学术影响力
全球前2%科学家榜单(2020，2023-2025)，全球终身科学影响力榜单(2024，2025)，国际期刊《Knowledge-Based Systems》副主编。
所获荣誉
辽宁省自然科学三等奖
青岛市政府科学技术进步一等奖
代表性论文
DBLP:https://dblp.org/pid/97/6241.html
Researchgate:https://www.researchgate.net/profile/Mingwen-Shao/publications
1.Mingwen Shao, Lingzhuang Meng*, Xiang Lv, Mengyao Wu, Xinyuan Chen, Qiao Zhang, Chang Liu, Yuanjian Qiao, Chao Dong,UniDef: Universal Defense Against Unauthorized Image Manipulation,CVPR 2026, accepted.
2.Yuanjian Qiao,Mingwen Shao*, Lingzhuang Meng, Yecong Wan, DecoupleGS: Physical-aware Gaussian Decoupling for High-Quality 3D Scene Lighting Enhancement,ICASSP 2026, accepted.
3.Mingwen Shao, Qiao Zhang*, Xinyuan Chen, Xiang Lv, Lingzhuang Meng, Chang Liu, Qinglin Zhan, Ling Jian, Wavelet-Driven 3D Anomaly Detection under Pose-Agnostic and Sparse-View,CVPR 2026, accepted.
4.Yecong Wan,Mingwen Shao*, Yuanshuo Cheng, Jun Shu, Shuigen Wang, Removing Multiple Hybrid Adverse Weather in Video via a Unified Model,IEEE Transactions on Circuits and Systems for Video Technology, accepted, DOI: 10.1109/TCSVT.2026.3665898.
5.Yecong Wan,Mingwen Shao*, Renlong Wu, Wangmeng Zuo, Color3D: Controllable and Consistent 3D Colorization with Personalized Colorizer,ICLR 2026, accepted.
6.Mingwen Shao, Chang Liua*, Xiang Lv, Lingzhuang Meng, Yecong Wan, Zhengyi Gong, FreeMD: Training-Free Multi-domain Text-to-Image Generation with Any Control,Neural Networks, 2026, accepted.
7.Lingzhuang Meng,Mingwen Shao*, Xiang Lv, Mengyao Wu, Yuanjian Qiao, Jie Zhang, Anti-Avatar: Protect against Unauthorized 3D Head Avatar Generation via Dual-Space Divergence,AAAI 2026, accepted.
8.Lingzhuang Meng,Mingwen Shao*, Yuanjian Qiao, Xiang Lv, DEGauss: Defending Against Malicious 3D Editing for Gaussian Splatting,NeurIPS 2025, accepted.
9.Xinyuan Chen,Mingwen Shao*, Yi Niu, Qiao Zhang, Federated semi-supervised learning for in-domain/Cross-domain Person Re-identification,Applied Soft Computing,2025, 184:113785.
10.Lingzhuang Meng,Mingwen Shao*, Yuanjian Qiao, Wenjie Liu, Xiang Lv, Gaussian Splitting Attack: Gaussian Splatting-based Multi-View 3D Adversarial Attack,Pattern Recognition, 2026, 172:112466.
11.Xiang Lv,Mingwen Shao*, Lingzhuang Meng, Yecong Wan, Xinyuan Chen, SUV: Suppressing Undesired Video Content via Semantic Modulation Based on Text Embeddings,ICCV 2025, pp. 18357-18366.
12.Jie Zhang,Mingwen Shao*, Lingzhuang Meng, Xiangyong Cao, Shuigen Wang, PromptSeg: Prompt for Universal Remote Sensing Semantic Segmentation,IEEE Transactions on Geoscience and Remote Sensing, 2025, 63: 5643518.
13.Qiao Zhang,Mingwen Shao*, Xinyuan Chen, Xiang Lv, Kai Xu, Wave-MambaAD: Wavelet-driven State Space Model for Multi-class Unsupervised Anomaly Detection,ICCV 2025, pp. 20868-20877.
14.Jie Zhang,Mingwen Shao*, MoE-based Mamba for Multi-scene Universal Remote Sensing Semantic Segmentation,IEEE International Conference on Multimedia & Expo 2025, accepted.
