Approximation in Formal Concept Analysis. - Ming-Wen Shao; Wen-Xiu Zhang (RSFDGrC (1), 2005)

Dominance relation and rules in an incomplete ordered information system. - Ming-Wen Shao; Wen-Xiu Zhang (Int. J. Intell. Syst., 2005)

Knowledge Reduction Based on Evidence Reasoning Theory in Ordered Information Systems. - Wei-Hua Xu 003; Ming-Wen Shao; Wen-Xiu Zhang (KSEM, 2006)

Rough Fuzzy Set Approximations in Fuzzy Formal Contexts. - Ming-Wen Shao; Min Liu 013; Wen-Xiu Zhang (RSCTC, 2006)

Multi-level Formal Concepts in Fuzzy Formal Contexts. - Ming-Wen Shao; Chang-Xuan Wan (GrC, 2007)

The Approximation Operators Within Formal Contexts. - Ming-Wen Shao (MUE, 2007)

Two Types of Generalized Variable Precision Formal Concepts. - Hong-Zhi Yang; Ming-Wen Shao (RSEISP, 2007)

A Complete Method to Incomplete Information Systems. - Ming-Wen Shao (RSKT, 2007)

Set Approximations in Multi-level Conceptual Data. - Ming-Wen Shao; Hong-Zhi Yang; Shi-Qing Fan (RSKT, 2007)

Reduction method for concept lattices based on rough set theory and its application. - Min Liu 013; Ming-Wen Shao; Wen-Xiu Zhang; Cheng Wu (Comput. Math. Appl., 2007)

Set approximations in fuzzy formal concept analysis. - Ming-Wen Shao; Min Liu 013; Wen-Xiu Zhang (Fuzzy Sets Syst., 2007)

Attribute Characters of Formal Contexts under Homomorphisms. - Hong-Zhi Yang; Ming-Wen Shao (GrC, 2008)

Maximal Dominance Link technique for knowledge aquisition in ordered information system. - Ming-Wen Shao; Fang-Gang Wu (GrC, 2009)

A Novel Attribute Reduction Approach Based on the Object Oriented Concept Lattice. - Mingwen Shao; Li Guo; Lan Li (RSKT, 2011)

Rule acquisition and attribute reduction in real decision formal contexts. - Hong-Zhi Yang; Yee Leung; Ming-Wen Shao (Soft Comput., 2011)

Attribute characteristics of combined formal contexts. - Ming-Wen Shao; Min Liu 013; Jinghua Hao (CCIS, 2012)

Attribute reduction and attribute characteristics of formal contexts. - Eric C. C. Tsang; Ming-Wen Shao (ICMLC, 2013)

Vector-based Attribute Reduction Method for Formal Contexts. - Mingwen Shao; Min Liu 013; Li Guo (Fundam. Informaticae, 2013)

Generalized fuzzy rough approximation operators determined by fuzzy implicators. - Wei-Zhi Wu 001; Yee Leung; Ming-Wen Shao (Int. J. Approx. Reason., 2013)

Two kinds of multi-level formal concepts and its application for sets approximations. - Mingwen Shao; Hong-Zhi Yang (Int. J. Mach. Learn. Cybern., 2013)

Approachs to Computing Maximal Consistent Block. - Xiangrui Liu; Mingwen Shao (ICMLC (CCIS volume), 2014)

Rule acquisition and complexity reduction in formal decision contexts. - Ming-Wen Shao; Yee Leung; Wei-Zhi Wu 001 (Int. J. Approx. Reason., 2014)

Relations between granular reduct and dominance reduct in formal contexts. - Ming-Wen Shao; Yee Leung (Knowl. Based Syst., 2014)

Fuzzy Integral Based on Mutual Information for Software Defect Prediction. - Lu Liu; Kewen Li 002; Mingwen Shao; Wenying Liu (CCBD, 2015)

A new type of generalized one-sided concept lattices and its knowledge reduction. - Ming-Wen Shao; Kewen Li 002 (ICMLC, 2015)

An improved attribute reduction scheme with covering based rough sets. - Changzhong Wang; Mingwen Shao; Baiqing Sun; Qinghua Hu (Appl. Soft Comput., 2015)

A Novel Dynamic Weight Neural Network Ensemble Model. - Kewen Li 002; Wenying Liu; Kang Zhao; Mingwen Shao; Lu Liu (Int. J. Distributed Sens. Networks, 2015)

Knowledge reduction in formal fuzzy contexts. - Ming-Wen Shao; Hong-Zhi Yang; Wei-Zhi Wu 001 (Knowl. Based Syst., 2015)

Axiomatic characterizations of (S, T)-fuzzy rough approximation operators. - Wei-Zhi Wu 001; You-Hong Xu; Ming-Wen Shao; Guoyin Wang 001 (Inf. Sci., 2016)

Granular reducts of formal fuzzy contexts. - Ming-Wen Shao; Yee Leung; Xi-Zhao Wang; Wei-Zhi Wu 001 (Knowl. Based Syst., 2016)

Feature subset selection based on fuzzy neighborhood rough sets. - Changzhong Wang; Mingwen Shao; Qiang He 003; Yuhua Qian; Yali Qi (Knowl. Based Syst., 2016)

