A New Fast Algorithm for Training Large Window Stack Filters. - Guangming Shi; Weisheng Dong; Li Zhang 004; Jin Pan (ICNC (2), 2006)

Immune memory clonal selection algorithms for designing stack filters. - Weisheng Dong; Guangming Shi; Li Zhang 004 (Neurocomputing, 2007)

Signal-adapted directional lifting scheme for image compression. - Weisheng Dong; Guangming Shi; Jizheng Xu (ISCAS, 2008)

Adaptive Nonseparable Interpolation for Image Compression With Directional Wavelet Transform. - Weisheng Dong; Guangming Shi; Jizheng Xu (IEEE Signal Process. Lett., 2008)

Context-based bias removal of statistical models of wavelet coefficients for image denoising. - Weisheng Dong; Xiaolin Wu 001; Guangming Shi; Lei Zhang 006 (ICIP, 2009)

Nonlocal back-projection for adaptive image enlargement. - Weisheng Dong; Lei Zhang 006; Guangming Shi; Xiaolin Wu 001 (ICIP, 2009)

Learning-based recovery of compressive sensing with application in multiple description coding. - Fangfang Wu; Guangming Shi; Weisheng Dong; Xiaolin Wu 001 (MMSP, 2009)

Live demonstration: Spatial-temporal color video reproduction from noisy CFA sequence track: Digital signal processing. - Lei Zhang 006; Weisheng Dong; Chiu-Wai Hui; Xiaolin Wu 001; Guangming Shi (ISCAS, 2010)

Super-resolution with nonlocal regularized sparse representation. - Weisheng Dong; Guangming Shi; Lei Zhang 006; Xiaolin Wu 001 (VCIP, 2010)

Context-based adaptive image resolution upconversion. - Guangming Shi; Weisheng Dong; Xiaolin Wu 001; Lei Zhang 006 (J. Electronic Imaging, 2010)

Two-stage image denoising by principal component analysis with local pixel grouping. - Lei Zhang 006; Weisheng Dong; David Zhang 001; Guangming Shi (Pattern Recognit., 2010)

Spatial-Temporal Color Video Reconstruction From Noisy CFA Sequence. - Lei Zhang 006; Weisheng Dong; Xiaolin Wu 001; Guangming Shi (IEEE Trans. Circuits Syst. Video Technol., 2010)

Sparsity-based image denoising via dictionary learning and structural clustering. - Weisheng Dong; Xin Li 005; Lei Zhang 006; Guangming Shi (CVPR, 2011)

Centralized sparse representation for image restoration. - Weisheng Dong; Lei Zhang 006; Guangming Shi (ICCV, 2011)

Sparsity-based image deblurring with locally adaptive and nonlocally robust regularization. - Weisheng Dong; Xin Li 005; Lei Zhang 006; Guangming Shi (ICIP, 2011)

Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization. - Weisheng Dong; Lei Zhang 006; Guangming Shi; Xiaolin Wu 001 (IEEE Trans. Image Process., 2011)

Image deblurring with low-rank approximation structured sparse representation. - Weisheng Dong; Guangming Shi; Xin Li 005 (APSIPA, 2012)

Image reconstruction with locally adaptive sparsity and nonlocal robust regularization. - Weisheng Dong; Guangming Shi; Xin Li 005; Lei Zhang 006; Xiaolin Wu 001 (Signal Process. Image Commun., 2012)

Model-Assisted Adaptive Recovery of Compressed Sensing with Imaging Applications. - Xiaolin Wu 001; Weisheng Dong; Xiangjun Zhang; Guangming Shi (IEEE Trans. Image Process., 2012)

SAR Image Quality Assessment Based on SSIM Using Textural Feature. - Shuhong Jiao; Weisheng Dong (ICIG, 2013)

A learning-based method for compressive image recovery. - Weisheng Dong; Guangming Shi; Xiaolin Wu 001; Lei Zhang 006 (J. Vis. Commun. Image Represent., 2013)

Nonlocal Image Restoration With Bilateral Variance Estimation: A Low-Rank Approach. - Weisheng Dong; Guangming Shi; Xin Li 005 (IEEE Trans. Image Process., 2013)

Sparse Representation Based Image Interpolation With Nonlocal Autoregressive Modeling. - Weisheng Dong; Lei Zhang 006; Rastislav Lukac; Guangming Shi (IEEE Trans. Image Process., 2013)

Nonlocally Centralized Sparse Representation for Image Restoration. - Weisheng Dong; Lei Zhang 006; Guangming Shi; Xin Li 005 (IEEE Trans. Image Process., 2013)

Image restoration via Bayesian structured sparse coding. - Weisheng Dong; Xin Li 005; Yi Ma 001; Guangming Shi (ICIP, 2014)

Nonlocal Sparse and Low-Rank Regularization for Optical Flow Estimation. - Weisheng Dong; Guangming Shi; Xiaocheng Hu; Yi Ma 001 (IEEE Trans. Image Process., 2014)

Compressive Sensing via Nonlocal Low-Rank Regularization. - Weisheng Dong; Guangming Shi; Xin Li 005; Yi Ma 001; Feng Huang (IEEE Trans. Image Process., 2014)