15.刘媛媛,邵明文*,张黎旭,邵浚.基于语义的小样本学习原型优化方法.模式识别与人工智能, 2025, 38(2): 132-142.
16.Wei Wei, Zixiong Li, Jing Yan,Mingwen Shao, Lin Li*, Indirect Alignment and Relationship Preservation for Domain Generalization,IJCAI2025, pp. 2054-2062. https://doi.org/10.24963/ijcai.2025/229.
17.Xiang Lv,Mingwen Shao*, Yecong Wan, Yue Ma, Yuanshuo Cheng, Lingzhuang Meng, BM-Edit: Background retention and motion consistency for zero-shot video editing,Knowledge-Based Systems, 2025, 324:113784.
18.Yuanshuo Cheng,Mingwen Shao*, Yecong Wan, Yuanjian Qiao, Wangmeng Zuo, Deyu Meng, Degradation-Guided cross-consistent deep unfolding network for video restoration under diverse weathers,Neural Networks, 2025, 107700.
19.Yan Wang,Mingwen Shao*, Chao Wang, Kai Xu & Xiaolin Lu, Interacthand: Robust 3D Hand Mesh Reconstruction via Interaction-Aware Segmentation and Refinement,The Visual Computer,2025, 41: 10635–10647.
20.Kai Shang,Mingwen Shao*, Chao Wang, Xiaodong Tan, Wavelet Mamba: Wavelet-based state space model for low light image enhancement,Displays, 2025, 90:103100.
21.Zhengyi Gong,Mingwen Shao*, Chang Liu, Xiang Lv, Huan Liu, FCAT-Diff: Flexible and Consistent Appearance Transfer Based on Training-free Diffusion Model,Computers & Graphics, 2025, 130:104247.
22.Yuanjian Qiao,Mingwen Shao*, Lingzhuang Meng, Huan Liu, Xiaodong Tan, and Wangmeng Zuo, Degradation-aware Prompt Learning for Real-world Blind Image Restoration,Applied Soft Computing, 2025, 177:113173.
23.Chang Liu,Mingwen Shao*, Zhengyi Gong, Xiang Lv, Lingzhuang Meng, MirrorDiff: Prompt Redescription for Zero-shot Grounded Text-to-Image Generation with Attention Modulation,Engineering Applications of Artificial Intelligence, 2025, 153: 110741.
24.Mingwen Shao,Xun Shao*, Lingzhuang Meng, Yuanyuan Liu, DFDW: Distribution-awareFilterandDynamicWeightforopen-mixed-domainTest-time adaptation,Image and Vision Computing, 2025, 158: 105521.
25.Mingwen Shao∗, Weihan Liu, Qiwang Li, Lingzhuang Meng, Yecong Wan, Controlling Vision-Language Model for Enhancing Image Restoration,Image and Vision Computing, 2025, 158: 105538.
26.Qiao Zhang,Mingwen Shao*, Xinyuan Chen, Pool-Mamba: Pooling State Space Model for Low-Light Image Enhancement,Neurocomputing, 2025, 635: 130005.
27.Mingwen Shao*, Xiaodong Tan*, Kai Shang, Tiyao Liu, Hybrid Model of State Space Model and Attention for Hyperspectral Image Denoising,IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025, 18: 9904-9918.
28.Yuanjian Qiao,Mingwen Shao*, Lingzhuang Meng, Kai Xu,RestorGS: Depth-aware Gaussian Splatting for Efficient 3D Scene Restoration,CVPR 2025, 11177-11186.
29.Yecong Wan,Mingwen Shao*, Yuanshuo Cheng, Wangmeng Zuo, S2Gaussian: Sparse-View Super-Resolution 3D Gaussian Splatting,CVPR 2025, 711-721.
30.Yecong Wan,Mingwen Shao*, Yuanshuo Cheng, Yuexian Liu, Zhiyuan Bao, Learning to Restore Arbitrary Hybrid Adverse Weather Conditions in One Go,Pattern Recognition, 2025, 164: 111504.