Attribute reduction in generalized one-sided formal contexts. - Ming-Wen Shao; Kewen Li 002 (Inf. Sci., 2017)

A unified information measure for general binary relations. - Changzhong Wang; Qiang He 003; Mingwen Shao; Yangyang Xu; Qinghua Hu (Knowl. Based Syst., 2017)

Concept granular computing systems and their approximation operators. - Faming Gong; Ming-Wen Shao; Guofang Qiu (Int. J. Mach. Learn. Cybern., 2017)

A data reduction method in formal fuzzy contexts. - Kewen Li 002; Ming-Wen Shao; Wei-Zhi Wu 001 (Int. J. Mach. Learn. Cybern., 2017)

Constructing lattice based on irreducible concepts. - Xin Li; Ming-Wen Shao; Xing-Min Zhao (Int. J. Mach. Learn. Cybern., 2017)

Editorial. - Weihua Xu 003; Jinhai Li 001; Mingwen Shao; Wen-Xiu Zhang (Int. J. Mach. Learn. Cybern., 2017)

Reliability Evaluation Model of Component-Based Software Based on Complex Network Theory. - Kewen Li 002; Lu Liu; Jiannan Zhai; Taghi M. Khoshgoftaar; Mingwen Shao; Wenying Liu (Qual. Reliab. Eng. Int., 2017)

A Fitting Model for Feature Selection With Fuzzy Rough Sets. - Changzhong Wang; Yali Qi; Mingwen Shao; Qinghua Hu; Degang Chen 002; Yuhua Qian; Yaojin Lin (IEEE Trans. Fuzzy Syst., 2017)

Connections between two-universe rough sets and formal concepts. - Ming-Wen Shao; Li Guo; Changzhong Wang (Int. J. Mach. Learn. Cybern., 2018)

Feature selection based on maximal neighborhood discernibility. - Changzhong Wang; Qiang He 003; Mingwen Shao; Qinghua Hu (Int. J. Mach. Learn. Cybern., 2018)

Uncertainty measures for general fuzzy relations. - Changzhong Wang; Yang Huang 009; Mingwen Shao; Degang Chen 002 (Fuzzy Sets Syst., 2019)

Attribute reduction based on k-nearest neighborhood rough sets. - Changzhong Wang; Yunpeng Shi; Xiaodong Fan; Mingwen Shao (Int. J. Approx. Reason., 2019)

Axiomatic characterizations of adjoint generalized (dual) concept systems. - Ming-Wen Shao; Wei-Zhi Wu 001; Changzhong Wang (J. Intell. Fuzzy Syst., 2019)

Fuzzy rough set-based attribute reduction using distance measures. - Changzhong Wang; Yang Huang 009; Mingwen Shao; Xiaodong Fan (Knowl. Based Syst., 2019)

Using single axioms to characterize (S, T)-intuitionistic fuzzy rough approximation operators. - Wei-Zhi Wu 001; Ming-Wen Shao; Xia Wang (Int. J. Mach. Learn. Cybern., 2019)

Improved PSO_AdaBoost Ensemble Algorithm for Imbalanced Data. - Kewen Li 002; Guangyue Zhou; Jiannan Zhai; Fulai Li; Mingwen Shao (Sensors, 2019)

Homomorphism between ordered decision systems. - Changzhong Wang; Yang Huang 009; Xiaodong Fan; Mingwen Shao (Soft Comput., 2019)

Multi-Attention Generative Adversarial Network for image captioning. - Yiwei Wei; Leiquan Wang; Haiwen Cao; Mingwen Shao; Chunlei Wu (Neurocomputing, 2020)

GAN-based classifier protection against adversarial attacks. - Shuqi Liu; Mingwen Shao; Xinping Liu (J. Intell. Fuzzy Syst., 2020)

Knowledge reduction methods of covering approximate spaces based on concept lattice. - Ming-Wen Shao; Wei-Zhi Wu 001; Xi-Zhao Wang; Changzhong Wang (Knowl. Based Syst., 2020)

Multi-scale generative adversarial inpainting network based on cross-layer attention transfer mechanism. - Mingwen Shao; Wentao Zhang; Wangmeng Zuo; Deyu Meng (Knowl. Based Syst., 2020)

Unsupervised image-to-image translation using intra-domain reconstruction loss. - Yuan Fan; Mingwen Shao; Wangmeng Zuo; Qingyun Li (Int. J. Mach. Learn. Cybern., 2020)

The construction of attribute (object)-oriented multi-granularity concept lattices. - Ming-Wen Shao; Meng-Meng Lv; Kenwen Li; Chang-Zhong Wang (Int. J. Mach. Learn. Cybern., 2020)

Face attribute editing based on generative adversarial networks. - Xiaoxia Song; Mingwen Shao; Wangmeng Zuo; Cunhe Li (Signal Image Video Process., 2020)

Feature Selection Based on Neighborhood Self-Information. - Changzhong Wang; Yang Huang 009; Mingwen Shao; Qinghua Hu; Degang Chen 002 (IEEE Trans. Cybern., 2020)

Fuzzy Rough Attribute Reduction for Categorical Data. - Changzhong Wang; Yan Wang; Mingwen Shao; Yuhua Qian; Degang Chen 002 (IEEE Trans. Fuzzy Syst., 2020)