Sparsity Fine Tuning in Wavelet Domain With Application to Compressive Image Reconstruction. - Weisheng Dong; Xiaolin Wu 001; Guangming Shi (IEEE Trans. Image Process., 2014)

Compressive sensing recovery of dynamic MRI via nonlocal low-rank regularization. - Dandan Zhao; Weisheng Dong; Guangming Shi; Feng Huang (ChinaSIP, 2015)

Low-Rank Tensor Approximation with Laplacian Scale Mixture Modeling for Multiframe Image Denoising. - Weisheng Dong; Guangyu Li; Guangming Shi; Xin Li 005; Yi Ma 001 (ICCV, 2015)

Learning Parametric Distributions for Image Super-Resolution: Where Patch Matching Meets Sparse Coding. - Yongbo Li; Weisheng Dong; Guangming Shi; Xuemei Xie (ICCV, 2015)

Image Restoration via Simultaneous Sparse Coding: Where Structured Sparsity Meets Gaussian Scale Mixture. - Weisheng Dong; Guangming Shi; Yi Ma 001; Xin Li 005 (Int. J. Comput. Vis., 2015)

Compressive SAR Imaging with Joint Sparsity and Local Similarity Exploitation. - Fangfang Shen; Guanghui Zhao; Guangming Shi; Weisheng Dong; Chenglong Wang; Yi Niu (Sensors, 2015)

Visual Orientation Selectivity Based Structure Description. - Jinjian Wu; Weisi Lin; Guangming Shi; Yazhong Zhang; Weisheng Dong; Zhibo Chen 001 (IEEE Trans. Image Process., 2015)

Learning Parametric Sparse Models for Image Super-Resolution. - Yongbo Li; Weisheng Dong; Xuemei Xie; Guangming Shi; Xin Li 005; Donglai Xu (NIPS, 2016)

3D magnetic resonance image denoising using low-rank tensor approximation. - Ying Fu; Weisheng Dong (Neurocomputing, 2016)

Hyperspectral Image Super-Resolution via Non-Negative Structured Sparse Representation. - Weisheng Dong; Fazuo Fu; Guangming Shi; Xun Cao; Jinjian Wu; Guangyu Li; Xin Li 005 (IEEE Trans. Image Process., 2016)

Sparsity Based Nonlocal Image Restoration: An Alternating Optimization Approach. - Xin Li 005; Weisheng Dong; Guangming Shi (Handbook of Convex Optimization Methods in Imaging Science, 2017)

GUN: Gradual Upsampling Network for single image super-resolution. - Yang Zhao 002; Ronggang Wang; Weisheng Dong; Wei Jia 001; Jianchao Yang; Xiaoping Liu 003; Wen Gao 001 (CoRR, 2017)

Bag-of-words feature representation for blind image quality assessment with local quantized pattern. - Xuemei Xie; Yazhong Zhang; Jinjian Wu; Guangming Shi; Weisheng Dong (Neurocomputing, 2017)

Mixed Noise Removal via Laplacian Scale Mixture Modeling and Nonlocal Low-Rank Approximation. - Tao Huang; Weisheng Dong; Xuemei Xie; Guangming Shi; Xiang Bai (IEEE Trans. Image Process., 2017)

Enhanced Just Noticeable Difference Model for Images With Pattern Complexity. - Jinjian Wu; Leida Li; Weisheng Dong; Guangming Shi; Weisi Lin; C.-C. Jay Kuo (IEEE Trans. Image Process., 2017)

Color-Guided Depth Recovery via Joint Local Structural and Nonlocal Low-Rank Regularization. - Weisheng Dong; Guangming Shi; Xin Li 005; Kefan Peng; Jinjian Wu; Zhenhua Guo 001 (IEEE Trans. Multim., 2017)

Super-Resolution Quality Assessment: Subjective Evaluation Database and Quality Index Based on Perceptual Structure Measurement. - Wenfei Wan; Jinjian Wu; Guangming Shi; Yongbo Li; Weisheng Dong (ICME, 2018)

Lightweight Deep Residue Learning for Joint Color Image Demosaicking and Denoising. - Tao Huang; Fangfang Wu; Weisheng Dong; Guangming Shi; Xin Li 005 (ICPR, 2018)

Perceptual Image Dehazing Based on Generative Adversarial Learning. - Fangfang Wu; Yifan Li; Jianwen Han; Weisheng Dong; Guangming Shi (PCM (1), 2018)

Learning Parametric Sparse Models for Heavy Noisy Removal From Images. - Xuemei Xie; Yongbo Li; Weisheng Dong; Guangming Shi; Xin Li 005; Zhonglong Zheng (IEEE Access, 2018)

ConvCSNet: A Convolutional Compressive Sensing Framework Based on Deep Learning. - Xiaotong Lu; Weisheng Dong; Peiyao Wang; Guangming Shi; Xuemei Xie (CoRR, 2018)

Joint Demosaicing and Denoising with Perceptual Optimization on a Generative Adversarial Network. - Weisheng Dong; Ming Yuan; Xin Li 005; Guangming Shi (CoRR, 2018)