31.Yuanjian Qiao,Mingwen Shao*, Lingzhuang Meng, Wangmeng Zuo, Learning Physical-aware Diffusion Priors for Zero-shot Restoration of Scattering-affected Images,Pattern Recognition, 2025, 163: 111473.
32.Xiang Lv,Mingwen Shao*, Yecong Wan, Yuanjian Qiao, Changzhong Wang, Adaptive Prompt Guided Unified Image Restoration with Latent Diffusion Model,Engineering Applications of Artificial Intelligence, 2025, 146: 110267.
33.Mingwen Shao, Lingzhuang Meng*, Yuanjian Qiao, Wangmeng Zuo, Latent Code Augmentation Based on Stable Diffusion for Data-free Substitute Attacks,IEEE Transactions on Neural Networks and Learning Systems, 2025, 36(6): 10186-10200.
34.Mingwen Shao, Yuanjian Qiao*, Kai Zhang, Lingzhuang Meng, Frequency-aware Uncertainty Gaussian Splatting for DynamicScene Reconstruction,IEEE Transactions On Visualization and Computer Graphics,2025, 31(5): 3558-3568.
35.Mingwen Shao*, Sijie Chen , Fan Wang, Lixu Zhang, Adaptive Pseudo-Label Threshold for Source-free Domain Adaptation,Neural Computing and Applications, 2025, 37: 1875–1887.
36.Kai Xu,Mingwen Shao*, Yuanjian Qiao, Yan Wang, Physical-aware Neural Radiance Fields for Efficient Exposure Correction,AAAI 2025,39(9), 8906-8914.
37.Mingwen Shao*, Yuexian Liu , Yuanshuo Cheng, Yecong Wan, Adaptive Fuzzy Degradation Perception Based on CLIP Prior for All-in-one Image Restoration,IEEE Transactions on Fuzzy Systems, 2025, 33(4): 1219-1230.
38.Kai Shang,Mingwen Shao*, Chao Wang, Yuanjian Qiao, Yecong Wan, Training-free Prior Guided Diffusion Model for Zero-Reference Low-Light Image Enhancement,Neurocomputing, 2025, 617: 128974.
39.Huan Liu,Mingwen Shao*, Yecongu Wan, Yuexian Liu , Kai Shang, SeBIR: Semantic-Guided Burst Image Restoration,Neural Networks, 2024, 181:106834.
40.Yuanshuo Cheng,Mingwen Shao*, Yecong Wan, Chao Wang, RDM-IR: Task-adaptive deep unfolding network for All-In-One image restoration,Knowledge-Based Systems, 2024, 304(25):112543.
41.Huan Liu,Mingwen Shao*, Kai Shang, QiaoYuanjian, Shuigen Wang, When guided diffusion model meets zero-shot image super-resolution,Engineering Applications of Artificial Intelligence, 2024,138:109336.
42.Weihan Liu,Mingwen Shao*, Lingzhuang Meng, Yuanjian Qiao, Zhiyuan Bao, Prompt-Guided and Degradation Prior Supervised Transformer for Adverse Weather Image Restoration,Applied Intelligence, accepted.
43.Mingwen Shao, Yuanjian Qiao*, Kai Zhang, Lingzhuang Meng, Frequency-aware Uncertainty Gaussian Splatting for DynamicScene Reconstruction, Accept byIEEE VR 2025.
44.Yecongu Wan,Mingwen Shao*, Yuanshuo Cheng, Wangmeng Zuo, Image All-In-One Adverse Weather Removal via Dynamic Model Weights Generation,Knowledge-Based Systems, 2024:112324.
45.Jie Zhang,Mingwen Shao*,Yecongu Wan, Lingzhuang Meng , Xiangyong Cao, Boundary-aware Spatial and Frequency Dual-domain Transformer for Remote Sensing Urban Images Segmentation,IEEE Transactions on Geoscience and Remote Sensing, 2024, 62:5637718.
46.Lingzhuang Meng,Mingwen Shao*,Yuanjian Qiao, Wenjie Liu, Inter-Class Topology Alignment for Efficient Black-Box Substitute Attacks,ECCV2024, 15092: 261–277.