Selective generative adversarial network for raindrop removal from a single image. - Mingwen Shao; Le Li; Hong Wang 021; Deyu Meng (Neurocomputing, 2021)

Target attack on biomedical image segmentation model based on multi-scale gradients. - Mingwen Shao; Gaozhi Zhang; Wangmeng Zuo; Deyu Meng (Inf. Sci., 2021)

IIT-GAT: Instance-level image transformation via unsupervised generative attention networks with disentangled representations. - Mingwen Shao; Youcai Zhang; Yuan Fan; Wangmeng Zuo; Deyu Meng (Knowl. Based Syst., 2021)

DMDIT: Diverse multi-domain image-to-image translation. - Mingwen Shao; Youcai Zhang; Huan Liu 012; Chao Wang 102; Le Li; Xun Shao (Knowl. Based Syst., 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)

An Adversarial sample defense method based on multi-scale GAN. - Mingwen Shao; Shuqi Liu; Ran Wang 001; Gaozhi Zhang (Int. J. Mach. Learn. Cybern., 2021)

A dynamic CNN pruning method based on matrix similarity. - Mingwen Shao; Junhui Dai; Jiandong Kuang; Deyu Meng (Signal Image Video Process., 2021)

FE-RetinaNet: Small Target Detection with Parallel Multi-Scale Feature Enhancement. - Hong Liang; Junlong Yang; Mingwen Shao (Symmetry, 2021)

Uncertainty Guided Multi-Scale Attention Network for Raindrop Removal From a Single Image. - Ming-Wen Shao; Le Li; Deyu Meng; Wangmeng Zuo (IEEE Trans. Image Process., 2021)

Rule Acquisition in Generalized One-Sided Decision Systems. - Zhiyong Hu; Mingwen Shao; Meishe Liang (IJCRS, 2022)

Cognitive Computing and Rule Extraction in Generalized One-sided Formal Contexts. - Zhiyong Hu; Mingwen Shao; Huan Liu 012; Jvsheng Mi (Cogn. Comput., 2022)

Instance-based dynamic label assignment for object detection. - Zilu Peng; Mingwen Shao; Yuantao Sun; Zeting Liu; Cunhe Li (J. Electronic Imaging, 2022)

Enhanced feature pyramidal network for object detection. - Mingwen Shao; Wei Zhang; Yunhao Li; Bingbing Fan (J. Electronic Imaging, 2022)

Adaptive fine-tuning strategy for few-shot learning. - Xinkai Zhuang; Mingwen Shao; Wei Gao; Jianxin Yang (J. Electronic Imaging, 2022)

From the whole to detail: Progressively sampling discriminative parts for fine-grained recognition. - Chen Guo; Yaojin Lin; Shengyu Chen; Zhichun Zeng; Mingwen Shao; Shaozi Li (Knowl. Based Syst., 2022)

Image rain removal and illumination enhancement done in one go. - Yecong Wan; Yuanshuo Cheng; Mingwen Shao; Jordi Gonzàlez 001 (Knowl. Based Syst., 2022)

Context-Based Multiscale Unified Network for Missing Data Reconstruction in Remote Sensing Images. - Mingwen Shao; Chao Wang 102; Tianjun Wu; Deyu Meng; Jiancheng Luo (IEEE Geosci. Remote. Sens. Lett., 2022)

Global contextual attention for pure regression object detection. - Bingbing Fan; Mingwen Shao; Yunhao Li; Cunhe Li (Int. J. Mach. Learn. Cybern., 2022)

Network pruning via probing the importance of filters. - Jiandong Kuang; Mingwen Shao; Ran Wang 001; Wangmeng Zuo; Weiping Ding 001 (Int. J. Mach. Learn. Cybern., 2022)

CSHE: network pruning by using cluster similarity and matrix eigenvalues. - Mingwen Shao; Junhui Dai; Ran Wang 001; Jiandong Kuang; Wangmeng Zuo (Int. J. Mach. Learn. Cybern., 2022)

Multi-scale global context feature pyramid network for object detector. - Yunhao Li; Mingwen Shao; Bingbing Fan; Wei Zhang (Signal Image Video Process., 2022)

Dual-Pyramidal Image Inpainting With Dynamic Normalization. - Chao Wang 102; Mingwen Shao; Deyu Meng; Wangmeng Zuo (IEEE Trans. Circuits Syst. Video Technol., 2022)

Efficient Pyramidal GAN for Versatile Missing Data Reconstruction in Remote Sensing Images. - Mingwen Shao; Chao Wang 102; Wangmeng Zuo; Deyu Meng (IEEE Trans. Geosci. Remote. Sens., 2022)

An Efficient Frequency Domain Separation Network for Paired and Unpaired Image Super-Resolution. - Huan Liu 012; Mingwen Shao; Yuanjian Qiao 001; Fukang Liu (IJCNN, 2023)

A Single-Stage Unsupervised Denoising Low-Illumination Enhancement Network Based on Swin-Transformer. - Qian Zhang; Chengjie Zou; Mingwen Shao; Hong Liang (IEEE Access, 2023)