Learning Hybrid Sparsity Prior for Image Restoration: Where Deep Learning Meets Sparse Coding. - Weisheng Dong; Zhangxi Yan; Xin Li 005; Guangming Shi (CoRR, 2018)

Exploiting class-wise coding coefficients: Learning a discriminative dictionary for pattern classification. - Jianqiang Song; Xuemei Xie; Guangming Shi; Weisheng Dong (Neurocomputing, 2018)

Robust Tensor Approximation With Laplacian Scale Mixture Modeling for Multiframe Image and Video Denoising. - Weisheng Dong; Tao Huang; Guangming Shi; Yi Ma 001; Xin Li 005 (IEEE J. Sel. Top. Signal Process., 2018)

Image Super-Resolution With Parametric Sparse Model Learning. - Yongbo Li; Weisheng Dong; Xuemei Xie; Guangming Shi; Jinjian Wu; Xin Li 005 (IEEE Trans. Image Process., 2018)

Robust Foreground Estimation via Structured Gaussian Scale Mixture Modeling. - Guangming Shi; Tao Huang; Weisheng Dong; Jinjian Wu; Xuemei Xie (IEEE Trans. Image Process., 2018)

Blind Quality Index for Multiply Distorted Images Using Biorder Structure Degradation and Nonlocal Statistics. - Yu Zhou 009; Leida Li; Jinjian Wu; Ke Gu 001; Weisheng Dong; Guangming Shi (IEEE Trans. Multim., 2018)

End-to-End Blind Image Quality Assessment with Cascaded Deep Features. - Jinjian Wu; Jupo Ma; Fuhu Liang; Weisheng Dong; Guangming Shi (ICME, 2019)

Learning a Deep Vector Quantization Network for Image Compression. - Xiaotong Lu; Heng Wang; Weisheng Dong; Fangfang Wu; Zhonglong Zheng; Guangming Shi (IEEE Access, 2019)

SISRSet: Single image super-resolution subjective evaluation test and objective quality assessment. - Guangming Shi; Wenfei Wan; Jinjian Wu; Xuemei Xie; Weisheng Dong; Hong Ren Wu (Neurocomputing, 2019)

No-reference image quality assessment with visual pattern degradation. - Jinjian Wu; Man Zhang 007; Leida Li; Weisheng Dong; Guangming Shi; Weisi Lin (Inf. Sci., 2019)

Blind image quality assessment with hierarchy: Degradation from local structure to deep semantics. - Jinjian Wu; Jichen Zeng; Weisheng Dong; Guangming Shi; Weisi Lin (J. Vis. Commun. Image Represent., 2019)

Denoising Prior Driven Deep Neural Network for Image Restoration. - Weisheng Dong; Peiyao Wang; Wotao Yin; Guangming Shi; Fangfang Wu; Xiaotong Lu (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Multi-layer discriminative dictionary learning with locality constraint for image classification. - Jianqiang Song; Xuemei Xie; Guangming Shi; Weisheng Dong (Pattern Recognit., 2019)

Image Caption Generation with Part of Speech Guidance. - Xinwei He 001; Baoguang Shi; Xiang Bai; Gui-Song Xia; Zhaoxiang Zhang 001; Weisheng Dong (Pattern Recognit. Lett., 2019)

Deep Spatial-Spectral Representation Learning for Hyperspectral Image Denoising. - Weisheng Dong; Huan Wang; Fangfang Wu; Guangming Shi; Xin Li 005 (IEEE Trans. Computational Imaging, 2019)

Quality Assessment for Video With Degradation Along Salient Trajectories. - Jinjian Wu; Yongxu Liu 001; Weisheng Dong; Guangming Shi; Weisi Lin (IEEE Trans. Multim., 2019)

Spatial-Temporal Gaussian Scale Mixture Modeling for Foreground Estimation. - Qian Ning; Weisheng Dong; Fangfang Wu; Jinjian Wu; Jie Lin; Guangming Shi (AAAI, 2020)

MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment. - Hancheng Zhu; Leida Li; Jinjian Wu; Weisheng Dong; Guangming Shi (CVPR, 2020)

Active Inference of GAN for No-Reference Image Quality Assessment. - Jupo Ma; Jinjian Wu; Leida Li; Weisheng Dong; Xuemei Xie (ICME, 2020)

Beyond Network Pruning: a Joint Search-and-Training Approach. - Xiaotong Lu; Han Huang; Weisheng Dong; Xin Li 005; Guangming Shi (IJCAI, 2020)

Accelerating Convolutional Neural Network via Structured Gaussian Scale Mixture Models: A Joint Grouping and Pruning Approach. - Tao Huang; Weisheng Dong; Jinshan Liu; Fangfang Wu; Guangming Shi; Xin Li 005 (IEEE J. Sel. Top. Signal Process., 2020)

End-to-End Blind Image Quality Prediction With Cascaded Deep Neural Network. - Jinjian Wu; Jupo Ma; Fuhu Liang; Weisheng Dong; Guangming Shi; Weisi Lin (IEEE Trans. Image Process., 2020)

Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging. - Tao Huang; Weisheng Dong; Xin Yuan 002; Jinjian Wu; Guangming Shi (CVPR, 2021)