47.Xiaodong Tan,Mingwen Shao*, Yuanjian Qiao, Tiyao Liu, Xiangyong Cao, Low-Rank Prompt-Guided Transformer for Hyperspectral Image Denoising,IEEE Transactions on Geoscience and Remote Sensing, 2024, 62:5520815.
48.Mingwen Shao*, Xinkai Zhuang, Lixu Zhang, and Wangmeng Zuo, Pseudo initialization based Few-Shot Class Incremental Learning,Computer Vision and Image Understanding, 2024, 247: 104067.
49.Qiwang Li,Mingwen Shao*, Liu Fukang, Yuanjian Qiao, Zhiyong Hu, Contrastive Local Constraint for Irregular Image Reconstruction and Editability,The Visual Computer, 2025, 41: 2047–2060.
50.Haonan Wang,Mingwen Shao*, Xiaodong Tan, Lixu Zhang, Modal-Aware Prompt tuning with Deep Adaptive Feature Enhancement,Computers and Electrical Engineering, 2024, 109270.
51.Lingzhuang Meng,Mingwen Shao*, Fan Wang, Yuanjian Qiao, Zhaofei Xu, Advancing Few-Shot Black-Box Attack with Alternating Training,IEEE Transactions on Reliability, 2024, 73(3): 1544-1558.
52.Mingwen Shao, Jiandong Kuang, Chao Wang*, Wangmeng Zuo, Guoyin Wang, Multi-Dimensional Dynamic Pruning: Exploring Spatial and Channel Fuzzy Sparsity,IEEE Transactions on Fuzzy Systems, 2024, 32 (9):4890-4901.
53.Kai Shang,Mingwen Shao*, Chao Wang, Yuanshuo Cheng, Shuigen Wang, Multi-Domain Multi-Scale Diffusion Model for Low-Light Image Enhancement,AAAI2024,38(5): 4722-4730.https://doi.org/10.1609/aaai.v38i5.28273.
54.Mingwen Shao*, Zhiyuan Bao, Weihan Liu, Yuanjian Qiao, Yecongu Wan,Frequency Domain Enhanced Transformer for Single Image Deraining,The Visual Computer, 2024,40: 6723–6738.
55.Le Li, Hudan Pan, Yong Liang,Mingwen Shao, Shengli Xie, Shanghui Lu, PMFN-SSL: Self-supervised learning-based progressive multimodal fusion network for cancer diagnosis and prognosis,Knowledge-Based Systems, 2024, 111502.
56.Leiquan Wang, Ye Fang, Zhongwei Li, Chunlei Wu, Mingming Xu,Mingwen Shao, Summator–Subtractor Network: Modeling Spatial and Channel Differences for Change Detection,IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 5604212.
57.Fan Wang,Mingwen Shao*, Dual Stage Black-box Adversarial Attack against Vision Transformer,International Journal of Machine Learning and Cybernetics, 2024, 15: 3367–3378.
58.Mingwen Shao, Zilu Peng *,Distance metric-based learning for long-tail object detection,Image and Vision Computing, 2024, 142: 104888.
59.Leiquan Wang, Yunfeng Wang, Zhongwei Li, Chunlei Wu, Mingming Xu,Mingwen Shao, Eliminating Spatial Correlations of Anomaly: Corner-Visible Network for Unsupervised Hyperspectral Anomaly Detection.IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 1-14.
60.Kai Shang,Mingwen Shao *, Yuanjian Qiao, Huan Liu, Frequency-aware Network for Low-light Image Enhancement,Computers & Graphics, 2024, 118: 210-219.
61.Mingwen Shao, Jianxin Yang, Lingzhuang Meng*, Zhiyong Hu, Frequency Attacks Based on Invertible Neural Networks,IEEE Transactions on Artificial Intelligence, 2025, 6(2): 292-300.
62.Zhiyong Hu,Mingwen Shao*, Mi Jusheng, Weizhi Wu, Mining Positive and Negative Rules via One-sided Fuzzy Three-way Concept Lattices,Fuzzy Sets and Systems, 2024: 108842.