Restoring Images Captured in Arbitrary Hybrid Adverse Weather Conditions in One Go. - Yecong Wan; Ming-Wen Shao; Yuanshuo Cheng; Yue-Xian Liu; Zhi-Yuan Bao; Deyu Meng (CoRR, 2023)

DRM-IR: Task-Adaptive Deep Unfolding Network for All-In-One Image Restoration. - Yuanshuo Cheng; Mingwen Shao; Yecong Wan; Chao Wang 102; Wangmeng Zuo (CoRR, 2023)

Data-free Black-box Attack based on Diffusion Model. - Mingwen Shao; Lingzhuang Meng; Yuanjian Qiao 001; Lixu Zhang; Wangmeng Zuo (CoRR, 2023)

Cross-Consistent Deep Unfolding Network for Adaptive All-In-One Video Restoration. - Yuanshuo Cheng; Mingwen Shao; Yecong Wan; Lixu Zhang; Wangmeng Zuo; Deyu Meng (CoRR, 2023)

Progressive convolutional transformer for image restoration. - Yecong Wan; Mingwen Shao; Yuanshuo Cheng; Deyu Meng; Wangmeng Zuo (Eng. Appl. Artif. Intell., 2023)

Meta-BN Net for few-shot learning. - Wei Gao; Mingwen Shao; Jun Shu; Xinkai Zhuang (Frontiers Comput. Sci., 2023)

Contrastive knowledge-augmented self-distillation approach for few-shot learning. - Lixu Zhang; Mingwen Shao; Sijie Chen; Fukang Liu (J. Electronic Imaging, 2023)

Enhancing Efficient Global Understanding Network With CSWin Transformer for Urban Scene Images Segmentation. - Jie Zhang 133; Mingwen Shao; Yuanjian Qiao 001; Xiangyong Cao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Eliminating Spatial Correlations of Anomaly: Corner-Visible Network for Unsupervised Hyperspectral Anomaly Detection. - Leiquan Wang; Yunfeng Wang; Zhongwei Li; Chunlei Wu; Mingming Xu 001; Mingwen Shao (IEEE Trans. Geosci. Remote. Sens., 2023)

Self-supervised learning-based Multi-Scale feature Fusion Network for survival analysis from whole slide images. - Le Li; Yong Liang 001; Mingwen Shao; Shanghui Lu; Shuilin Liao; Dong Ouyang (Comput. Biol. Medicine, 2023)

Graph neural networks induced by concept lattices for classification. - Mingwen Shao; Zhiyong Hu; Weizhi Wu 001; Huan Liu 012 (Int. J. Approx. Reason., 2023)

Uncertainty-guided hierarchical frequency domain Transformer for image restoration. - Mingwen Shao; Yuanjian Qiao 001; Deyu Meng; Wangmeng Zuo (Knowl. Based Syst., 2023)

Improving knowledge distillation via pseudo-multi-teacher network. - Shunhang Li; Mingwen Shao; Zihao Guo; Xinkai Zhuang (Mach. Vis. Appl., 2023)

A novel fuzzy hierarchical fusion attention convolution neural network for medical image super-resolution reconstruction. - Changzhong Wang; Xiang Lv; Mingwen Shao; Yuhua Qian; Yang Zhang (Inf. Sci., 2023)

Image Super-Resolution Using a Simple Transformer Without Pretraining. - Huan Liu 012; Mingwen Shao; Chao Wang 102; Feilong Cao (Neural Process. Lett., 2023)

MSLANet: multi-scale long attention network for skin lesion classification. - Yecong Wan; Yuanshuo Cheng; Mingwen Shao (Appl. Intell., 2023)

Mutual channel prior guided dual-domain interaction network for single image raindrop removal. - Yuanjian Qiao 001; Mingwen Shao; Huan Liu 012; Kai Shang 001 (Comput. Graph., 2023)

Multi-task feature-aligned head in one-stage object detection. - Zeting Liu; Mingwen Shao; Yuantao Sun; Zilu Peng (Signal Image Video Process., 2023)

Multi-domain clustering pruning: Exploring space and frequency similarity based on GAN. - Junsan Zhang; Yeqi Feng; Chao Wang 093; Mingwen Shao; Yujie Jiang; Jian Wang 010 (Neurocomputing, 2023)

Generating adversarial samples by manipulating image features with auto-encoder. - Jianxin Yang; Mingwen Shao; Huan Liu 012; Xinkai Zhuang (Int. J. Mach. Learn. Cybern., 2023)

ESAMask: Real-Time Instance Segmentation Fused with Efficient Sparse Attention. - Qian Zhang; Lu Chen; Mingwen Shao; Hong Liang; Jie Ren (Sensors, 2023)

Inverse transformation sampling-based attentive cutout for fine-grained visual recognition. - Chen Guo; Yaojin Lin; Meiyan Xu; Mingwen Shao; Junfeng Yao (Vis. Comput., 2023)

High-fidelity GAN inversion by frequency domain guidance. - Fukang Liu; Mingwen Shao; Fan Wang; Lixu Zhang (Comput. Graph., 2023)

Global-local transformer for single-image rain removal. - Yecong Wan; Mingwen Shao; Zhi-Yuan Bao; Yuanshuo Cheng (Pattern Anal. Appl., 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)