Unsupervised Curriculum Domain Adaptation for No-Reference Video Quality Assessment. - Pengfei Chen 003; Leida Li; Jinjian Wu; Weisheng Dong; Guangming Shi (ICCV, 2021)

No-Reference Video Quality Assessment with Heterogeneous Knowledge Ensemble. - Jinjian Wu; Yongxu Liu 001; Leida Li; Weisheng Dong; Guangming Shi (ACM Multimedia, 2021)

Image Quality Caption with Attentive and Recurrent Semantic Attractor Network. - Wen Yang; Jinjian Wu; Leida Li; Weisheng Dong; Guangming Shi (ACM Multimedia, 2021)

Uncertainty-Driven Loss for Single Image Super-Resolution. - Qian Ning; Weisheng Dong; Xin Li 005; Jinjian Wu; Guangming Shi (NeurIPS, 2021)

Searching Efficient Model-guided Deep Network for Image Denoising. - Qian Ning; Weisheng Dong; Xin Li 005; Jinjian Wu; Leida Li; Guangming Shi (CoRR, 2021)

Lightweight Image Super-Resolution with Hierarchical and Differentiable Neural Architecture Search. - Han Huang; Li Shen 005; Chaoyang He 001; Weisheng Dong; Haozhi Huang 001; Guangming Shi (CoRR, 2021)

Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions. - Yang Wu 001; Dingheng Wang; Xiaotong Lu; Fan Yang 032; Guoqi Li; Weisheng Dong; Jianbo Shi (CoRR, 2021)

Deep Maximum a Posterior Estimator for Video Denoising. - Lu Sun; Weisheng Dong; Xin Li 005; Jinjian Wu; Leida Li; Guangming Shi (Int. J. Comput. Vis., 2021)

Toward blind joint demosaicing and denoising of raw color filter array data. - Fangfang Wu; Tao Huang; Weisheng Dong; Guangming Shi; Zhonglong Zheng; Xin Li 005 (Neurocomputing, 2021)

Blind image quality prediction with hierarchical feature aggregation. - Jinjian Wu; Wen Yang; Leida Li; Weisheng Dong; Guangming Shi; Weisi Lin (Inf. Sci., 2021)

Accurate and Lightweight Image Super-Resolution With Model-Guided Deep Unfolding Network. - Qian Ning; Weisheng Dong; Guangming Shi; Leida Li; Xin Li 005 (IEEE J. Sel. Top. Signal Process., 2021)

Robust subspace clustering network with dual-domain regularization. - Fangfang Wu; Peng Yuan; Guangming Shi; Xin Li 005; Weisheng Dong; Jinjian Wu (Pattern Recognit. Lett., 2021)

Hybrid sparsity learning for image restoration: An iterative and trainable approach. - Fangfang Wu; Weisheng Dong; Tao Huang; Guangming Shi; Shaoyuan Cheng; Xin Li 005 (Signal Process., 2021)

Model-Guided Deep Hyperspectral Image Super-Resolution. - Weisheng Dong; Chen Zhou 005; Fangfang Wu; Jinjian Wu; Guangming Shi; Xin Li 005 (IEEE Trans. Image Process., 2021)

Blind Image Quality Assessment With Active Inference. - Jupo Ma; Jinjian Wu; Leida Li; Weisheng Dong; Xuemei Xie; Guangming Shi; Weisi Lin (IEEE Trans. Image Process., 2021)

Probabilistic Undirected Graph Based Denoising Method for Dynamic Vision Sensor. - Jinjian Wu; Chuanwei Ma; Leida Li; Weisheng Dong; Guangming Shi (IEEE Trans. Multim., 2021)

Robust Depth Completion with Uncertainty-Driven Loss Functions. - Yufan Zhu; Weisheng Dong; Leida Li; Jinjian Wu; Xin Li 005; Guangming Shi (AAAI, 2022)

Uncertainty Learning in Kernel Estimation for Multi-stage Blind Image Super-Resolution. - Zhenxuan Fang; Weisheng Dong; Xin Li 005; Jinjian Wu; Leida Li; Guangming Shi (ECCV (18), 2022)

Self-feature Distillation with Uncertainty Modeling for Degraded Image Recognition. - Zhou Yang; Weisheng Dong; Xin Li 005; Jinjian Wu; Leida Li; Guangming Shi (ECCV (24), 2022)

Supervised Contrastive Learning-Based Deep Hash Retrieval for Remote Sensing Image. - Mengluan Huang; Le Dong; Weisheng Dong; Guangming Shi (IGARSS, 2022)

Learning Degradation Uncertainty for Unsupervised Real-world Image Super-resolution. - Qian Ning; Jingzhu Tang; Fangfang Wu; Weisheng Dong; Xin Li 005; Guangming Shi (IJCAI, 2022)

AEDNet: Asynchronous Event Denoising with Spatial-Temporal Correlation among Irregular Data. - Huachen Fang; Jinjian Wu; Leida Li; Junhui Hou; Weisheng Dong; Guangming Shi (ACM Multimedia, 2022)

Bayesian based Re-parameterization for DNN Model Pruning. - Xiaotong Lu; Teng Xi; Baopu Li; Gang Zhang; Weisheng Dong; Guangming Shi (ACM Multimedia, 2022)