63.Jie Zhang,Mingwen Shao*, Yuanjian Qiao, Xiangyong Cao, Enhancing Efficient Global Understanding Network with CSWin Transformer for Urban Scene Images Segmentation,IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 16: 10230- 10245.
64.Zhiyuan Bao,Mingwen Shao*, Yecongu Wan, Yuanjian Qiao, Recursive Residual Fourier Transformation for Single Image Deraining,International Journal of Machine Learning and Cybernetics, 2024, 15: 1743–1754.
65.Sijie Chen ,Mingwen Shao*, Lixu Zhang, Zhiyuan Bao, Two-stage structural information enhancement for source-free domain adaptation,Machine Vision and Applications, 2023, 34:121.
66.Mingwen Shao*, Fukang Liu, Zihao Guo, Yuanjian Qiao, Hairstyle transfer via manipulating decoupled latent codes of StyleGAN2,Computers & Graphics, 2023，16: 363–372.
67.Yuanjian Qiao,Mingwen Shao*, Leiquan Wang, Wangmeng Zuo, Learning Depth-Density Priors for Fourier-based Unpaired Image Restoration,IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(4): 2604-2618.
68.Zhiyong Hu,Mingwen Shao*, Weizhi Wu, Leijun Li, Knowledge acquisition of multi-granularity ordered information systems,Applied Soft Computing, 2023, 146：11067.
69.Leiquan Wang, Yunfeng Wang, Zhongwei Li, Chunlei Wu, Mingming Xu,Mingwen Shao, Eliminating Spatial Correlations of Anomaly: Corner-Visible Network for Unsupervised Hyperspectral Anomaly Detection.IEEE Transactions on Geoscience and Remote Sensing, 2023: 61: 1-14.
70.Huan Liu,Mingwen Shao*, Yuanjian Qiao, Yecongu Wan, Deyu Meng, Unpaired Image Super-resolution Using a Lightweight Invertible Network,Pattern Recognition, 2023，144: 109822.
71.Mingwen Shao, Huan Liu*, Jianxin Yang, Feilong Cao, An Adaptive One-stage Generative Adversarial Network for Unpaired Image Super-resolution, 2023,Neural Computing and Applications, 2023,https://doi.org/10.1007/s00521-023-08888-0.
72.Yecongu Wan,Mingwen Shao*,Yuanshuo Cheng, Deyu Meng, Wangmeng Zuo, Progressive Convolutional Transformer for Image Restoration,Engineering Applications of Artificial Intelligence, 2023, 125: 106755.
73.Yuanshuo Cheng,Mingwen Shao*, Yecongu Wan, Yuexian Liu , Huan Liu, Deyu Meng, Deep Fuzzy Clustering Transformer: Learning the General Property of Corruptions for Degradation-Agnostic Multi-Task Image Restoration,IEEE Transactions on Fuzzy Systems, 2023, 31(12): 4501-4515.
74.Fukang Liu,Mingwen Shao*, Fan Wang, Lixu Zhang, High-fidelity GAN inversion by frequency domain guidance,Computers & Graphics, 2023, 114: 286-295.
75.Mingwen Shao*, Shunhang Li *, Zilu Peng, Yuantao Sun, Adversarial-based Ensemble Feature Knowledge Distillation,Neural Process Letter, 2023, https://doi.org/10.1007/s11063-023-11328-8.
76.Junsan Zhang, Yeqi Feng, Chao Wang,Mingwen Shao, Yujie Jiang, Jian Wang, Multi-domain clustering pruning: Exploring space and frequency similarity based on GAN,Neurocomputing, 2023, 542:126279.
77.Yuanjian Qiao,Mingwen Shao*, Huan Liu, Kai Shang, Mutual channel prior guided dual-domain interaction network for single image raindrop removal,Computers & Graphics, 2023, 112:132–142.
78.Mingwen Shao, Yuantao Sun *, Zeting Liu, Zilu Peng, Shunhang Li, Cunhe Li, GPNet: Key Point Generation Auxiliary Network for Object Detection,Advanced Theory and Simulations, 2023, 4:2200894.https://doi.org/10.1002/adts.202200894.