Knowledge acquisition of multi-granularity ordered information systems. - Zhiyong Hu; Mingwen Shao; Weizhi Wu 001; Leijun Li (Appl. Soft Comput., 2023)

Adaptive one-stage generative adversarial network for unpaired image super-resolution. - Mingwen Shao; Huan Liu 012; Jianxin Yang; Feilong Cao (Neural Comput. Appl., 2023)

FGPGAN: a finer-grained CNN pruning via generative adversarial network. - Hong Liang; Shaoshuai Han; Mingwen Shao; Qian Zhang (J. Supercomput., 2023)

Hairstyle transfer via manipulating decoupled latent codes of StyleGAN2. - Mingwen Shao; Fukang Liu; Zihao Guo; Yuanjian Qiao 001 (Comput. Graph., 2023)

Two-stage structural information enhancement for source-free domain adaptation. - Sijie Chen; Mingwen Shao; Lixu Zhang; Zhiyuan Bao (Mach. Vis. Appl., 2023)

Branch aware assignment for object detection. - Mingwen Shao; Wei Zhang; Yunhao Li; Bingbing Fan (Vis. Comput., 2023)

Adversarial-Based Ensemble Feature Knowledge Distillation. - Mingwen Shao; Shunhang Li; Zilu Peng; Yuantao Sun (Neural Process. Lett., 2023)

Unpaired image super-resolution using a lightweight invertible neural network. - Huan Liu 012; Mingwen Shao; Yuanjian Qiao 001; Yecong Wan; Deyu Meng (Pattern Recognit., 2023)

Deep Fuzzy Clustering Transformer: Learning the General Property of Corruptions for Degradation-Agnostic Multitask Image Restoration. - Yuanshuo Cheng; Mingwen Shao; Yecong Wan; Yue-Xian Liu; Huan Liu 012; Deyu Meng (IEEE Trans. Fuzzy Syst., 2023)

Multi-Domain Multi-Scale Diffusion Model for Low-Light Image Enhancement. - Kai Shang 001; Mingwen Shao; Chao Wang 102; Yuanshuo Cheng; Shuigen Wang (AAAI, 2024)

Inter-Class Topology Alignment for Efficient Black-Box Substitute Attacks. - Lingzhuang Meng; Mingwen Shao; Yuanjian Qiao 001; Wenjie Liu (ECCV (34), 2024)

Uncertainty-Aware Diffusion Model for Real-World Image Dehazing. - Yuanjian Qiao 001; Ming-Wen Shao; Xiao-Dong Tan; Lingzhuang Meng (ICMLC, 2024)

Modal-aware prompt tuning with deep adaptive feature enhancement. - Haonan Wang; Mingwen Shao; Xiaodong Tan 002; Lixu Zhang (Comput. Electr. Eng., 2024)

Adapting visible-light-image diffusion model for infrared image restoration in rainy weather. - Zhaofei Xu; Yuanshuo Cheng; Yuanjian Qiao 001; Yecong Wan; Mingwen Shao; Chong Kang (Comput. Electr. Eng., 2024)

Frequency-aware network for low-light image enhancement. - Kai Shang 001; Mingwen Shao; Yuanjian Qiao 001; Huan Liu 012 (Comput. Graph., 2024)

Pseudo initialization based Few-Shot Class Incremental Learning. - Mingwen Shao; Xinkai Zhuang; Lixu Zhang; Wangmeng Zuo (Comput. Vis. Image Underst., 2024)

When guided diffusion model meets zero-shot image super-resolution. - Huan Liu 012; Mingwen Shao; Kai Shang 001; Yuanjian Qiao 001; Shuigen Wang (Eng. Appl. Artif. Intell., 2024)

Mining positive and negative rules via one-sided fuzzy three-way concept lattices. - Zhiyong Hu; Mingwen Shao; Jusheng Mi; Weizhi Wu 001 (Fuzzy Sets Syst., 2024)

Distance metric-based learning for long-tail object detection. - Mingwen Shao; Zilu Peng (Image Vis. Comput., 2024)

Deceptive deraining attack: a restorative adversarial attack by rain removal. - Wenjie Liu; Mingwen Shao; Lingzhuang Meng; Yuanjian Qiao 001; Zhiyong Hu (J. Electronic Imaging, 2024)

Background-focused contrastive learning for unpaired image-to-image translation. - Mingwen Shao; Minggui Han; Lingzhuang Meng; Fukang Liu (J. Electronic Imaging, 2024)

USDAP: universal source-free domain adaptation based on prompt learning. - Xun Shao; Mingwen Shao; Sijie Chen; Yuanyuan Liu (J. Electronic Imaging, 2024)

RDM-IR: Task-adaptive deep unfolding network for All-In-One image restoration. - Yuanshuo Cheng; Mingwen Shao; Yecong Wan; Chao Wang 102 (Knowl. Based Syst., 2024)

PMFN-SSL: Self-supervised learning-based progressive multimodal fusion network for cancer diagnosis and prognosis. - Le Li; Hudan Pan; Yong Liang 001; Mingwen Shao; Shengli Xie; Shanghui Lu; Shuilin Liao (Knowl. Based Syst., 2024)