Learning for Motion Deblurring with Hybrid Frames and Events. - Wen Yang; Jinjian Wu; Jupo Ma; Leida Li; Weisheng Dong; Guangming Shi (ACM Multimedia, 2022)

Robust Dynamic Background Modeling for Foreground Estimation. - Qian Ning; Fangfang Wu; Weisheng Dong; Jinjian Wu; Guangming Shi; Xin Li 005 (VCIP, 2022)

Efficient Visual Recognition: A Survey on Recent Advances and Brain-inspired Methodologies. - Yang Wu 001; Dingheng Wang; Xiaotong Lu; Fan Yang 032; Man Yao; Weisheng Dong; Jianbo Shi; Guoqi Li (Int. J. Autom. Comput., 2022)

Correlation filters based on spatial-temporal Gaussion scale mixture modelling for visual tracking. - Yuan Cao; Guangming Shi; Weisheng Dong; Tianzhu Zhang 001; Jinjian Wu; Xuemei Xie; Xin Li 005 (Neurocomputing, 2022)

Blind image quality assessment based on progressive multi-task learning. - Aobo Li; Jinjian Wu; Shiwei Tian; Leida Li; Weisheng Dong; Guangming Shi (Neurocomputing, 2022)

Deep Hyperspectral Image Fusion Network With Iterative Spatio-Spectral Regularization. - Tao Huang; Weisheng Dong; Jinjian Wu; Leida Li; Xin Li 005; Guangming Shi (IEEE Trans. Computational Imaging, 2022)

Bayesian Correlation Filter Learning With Gaussian Scale Mixture Model for Visual Tracking. - Yuan Cao; Guangming Shi; Tianzhu Zhang 001; Weisheng Dong; Jinjian Wu; Xuemei Xie; Xin Li 005 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Blind Image Quality Index for Authentic Distortions With Local and Global Deep Feature Aggregation. - Leida Li; Tianshu Song; Jinjian Wu; Weisheng Dong; Jiansheng Qian; Guangming Shi (IEEE Trans. Circuits Syst. Video Technol., 2022)

Spatiotemporal Representation Learning for Blind Video Quality Assessment. - Yongxu Liu 001; Jinjian Wu; Leida Li; Weisheng Dong; Jinpeng Zhang; Guangming Shi (IEEE Trans. Circuits Syst. Video Technol., 2022)

Generalizable No-Reference Image Quality Assessment via Deep Meta-Learning. - Hancheng Zhu; Leida Li; Jinjian Wu; Weisheng Dong; Guangming Shi (IEEE Trans. Circuits Syst. Video Technol., 2022)

Contrastive Self-Supervised Pre-Training for Video Quality Assessment. - Pengfei Chen 003; Leida Li; Jinjian Wu; Weisheng Dong; Guangming Shi (IEEE Trans. Image Process., 2022)

Fine-Grained Image Quality Caption With Hierarchical Semantics Degradation. - Wen Yang; Jinjian Wu; Shiwei Tian; Leida Li; Weisheng Dong; Guangming Shi (IEEE Trans. Image Process., 2022)

Video Quality Assessment With Serial Dependence Modeling. - Yongxu Liu 001; Jinjian Wu; Aobo Li; Leida Li; Weisheng Dong; Guangming Shi; Weisi Lin (IEEE Trans. Multim., 2022)

Self-supervised Non-uniform Kernel Estimation with Flow-based Motion Prior for Blind Image Deblurring. - Zhenxuan Fang; Fangfang Wu; Weisheng Dong; Xin Li 005; Jinjian Wu; Guangming Shi (CVPR, 2023)

TFRGAN: Leveraging Text Information for Blind Face Restoration with Extreme Degradation. - Chengxing Xie; Qian Ning; Weisheng Dong; Guangming Shi (CVPR Workshops, 2023)

Vector Quantization with Self-Attention for Quality-Independent Representation Learning. - Zhou Yang; Weisheng Dong; Xin Li 005; Mengluan Huang; Yulin Sun; Guangming Shi (CVPR, 2023)

Low-Light Image Enhancement with Multi-stage Residue Quantization and Brightness-aware Attention. - Yunlong Liu; Tao Huang; Weisheng Dong; Fangfang Wu; Xin Li 005; Guangming Shi (ICCV, 2023)

Exploring Correlations in Degraded Spatial Identity Features for Blind Face Restoration. - Qian Ning; Fangfang Wu; Weisheng Dong; Xin Li 005; Guangming Shi (ACM Multimedia, 2023)

AesCLIP: Multi-Attribute Contrastive Learning for Image Aesthetics Assessment. - Xiangfei Sheng; Leida Li; Pengfei Chen 003; Jinjian Wu; Weisheng Dong; Yuzhe Yang 001; Liwu Xu; Yaqian Li; Guangming Shi (ACM Multimedia, 2023)

Event-based Motion Deblurring with Modality-Aware Decomposition and Recomposition. - Wen Yang; Jinjian Wu; Leida Li; Weisheng Dong; Guangming Shi (ACM Multimedia, 2023)