79.Zihao Guo,Mingwen Shao*, Shunhang Li, Image-to-image translation using an offset-based multi-scale codes GAN encoder,The Visual Computer, 2023, https://doi.org/10.1007/s00371-023-02810-4.
80.Mingwen Shao, Zhiyong Hu*, Weizhi Wu, Huan Liu, Graph Neural Networks Induced by Concept Lattices for Classification,International Journal of Approximate Reasoning, 2023, 154:262-276.
81.Mingwen Shao, Yuanjian Qiao*, Deyu Meng, Wangmeng Zuo, Uncertainty-Guided Hierarchical Frequency Domain Transformer for Image,Knowledge-Based Systems, 2023, 262:110306.
82.Jianxin Yang,Mingwen Shao*, Huan Liu, Xinkai Zhuang, Generating Adversarial Samples by Manipulating Image Features with Auto-encoder,International Journal of Machine Learning and Cybernetics, 2023, 14:2499–2509.
83.Changzhong Wang, Xiang Lv,Mingwen Shao, Yuhua Qian, Yang Zhang, A novel fuzzy hierarchical fusion attention convolution neural network for medical image super-resolution reconstruction,Information Sciences, 2023, 622: 424-436.
84.Mingwen Shao*, Chao Wang, Deyu Meng, Wangmeng Zuo, Efficient Pyramidal GAN for Versatile Missing Data Reconstruction in Remote Sensing Images,IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 5626014.
85.Mingwen Shao*, Wei Zhang, Yunhao Li, Bingbing Fan, Branch Aware Assignment for Object Detection,Visual Computer, 2023, 39, 5719–5728https://doi. org/10.1007/s00371-022-02691-z.
86.Huan Liu,Mingwen Shao*, Chao Wang, Feilong Cao, Image Super-Resolution Using a Simple Transformer without Pre-training,Neural Processing Letters, 2023, 55:1479-1497. https://doi.org/10.1007/s11063-022-10948-w. (SCI 3区)
87.Yecongu Wan, Yuanshuo Cheng,Mingwen Shao*, Gonzàlezb Jordi, Image Rain Removal and Illumination Enhancement Done in One Go,Knowledge-Based Systems, 2022, 252: 109244.
88.Chao Wang,Mingwen Shao*, Deyu Meng, Wangmeng Zuo, Dual-Pyramidal Image Inpainting with Dynamic Normalization,IEEE Transactions on Circuits and Systems for Video Technology, 2022, 32(9): 5975.
89.Yecongu Wan, Yuanshuo Cheng,Mingwen Shao*, MSLANet: Multi-scale Long Attention Network for Skin Lesion Classication,Applied Intelligence, 2023:53:12580–12598.
90.Bingbing Fan,Mingwen Shao*, Yunhao Li, Cunhe Li, Global Contextual Attention for Pure Regression Object Detection,International Journal of Machine Learning and Cybernetics, 2022, 13: 2189–2197.
91.Jiandong KuangMingwen Shao*, Ran Wang, Wangmeng Zuo, Ding Weiping, Network Pruning via Probing the Importance of Filters,International Journal of Machine Learning and Cybernetics, 2022,13: 2403–2414.
92.Mingwen Shao*, Shuqi Liu,Ran Wang, Gaozhi Zhang, An Adversarial sample defense method based on multi-scale GAN,International Journal of Machine Learning and Cybernetics, 2021, 12:3437–3447.
93.Mingwen Shao,Youcai Zhang *, Huan Liu, Chao Wang, Le Li, Xun Shao, DMDIT: Diverse Multi-Domain Image-to-Image Translation,Knowledge-Based Systems, 2021, 229(2):107311.
94.Mingwen Shao*, Junhui Dai,Ran Wang, Wangmeng Zuo, CSHE: Network Pruning by using Cluster Similarity and Matrix Eigenvalues,International Journal of Machine Learning and Cybernetics, 2022, 13: 371–382.