Image all-in-one adverse weather removal via dynamic model weights generation. - Yecong Wan; Mingwen Shao; Yuanshuo Cheng; Wangmeng Zuo (Knowl. Based Syst., 2024)

Low-Rank Prompt-Guided Transformer for Hyperspectral Image Denoising. - Xiaodong Tan 002; Mingwen Shao; Yuanjian Qiao 001; Tiyao Liu; Xiangyong Cao (IEEE Trans. Geosci. Remote. Sens., 2024)

Summator-Subtractor Network: Modeling Spatial and Channel Differences for Change Detection. - Leiquan Wang; Ye Fang; Zhongwei Li; Chunlei Wu; Mingming Xu 001; Mingwen Shao (IEEE Trans. Geosci. Remote. Sens., 2024)

Boundary-Aware Spatial and Frequency Dual-Domain Transformer for Remote Sensing Urban Images Segmentation. - Jie Zhang 133; Mingwen Shao; Yecong Wan; Lingzhuang Meng; Xiangyong Cao; Shuigen Wang (IEEE Trans. Geosci. Remote. Sens., 2024)

A dual progressive strategy for long-tailed visual recognition. - Hong Liang; Guoqing Cao; Mingwen Shao; Qian Zhang (Mach. Vis. Appl., 2024)

Image-to-image translation using an offset-based multi-scale codes GAN encoder. - Zihao Guo; Mingwen Shao; Shunhang Li (Vis. Comput., 2024)

Mutually guided learning of global semantics and local representations for image restoration. - Yuanshuo Cheng; Mingwen Shao; Yecong Wan (Multim. Tools Appl., 2024)

Fuzzy-based cross-image pixel contrastive learning for compact medical image segmentation. - Yecong Wan; Mingwen Shao; Yuanshuo Cheng; Weiping Ding 001 (Multim. Tools Appl., 2024)

Learning Depth-Density Priors for Fourier-Based Unpaired Image Restoration. - Yuanjian Qiao 001; Mingwen Shao; Leiquan Wang; Wangmeng Zuo (IEEE Trans. Circuits Syst. Video Technol., 2024)

Recursive residual Fourier transformation for single image deraining. - Zhiyuan Bao; Mingwen Shao; Yecong Wan; Yuanjian Qiao 001 (Int. J. Mach. Learn. Cybern., 2024)

Conditional contrastive learning for unpaired global mosaic removal with a few samples. - Zhiyi Cao; Bin Xie; Lina Huo; Mingwen Shao (Int. J. Mach. Learn. Cybern., 2024)

Dual stage black-box adversarial attack against vision transformer. - Fan Wang; Mingwen Shao; Lingzhuang Meng; Fukang Liu (Int. J. Mach. Learn. Cybern., 2024)

Multidimensional Dynamic Pruning: Exploring Spatial and Channel Fuzzy Sparsity. - Mingwen Shao; Jiandong Kuang; Chao Wang 102; Wangmeng Zuo; Guoyin Wang 001 (IEEE Trans. Fuzzy Syst., 2024)

Advancing Few-Shot Black-Box Attack With Alternating Training. - Lingzhuang Meng; Mingwen Shao; Fan Wang; Yuanjian Qiao 001; Zhaofei Xu (IEEE Trans. Reliab., 2024)

Frequency domain-enhanced transformer for single image deraining. - Mingwen Shao; Zhiyuan Bao; Weihan Liu; Yuanjian Qiao 001; Yecong Wan (Vis. Comput., 2024)

The construction of multi-granularity generalized one-sided concept lattices. - Zhimin Shao; Zhiyong Hu; Meng-Meng Lv; Mingwen Shao; Rui Guo; Shidong Zhang (Int. J. Mach. Learn. Cybern., 2024)

Physical-aware Neural Radiance Fields for Efficient Exposure Correction. - Kai Xu; Mingwen Shao; Yuanjian Qiao 001; Yan Wang (AAAI, 2025)

RestorGS: Depth-aware Gaussian Splatting for Efficient 3D Scene Restoration. - Yuanjian Qiao 001; Mingwen Shao; Lingzhuang Meng; Kai Xu (CVPR, 2025)

S2Gaussian: Sparse-View Super-Resolution 3D Gaussian Splatting. - Yecong Wan; Mingwen Shao; Yuanshuo Cheng; Wangmeng Zuo (CVPR, 2025)

MoE-based Mamba for Multi-scene Universal Remote Sensing Semantic Segmentation. - Jie Zhang 133; Mingwen Shao; Xiaodong Tan 002; Xiangyong Cao (ICME, 2025)

Indirect Alignment and Relationship Preservation for Domain Generalization. - Wei Wei; Zixiong Li; Jing Yan; Mingwen Shao; Lin Li (IJCAI, 2025)

Federated semi-supervised learning for in-domain/Cross-domain Person Re-identification. - Xinyuan Chen; Mingwen Shao; Yi Niu; Qiao Zhang (Appl. Soft Comput., 2025)

Physical-aware uncertainty prompt learning for real-world blind image restoration. - Yuanjian Qiao 001; Mingwen Shao; Lingzhuang Meng; Wangmeng Zuo (Appl. Soft Comput., 2025)