Bayesian Deep Learning for Image Reconstruction: From structured sparsity to uncertainty estimation. - Weisheng Dong; Jinjian Wu; Leida Li; Guangming Shi; Xin Li 005 (IEEE Signal Process. Mag., 2023)

Uncertainty-Driven Knowledge Distillation for Language Model Compression. - Tianyu Huang; Weisheng Dong; Fangfang Wu; Xin Li 005; Guangming Shi (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Supervised Contrastive Learning Based on Fusion of Global and Local Features for Remote Sensing Image Retrieval. - Mengluan Huang; Le Dong; Weisheng Dong; Guangming Shi (IEEE Trans. Geosci. Remote. Sens., 2023)

Searching Efficient Model-Guided Deep Network for Image Denoising. - Qian Ning; Weisheng Dong; Xin Li 005; Jinjian Wu (IEEE Trans. Image Process., 2023)

Spatially Varying Prior Learning for Blind Hyperspectral Image Fusion. - Junwei Xu; Fangfang Wu; Xin Li 005; Weisheng Dong; Tao Huang; Guangming Shi (IEEE Trans. Image Process., 2023)

MADPL-net: Multi-layer attention dictionary pair learning network for image classification. - Yulin Sun; Guangming Shi; Weisheng Dong; Xuemei Xie (J. Vis. Commun. Image Represent., 2023)

ECSNet: Spatio-Temporal Feature Learning for Event Camera. - Zhiwen Chen 002; Jinjian Wu; Junhui Hou; Leida Li; Weisheng Dong; Guangming Shi (IEEE Trans. Circuits Syst. Video Technol., 2023)

Quality Assessment of UGC Videos Based on Decomposition and Recomposition. - Yongxu Liu 001; Jinjian Wu; Leida Li; Weisheng Dong; Guangming Shi (IEEE Trans. Circuits Syst. Video Technol., 2023)

Dynamic Expert-Knowledge Ensemble for Generalizable Video Quality Assessment. - Pengfei Chen 003; Leida Li; Haoliang Li; Jinjian Wu; Weisheng Dong; Guangming Shi (IEEE Trans. Circuits Syst. Video Technol., 2023)

Differentiable Neural Architecture Search for Extremely Lightweight Image Super-Resolution. - Han Huang; Li Shen 008; Chaoyang He 001; Weisheng Dong; Wei Liu 005 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Memory Based Temporal Fusion Network for Video Deblurring. - Chaohua Wang; Weisheng Dong; Xin Li 005; Fangfang Wu; Jinjian Wu; Guangming Shi (Int. J. Comput. Vis., 2023)

Superresolution Image Reconstruction: Selective milestones and open problems. - Xin Li 005; Weisheng Dong; Jinjian Wu; Leida Li; Guangming Shi (IEEE Signal Process. Mag., 2023)

Adaptive Search-and-Training for Robust and Efficient Network Pruning. - Xiaotong Lu; Weisheng Dong; Xin Li 005; Jinjian Wu; Leida Li; Guangming Shi (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Deep Gaussian Scale Mixture Prior for Image Reconstruction. - Tao Huang; Xin Yuan 002; Weisheng Dong; Jinjian Wu; Guangming Shi (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Deep Unfolding Network for Efficient Mixed Video Noise Removal. - Lu Sun; Yichen Wang; Fangfang Wu; Xin Li 005; Weisheng Dong; Guangming Shi (IEEE Trans. Circuits Syst. Video Technol., 2023)

Transfer learning for just noticeable difference estimation. - Yongwei Mao; Jinjian Wu; Xing Wang; Leida Li; Weisheng Dong (Inf. Sci., 2023)

Inverse Weight-Balancing for Deep Long-Tailed Learning. - Wenqi Dang; Zhou Yang; Weisheng Dong; Xin Li 005; Guangming Shi (AAAI, 2024)

External Knowledge Enhanced 3D Scene Generation from Sketch. - Zijie Wu; Mingtao Feng; Yaonan Wang 001; He Xie; Weisheng Dong; Bo Miao; Ajmal Mian (ECCV (6), 2024)

Hyperspectral Image Denoising Based on Nonlocal Memory-Augmented Spectral Attention. - Yige Mo; Le Dong; Weitong Zhang; Junpeng Zhang; Weisheng Dong (IGARSS, 2024)

Semantics-Aware Image Aesthetics Assessment using Tag Matching and Contrastive Ranking. - Zhichao Yang 013; Leida Li; Pengfei Chen 003; Jinjian Wu; Weisheng Dong (ACM Multimedia, 2024)

Beyond Skeletons: Integrative Latent Mapping for Coherent 4D Sequence Generation. - Qitong Yang; Mingtao Feng; Zijie Wu; Shijie Sun 001; Weisheng Dong; Yaonan Wang 001; Ajmal Mian (CoRR, 2024)

Back to the Color: Learning Depth to Specific Color Transformation for Unsupervised Depth Estimation. - Yufan Zhu; Chongzhi Ran; Mingtao Feng; Weisheng Dong; Antonio M. López 001; Guangming Shi (CoRR, 2024)

