoRR, 2025)

A semi-supervised framework with generative adversarial network for pansharpening. - Yu-Xuan Wang; Ting-Zhu Huang; Ran Ran; Rui Wen; Liang-Jian Deng (Signal Image Video Process., 2025)

SWIFT: A General Sensitive Weight Identification Framework for Fast Sensor-Transfer Pansharpening. - Zeyu Xia; Chenxi Sun; Tianyu Xin; Yubo Zeng; Haoyu Chen; Liang-Jian Deng (CoRR, 2025)

A Robust Tensor Wheel Decomposition-Based Regularization Method for Tensor Completion Problem. - Xiao Wu; Ting-Zhu Huang; Zhong-Cheng Wu; Liang-Jian Deng (J. Sci. Comput., 2025)

Training and Inference within 1 Second - Tackle Cross-Sensor Degradation of Real-World Pansharpening with Efficient Residual Feature Tailoring. - Tianyu Xin; Jin-Liang Xiao; Zeyu Xia; Shan Yin; Liang-Jian Deng (CoRR, 2025)

Spiking Variational Graph Representation Inference for Video Summarization. - Wenrui Li 001; Wei Han; Liang-Jian Deng; Ruiqin Xiong; Xiaopeng Fan (CoRR, 2025)

Constrained low-rank approximation of quaternion matrices and beyond. - Zhijie Wang; Liangtian He; Jifei Miao; Liang-Jian Deng; Jun Liu 012 (Appl. Math. Lett., 2026)