A multi-perturbation consistency framework for semi-supervised person re-identification. - Xinyuan Chen; Yi Niu; Mingwen Shao; Weikuan Jia (Comput. Electr. Eng., 2025)

FCAT-Diff: Flexible and Consistent Appearance Transfer Based on Training-free Diffusion Model. - Zhengyi Gong; Mingwen Shao; Chang Liu 115; Xiang Lv; Huan Liu 012 (Comput. Graph., 2025)

WaveletMamba: Wavelet-based state space model for low light image enhancement. - Kai Shang 001; Mingwen Shao; Chao Wang 102; Xiaodong Tan 002 (Displays, 2025)

MirrorDiff: Prompt redescription for zero-shot grounded text-to-image generation with attention modulation. - Chang Liu 115; Mingwen Shao; Zhengyi Gong; Xiang Lv; Lingzhuang Meng (Eng. Appl. Artif. Intell., 2025)

Adaptive prompt guided unified image restoration with latent diffusion model. - Xiang Lv; Mingwen Shao; Yecong Wan; Yuanjian Qiao 001; Changzhong Wang (Eng. Appl. Artif. Intell., 2025)

Training-free prior guided diffusion model for zero-reference low-light image enhancement. - Kai Shang 001; Mingwen Shao; Chao Wang 102; Yuanjian Qiao 001; Yecong Wan (Neurocomputing, 2025)

Pool-mamba: Pooling state space model for low-light image enhancement. - Qiao Zhang; Mingwen Shao; Xinyuan Chen (Neurocomputing, 2025)

Efficient spatio-temporal modeling and text-enhanced prototype for few-shot action recognition. - Qian Zhang; Shuo Yan; Mingwen Shao; Hong Liang (Neurocomputing, 2025)

Controlling vision-language model for enhancing image restoration. - Mingwen Shao; Weihan Liu; Qiwang Li; Lingzhuang Meng; Yecong Wan (Image Vis. Comput., 2025)

DFDW: Distribution-aware Filter and Dynamic Weight for open-mixed-domain Test-time adaptation. - Mingwen Shao; Xun Shao; Lingzhuang Meng; Yuanyuan Liu (Image Vis. Comput., 2025)

Video forgery detection based on multilocal feature and spatiotemporal fusion. - Peize Hu; Mingwen Shao; Lingzhuang Meng; Yuanjian Qiao 001 (J. Electronic Imaging, 2025)

BM-Edit: Background retention and motion consistency for zero-shot video editing. - Xiang Lv; Mingwen Shao; Yecong Wan; Yue Ma; Yuanshuo Cheng; Lingzhuang Meng (Knowl. Based Syst., 2025)

Dual-level semantic collaboration and inference network for medical image report generation. - Junsan Zhang; Yuxue Liu; Mingwen Shao; Chenglizhao Chen; Zixuan Wang 012; Junliang Li; Yao Wan 001; Philip S. Yu (Knowl. Based Syst., 2025)

CLIP-SDMG:CLIP knowledge distillation based on semantic decoupling and mask generation. - Qian Zhang; Zhicheng Si; Mingwen Shao; Hong Liang (Knowl. Based Syst., 2025)

PDbDa: Prompt-tuned dual-branch framework for unsupervised domain adaptation. - Qian Zhang; Yurui Zhao; Mingwen Shao; Hong Liang (Knowl. Based Syst., 2025)

Degradation-Guided cross-consistent deep unfolding network for video restoration under diverse weathers. - Yuanshuo Cheng; Mingwen Shao; Yecong Wan; Yuanjian Qiao 001; Wangmeng Zuo; Deyu Meng (Neural Networks, 2025)

SeBIR: Semantic-guided burst image restoration. - Huan Liu 012; Mingwen Shao; Yecong Wan; Yuexian Liu; Kai Shang 001 (Neural Networks, 2025)

Learning physical-aware diffusion priors for zero-shot restoration of scattering-affected images. - Yuanjian Qiao 001; Mingwen Shao; Lingzhuang Meng; Wangmeng Zuo (Pattern Recognit., 2025)

Learning to Restore Arbitrary Hybrid adverse weather Conditions in one go. - Yecong Wan; Mingwen Shao; Yuanshuo Cheng; Yuexian Liu; Zhiyuan Bao (Pattern Recognit., 2025)

A Hybrid Model of State-Space Model and Attention for Hyperspectral Image Denoising. - Mingwen Shao; Xiaodong Tan 002; Kai Shang 001; Tiyao Liu; Xiangyong Cao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

PromptSeg: Prompt for Universal Remote Sensing Semantic Segmentation. - Jie Zhang 133; Mingwen Shao; Lingzhuang Meng; Xiangyong Cao; Shuigen Wang (IEEE Trans. Geosci. Remote. Sens., 2025)

Prompt-guided and degradation prior supervised transformer for adverse weather image restoration. - Weihan Liu; Mingwen Shao; Lingzhuang Meng; Yuanjian Qiao 001; Zhiyuan Bao (Appl. Intell., 2025)

Learn A Flexible Exploration Model for Parameterized Action Markov Decision Processes. - Zijian Wang; Bin Wang; Mingwen Shao; Hongbo Dou; Boxiang Tao (CoRR, 2025)