Multi-Teacher Multi-Objective Meta-Learning for Zero-Shot Hyperspectral Band Selection. - Jie Feng 003; Xiaojian Zhong; Di Li; Weisheng Dong; Ronghua Shang; Licheng Jiao (CoRR, 2024)

S4DL: Shift-sensitive Spatial-Spectral Disentangling Learning for Hyperspectral Image Unsupervised Domain Adaptation. - Jie Feng 003; Tianshu Zhang; Junpeng Zhang 002; Ronghua Shang; Weisheng Dong; Guangming Shi; Licheng Jiao (CoRR, 2024)

ERVD: An Efficient and Robust ViT-Based Distillation Framework for Remote Sensing Image Retrieval. - Le Dong; Qixuan Cao; Lei Pu; Fangfang Wu; Weisheng Dong; Xin Li 005; Guangming Shi (CoRR, 2024)

TSUDepth: Exploring temporal symmetry-based uncertainty for unsupervised monocular depth estimation. - Yufan Zhu; Rui Ren; Weisheng Dong; Xin Li 005; Guangming Shi (Neurocomputing, 2024)

Quality-aware blind image motion deblurring. - Tianshu Song; Leida Li; Jinjian Wu; Weisheng Dong; Deqiang Cheng (Pattern Recognit., 2024)

Learning real-world heterogeneous noise models with a benchmark dataset. - Lu Sun; Jie Lin; Weisheng Dong; Xin Li 005; Jinjian Wu; Guangming Shi (Pattern Recognit., 2024)

TransVQA: Transferable Vector Quantization Alignment for Unsupervised Domain Adaptation. - Yulin Sun; Weisheng Dong; Xin Li 005; Le Dong; Guangming Shi; Xuemei Xie (IEEE Trans. Image Process., 2024)

Multi-Scale Spatio-Temporal Memory Network for Lightweight Video Denoising. - Lu Sun; Fangfang Wu; Wei Ding; Xin Li 005; Jie Lin; Weisheng Dong; Guangming Shi (IEEE Trans. Image Process., 2024)

Learning Frame-Event Fusion for Motion Deblurring. - Wen Yang; Jinjian Wu; Jupo Ma; Leida Li; Weisheng Dong; Guangming Shi (IEEE Trans. Image Process., 2024)

Blind Image Quality Assessment Based on Perceptual Comparison. - Aobo Li; Jinjian Wu; Yongxu Liu 001; Leida Li; Weisheng Dong; Guangming Shi (IEEE Trans. Multim., 2024)

Motion-Oriented Hybrid Spiking Neural Networks for Event-Based Motion Deblurring. - Zhaoxin Liu; Jinjian Wu; Guangming Shi; Wen Yang; Weisheng Dong; Qinghang Zhao (IEEE Trans. Circuits Syst. Video Technol., 2024)

Memory Augmentation and Non-Local Spectral Attention for Hyperspectral Denoising. - Le Dong; Yige Mo; Hao Sun 014; Fangfang Wu; Weisheng Dong (Remote. Sens., 2024)

Uncertainty Modeling of the Transmission Map for Single Image Dehazing. - Bokang Wang; Qian Ning; Fangfang Wu; Xin Li 005; Weisheng Dong; Guangming Shi (IEEE Trans. Circuits Syst. Video Technol., 2024)

3D Object Detection From Point Cloud via Voting Step Diffusion. - Haoran Hou; Mingtao Feng; Zijie Wu; Weisheng Dong; Qing Zhu; Yaonan Wang 001; Ajmal Mian (IEEE Trans. Circuits Syst. Video Technol., 2024)

Semantic Ambiguity Modeling and Propagation for Fine-Grained Visual Cross View Geo-Localization. - Mingtao Feng; Fenghao Tian; Jianqiao Luo; Zijie Wu; Weisheng Dong; Yaonan Wang 001; Ajmal Saeed Mian (AAAI, 2025)

Asymmetric Hierarchical Difference-aware Interaction Network for Event-guided Motion Deblurring. - Wen Yang; Jinjian Wu; Leida Li; Weisheng Dong; Guangming Shi (AAAI, 2025)

Feature Information Driven Position Gaussian Distribution Estimation for Tiny Object Detection. - Jinghao Bian; Mingtao Feng; Weisheng Dong; Fangfang Wu; Jianqiao Luo; Yaonan Wang 001; Guangming Shi (CVPR, 2025)

Parameterized Blur Kernel Prior Learning for Local Motion Deblurring. - Zhenxuan Fang; Fangfang Wu; Tao Huang; Le Dong; Weisheng Dong; Xin Li 005; Guangming Shi (CVPR, 2025)

Gain from Neighbors: Boosting Model Robustness in the Wild via Adversarial Perturbations Toward Neighboring Classes. - Zhou Yang; Mingtao Feng; Tao Huang; Fangfang Wu; Weisheng Dong; Xin Li 005; Guangming Shi (CVPR, 2025)

Hierarchical Gaussian Mixture Model Splatting for Efficient and Part Controllable 3D Generation. - Qitong Yang; Mingtao Feng; Zijie Wu; Weisheng Dong; Fangfang Wu; Yaonan Wang 001; Ajmal Mian (CVPR, 2025)