95.Wei Gao,Mingwen Shao*, Jun Shu, Xinkai Zhuang, Meta-BN Net for Few-Shot Learning,Frontiers of Computer Science, 2023, 17: 171302.
96.Mingwen Shao*, Chao Wang, Tianjun Wu, Deyu Meng, Jiancheng Luo, Context-based Multi-scale Unified Network for Missing Data Reconstruction in Remote Sensing images,IEEE Geoscience and Remote Sensing Letters, 2022, 19: 8001205.
97.Zhiyong Hu,Mingwen Shao*, Huan Liu, Jusheng Mi, Cognitive Computing and Rule Extraction in Generalized One-sided Formal Contexts,Cognitive Computing,2022,14: 2087–2107.
98.Mingwen Shao*,Le Li *, Deyu Meng, Wangmeng Zuo, Uncertainty Guided Multi-scale Attention Network for Raindrop Removal from A Single Image, IEEETransactions on Image Processing, 2021, 30: 4828-4839.
99.Mingwen Shao*, Youcai Zhang, Yuan Fan, Wangmeng Zuo, Deyu Meng, IIT-GAT: Instance-level Image Transformation via Unsupervised Generative Attention Networks with Disentangled Representations,Knowledge-Based Systems, 2021, 225, 107122.
100.Mingwen Shao*, Gaozhi Zhang, Wangmeng Zuo, Deyu Meng, Target Attack on Biomedical Image Segmentation Model based on Multi-scale Gradients, Information Sciences, 2021, 554: 33–46.
101.Chao Wang, Haozhen Shen, Fan Fan,Mingwen Shao,Chuansheng Yang, Jiancheng Luo, EAA-Net: A novel edge assisted attention network for single image dehazing,Knowledge-Based Systems, 2021, 228, 107279.
102.张高志，刘新平，邵明文*，基于GAN的对抗样本生成与白盒目标攻击，模式识别与人工智能，2020，33(9): 1-9.
103.Mingwen Shao*, Le Li, Hong Wang, Deyu Meng, Selective Generative Adversarial Network for Raindrop Removal from A Single Image,Neurocomputing,2021, 426: 265-273.
104.Changzhong Wang, Yan Wang,Mingwen Shao, Yuhua Qian, Degangu Chen, Fuzzy rough attribute reduction for categorical data,IEEE Transactions on Fuzzy Systems, 2020, 28(5): 818-829.
105.Mingwen Shao*, Wentao Zhang, Wangmeng Zuo, Deyu Meng, Multi-scale generative adversarial inpainting network based on cross-layer attention transfer mechanism,Knowledge-Based Systems, 2020,196: 105778.
106.Yuan Fan,Mingwen Shao*, Wangmeng Zuo, Qingyun Li, Unsupervised image to image translation using intra domain reconstruction loss,International Journal of Machine Learning and Cybernetics, 2020, 11: 2077–2088.
107.Mingwen Shao*, Mengmeng Lv, Kewen Li, Changzhong Wang, The Construction of Attribute (Object)-oriented Multi-granularity Concept Lattices，International Journal of Machine Learning and Cybernetics, 2020, 11: 1017–1032.
108.Mingwen Shao*, Weizhi Wu, Xizhao Wang, Changzhong Wang, Knowledge reduction methods of covering approximate spaces based on concept lattice,Knowledge-Based Systems，2020, 191(5):1-9.
109.Wei Yiwei, Leiquan Wang, Haiwen Cao,Mingwen Shao, Chunlei Wu *, Multi-Attention Generative Adversarial Network for image captionin,Neurocomputing, 2020, 387: 91–99.
110.Changzhong Wang, Yang Huang,Mingwen Shao, Fan Xiaodong, Fuzzy rough set-based attribute reduction using distance measures,Knowledge-Based Systems, 2019, 164: 205-212.
111.Changzhong Wang, Yang Huang,Mingwen Shao, Degangu Chen, Uncertainty measures for general fuzzy relations,Fuzzy Sets and System, 2019, 360(1):82-96. (SCI 1区)
112.Weizhi Wu,Mingwen Shao, Xia Wang, Using single axioms to characterize (S, T) intuitionistic fuzzy rough approximation operators,International Journal of Machine Learning and Cybernetics, 2019,10:27-42.