Cross-domain attention-guided domain adaptive method for image real rain removal. - Yuexian Liu; Mingwen Shao; Yuanshuo Cheng; Yecong Wan; Minggui Han (Multim. Tools Appl., 2025)

Multi-level navigation network: advancing fine-grained visual classification. - Hong Liang; Xian Li; Mingwen Shao; Qian Zhang (J. Supercomput., 2025)

MEKF: long-tailed visual recognition via multiple experts with knowledge fusion. - Qian Zhang; Chenghao Ji; Mingwen Shao; Hong Liang (J. Supercomput., 2025)

An efficient video transformer network with token discard and keyframe enhancement for action recognition. - Qian Zhang; Zuosui Yang; Mingwen Shao; Hong Liang (J. Supercomput., 2025)

DS-Diff: a dual-stage network with degradation-aware and semantic-aware for adverse weather removal based on diffusion models. - Qian Zhang; Shasha Li; Mingwen Shao (Multim. Syst., 2025)

Adaptive pseudo-label threshold for source-free domain adaptation. - Mingwen Shao; Sijie Chen; Fan Wang; Lixu Zhang (Neural Comput. Appl., 2025)

Frequency Attacks Based on Invertible Neural Networks. - Ming-Wen Shao; Jian-Xin Yang; Lingzhuang Meng; Zhiyong Hu (IEEE Trans. Artif. Intell., 2025)

Contrastive local constraint for irregular image reconstruction and editability. - Qiwang Li; Mingwen Shao; Fukang Liu; Yuanjian Qiao 001; Zhiyong Hu (Vis. Comput., 2025)

Removing Multiple Hybrid Adverse Weather in Video via a Unified Model. - Yecong Wan; Mingwen Shao; Yuanshuo Cheng; Jun Shu; Shuigen Wang (CoRR, 2025)

Do-DETR: enhancing DETR training convergence with integrated denoising and RoI mechanism. - Hong Liang; Yu Li; Qian Zhang; Mingwen Shao (Multim. Syst., 2025)

Adaptive Fuzzy Degradation Perception Based on CLIP Prior for All-in-One Image Restoration. - Mingwen Shao; Yuexian Liu; Yuanshuo Cheng; Yecong Wan; Changzhong Wang (IEEE Trans. Fuzzy Syst., 2025)

Frequency-Aware Uncertainty Gaussian Splatting for Dynamic Scene Reconstruction. - Mingwen Shao; Yuanjian Qiao 001; Kai Zhang 029; Lingzhuang Meng (IEEE Trans. Vis. Comput. Graph., 2025)

Latent Code Augmentation Based on Stable Diffusion for Data-Free Substitute Attacks. - Mingwen Shao; Lingzhuang Meng; Yuanjian Qiao 001; Lixu Zhang; Wangmeng Zuo (IEEE Trans. Neural Networks Learn. Syst., 2025)

Meta-prompt tuning for low-resource visual question answering. - Mingwen Shao; Yuanyuan Liu; Lingzhuang Meng; Xun Shao (Multim. Syst., 2025)

LSA-MEP: layer-wise sparsity allocation multi-metric evaluation pruning. - Hong Liang; Quanyi Guo; Mingwen Shao; Qian Zhang (J. Supercomput., 2025)

Multi-cue SORT: integrating weak cues with appearance and motion for multi-object tracking. - Hong Liang; Mingchen Xu; Qian Zhang; Mingwen Shao (J. Supercomput., 2025)

Learned image compression with CNN-LocalMamba architectures and multi-context entropy model. - Qian Zhang; Huijin Li; Mingwen Shao; Hong Liang (Clust. Comput., 2025)

Multiple Span Bidirectional RWKV Network for Infrared Image Super-Resolution. - Zhaofei Xu; Yecong Wan; Yuanshuo Cheng; Mingwen Shao; Chong Kang (Int. J. Mach. Learn. Cybern., 2025)

Kdhiera: boosting self-supervised masked video modeling via hierarchical knowledge distillation. - Yunlong Wang; Hong Liang; Mingwen Shao; Qian Zhang (Clust. Comput., 2025)

Midframe-centric token merging for efficient video transformer. - Qian Zhang; Zuosui Yang; Mingwen Shao; Hong Liang (Clust. Comput., 2025)

Color3D: Controllable and Consistent 3D Colorization with Personalized Colorizer. - Yecong Wan; Mingwen Shao; Renlong Wu; Wangmeng Zuo (CoRR, 2025)

DiffRA: universal restorative adversarial attack based on diffusion model. - Mingwen Shao; Wenjie Liu; Lingzhuang Meng; Huan Liu 012; Xiaodong Tan 002 (Multim. Syst., 2025)

Interacthand: Robust 3D Hand Mesh Reconstruction via Interaction-Aware Segmentation and Refinement. - Yan Wang; Mingwen Shao; Chao Wang; Kai Xu; Xiaolin Lu (Vis. Comput., 2025)

Gaussian splitting attack: Gaussian splatting-based multi-view 3D adversarial attack. - Lingzhuang Meng; Mingwen Shao; Yuanjian Qiao 001; Wenjie Liu; Xiang Lv (Pattern Recognit., 2026)