Bridging Task Boundaries: Remote Sensing Image-Text Retrieval via Dictionary-Driven Adaptation. - Junwei Xu; Tao Huang; Zhenyu Wang; Weisheng Dong; Xin Li (ICASSP, 2025)

Searching efficient network with lightweight optimization for image super-resolution. - Ruina Shen; Zhangheng Peng; Le Dong; Jun Wang; Weisheng Dong; Guangming Shi (Neurocomputing, 2025)

Growing-before-pruning: A progressive neural architecture search strategy via group sparsity and deterministic annealing. - Xiaotong Lu; Weisheng Dong; Zhenxuan Fang; Jie Lin; Xin Li 005; Guangming Shi (Pattern Recognit., 2025)

SA-MixNet: Structure-Aware Mixup and Invariance Learning for Scribble-Supervised Road Extraction in Remote Sensing Images. - Jie Feng 003; Hao Huang; Junpeng Zhang 002; Weisheng Dong; Dingwen Zhang; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2025)

CrossEI: Boosting Motion-Oriented Object Tracking With an Event Camera. - Zhiwen Chen 002; Jinjian Wu; Weisheng Dong; Leida Li; Guangming Shi (IEEE Trans. Image Process., 2025)

Local Uncertainty Energy Transfer for Active Domain Adaptation. - Yulin Sun; Guangming Shi; Weisheng Dong; Xin Li 005; Le Dong; Xuemei Xie (IEEE Trans. Image Process., 2025)

Joint Spatial and Frequency Domain Learning for Lightweight Spectral Image Demosaicing. - Fangfang Wu; Tao Huang; Junwei Xu; Xun Cao; Weisheng Dong; Le Dong; Guangming Shi (IEEE Trans. Image Process., 2025)

Spatial-Spectral Mixing Transformer With Hybrid Image Prior for Multispectral Image Demosaicing. - Le Dong; Mengzu Liu; Tengteng Tang; Tao Huang; Jie Lin; Weisheng Dong; Guangming Shi (IEEE J. Sel. Top. Signal Process., 2025)

Towards Explainable Image Aesthetics Assessment With Attribute-Oriented Critiques Generation. - Leida Li; Xiangfei Sheng; Pengfei Chen 003; Jinjian Wu; Weisheng Dong (IEEE Trans. Circuits Syst. Video Technol., 2025)

Discriminative Correspondence Estimation for Unsupervised RGB-D Point Cloud Registration. - Chenbo Yan; Mingtao Feng; Zijie Wu; Yulan Guo; Weisheng Dong; Yaonan Wang 001; Ajmal Mian (IEEE Trans. Circuits Syst. Video Technol., 2025)

EgoSplat: Open-Vocabulary Egocentric Scene Understanding with Language Embedded 3D Gaussian Splatting. - Di Li; Jie Feng 003; Jiahao Chen; Weisheng Dong; Guanbin Li; Guangming Shi; Licheng Jiao (CoRR, 2025)

Fast Window-Based Event Denoising With Spatiotemporal Correlation Enhancement. - Huachen Fang; Jinjian Wu; Qibin Hou; Weisheng Dong; Guangming Shi (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Controlled Data Rebalancing in Multi-Task Learning for Real-World Image Super-Resolution. - Shuchen Lin; Mingtao Feng; Weisheng Dong; Fangfang Wu; Jianqiao Luo; Yaonan Wang 001; Guangming Shi (CoRR, 2025)

CDS-Net: Contextual Difference Sensitivity Network for Pixel-Wise Road Crack Detection. - Qinzhong Tan; Ao Li; Le Dong; Weisheng Dong; Xin Li 005; Guangming Shi (IEEE Trans. Circuits Syst. Video Technol., 2025)

SeqAffordSplat: Scene-level Sequential Affordance Reasoning on 3D Gaussian Splatting. - Di Li; Jie Feng 003; Jiahao Chen; Weisheng Dong; Guanbin Li; Yuhui Zheng; Mingtao Feng; Guangming Shi (CoRR, 2025)

Scene-Modulated High-Order Statistical Representation Learning for No-Reference Super-Resolution Image Quality Assessment. - Yongwei Mao; Jinjian Wu; Yongxu Liu 001; Leida Li; Weisheng Dong (IEEE Trans. Circuits Syst. Video Technol., 2025)

Hyperrectangle Embedding for Debiased 3D Scene Graph Prediction From RGB Sequences. - Mingtao Feng; Chenbo Yan; Zijie Wu; Weisheng Dong; Yaonan Wang 001; Ajmal Mian (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

History-Enhanced 3D Scene Graph Reasoning From RGB-D Sequences. - Mingtao Feng; Chenbo Yan; Zijie Wu; Weisheng Dong; Yaonan Wang 001; Ajmal Mian (IEEE Trans. Circuits Syst. Video Technol., 2025)

Locally Aware Visual State Space for Small Defect Segmentation in Complex Component Images. - Jinghao Bian; Mingtao Feng; Weisheng Dong; Zijie Wu; Jianqiao Luo; Fangfang Wu; Yaonan Wang 001; Guangming Shi (IEEE Trans. Ind. Informatics, 2025)