113.Mingwen Shao, Li Guo, Changzhong Wang, Connections between two- universe rough sets and formal concepts,International Journal of Machine Learning and Cybernetics, 2018, 9(11): 1869-1877.
114.Changzhong Wang, Qiang He,Mingwen Shao, Yangyang Xu, Qinghua Hu, A unified information measure for general binary relations,Knowledge-Based Systems, 2017, 135: 18-28.
115.Faming Gong,Mingwen Shao*, Guofang Qiu, Concept Granular Computing Systems and Their Approximation Operators,International Journal of Machine Learning and Cybernetics, 2017, 8(2): 627–640.
116.Kewen Li,Mingwen Shao*, Weizhi Wu, A data reduction method in formal fuzzy contexts,International Journal of Machine Learning and Cybernetics, 8(4) (2017) 1145–1155.
117.Mingwen Shao*, Kewen Li, Attribute reduction in generalized one-sided formal contexts,Information Sciences, 2017, 378(1): 317-327.
118.Changzhong Wang,Mingwen Shao, Qiang He, Yuhua Qian, Yali Qi, Feature subset selection based on fuzzy neighborhood rough sets,Knowledge-Based Systems, 2016, 111: 173–179.
119.Changzhong Wang, Yali Qi,Mingwen Shao, Qinghua Hu, Degangu Chen, Yuhua Qian, Lin Yaojin, A Fitting Model for Feature Selection with Fuzzy Rough Sets,IEEE Transactions On Fuzzy Systems, 2017, 25(4):741-753.
120.Xin Li,Mingwen Shao*, Xingmin Zhao, Constructing lattice based on irreducible concepts,International Journal of Machine Learning and Cybernetics, 2017, 8(1): 109-122.
121.Mingwen Shao*, Yee Leung, Xizhao Wang, Weizhi Wu, Granular Reducts of Formal Fuzzy Contexts,Knowledge-Based Systems, 2016, 114(15): 156-166.
122.Weizhi Wu, Xu Youhong,Mingwen Shao, Guoyin Wang, Axiomatic characterizations of (S,T)-fuzzy rough approximation operators,Information Sciences, 2016, 334-335: 17–43.
123.Changzhong Wang,Mingwen Shao*, Baiqing Sun, Qinghua Hu. An improved attribute reduction scheme with covering based rough sets,Applied Soft Computing, 2015, 26: 235-243.
124.Mingwen Shao*, Hongzhi Yang, Weizhi Wu. Knowledge Reduction in Formal Fuzzy Contexts,Knowledge-Based Systems, 2015,73: 265-275.
125.Mingwen Shao*, Yee Leung, Weizhi Wu, Rule Acquisition and Complexity Reduction in Formal Decision Contexts,International Journal of Approximate Reasoning, 2014, 55(1): 259-274.
126.Mingwen Shao*, Yee Leung, Relations between granular reduct and dominance reduct in formal contexts,Knowledge-Based Systems, 2014, 65: 1-11.
127.Mingwen Shao*, hongzhi Yang. Two kinds of multi-level formal concepts and its application for sets approximations,International Journal of Machine Learning and Cybernetics, 2013, 4(6): 621-630.
128.Mingwen Shao*, Min Liu, Li Guo. Vector-based Attribute Reduction Method of The Concept Lattices,Fundamenta Informaticae, 2013, 126(4): 397-414.
129.Hongzhi Yang, Yee Leung,Mingwen Shao*. Rule Acquisition and Attribute Reduction in Real Decision Formal Contexts.Soft Computing, 2011, 11:1115-1128.
130.Mingwen Shao*, Min Liu, Zhang Wenwiu. Set approximations in fuzzy formal concept analysis.Fuzzy Set and Systems, 2007, 158: 2627-2640.
131.Min Liu,Mingwen Shao*, Wenxiu Zhang. Reduction method for concept lattices based on rough set theory and its application.Computer & Mathematics with Applications, 2007, 53: 1390-1410.
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