连续入选全球“TOP 2%顶尖科学家”和“终身科学影响力”榜单。
近年发表的主要学术论文 (Selected Journal Papers)：
DBLP:https://dblp.org/pid/97/6241.html
Researchgate:https://www.researchgate.net/profile/Mingwen-Shao/publications
1.Xiang Lv,Mingwen Shao*, Lingzhuang Meng, Chang Liu, Yecong Wan, Xinyuan Chen, SUV: Suppressing Undesired Video Content via Semantic Modulation Based on Text Embeddings,ICCV 2025, accepted. (CCF A)
2.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, accepted. (CCF A)
3.Jie Zhang,Mingwen Shao*, MoE-based Mamba for Multi-scene Universal Remote Sensing Semantic Segmentation,IEEE International Conference on Multimedia & Expo 2025, accepted. (CCF B)
4.Wei Wei, Zixiong Li, Jing Yan,Mingwen Shao, Lin Li*, Indirect Alignment and Relationship Preservation for Domain Generalization,IJCAI2025, accepted. (CCF A)
5.Peize Hu,Mingwen Shao*, Lingzhuang Meng, Yuanjian Qiao, MLS: Video Forgery Detection Based on Multi-Local Feature and Spatio-Temporal Fusion,Journal of Electronic Imaging, accepted. (SCI 4区)
6.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. (SCI 1区)
7.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. (SCI 1区)
8. Kai Shang,Mingwen Shao*, Chao Wang, Xiaodong Tan, Wavelet Mamba: Wavelet-based state space model for low light image enhancement,Displays, 2025, 90:103100. (SCI 2区)
9.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. (SCI 3区)
10.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, accepted. (SCI 1区)
11.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, accepted. (SCI 1区)
12.Mingwen Shao,Xun Shao*, Lingzhuang Meng, Yuanyuan Liu, DFDW: Distribution-awareFilterandDynamicWeightforopen-mixed-domainTest-time adaptation,Image and Vision Computing, 2025, accepted. (SCI 3区)
13.Mingwen Shao∗, Weihan Liu, Qiwang Li, Lingzhuang Meng, Yecong Wan, Controlling Vision-Language Model for Enhancing Image Restoration,Image and Vision Computing, 2025, accepted. (SCI 3区)
14.Qiao Zhang,Mingwen Shao*, Xinyuan Chen, Pool-Mamba: Pooling State Space Model for Low-Light Image Enhancement,Neurocomputing, 2025, accepted. (SCI 2区)
15.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, https://doi.org/10.1109/JSTARS.2025.3556024, accepted. (SCI 2区)
16.Yuanjian Qiao,Mingwen Shao*, Lingzhuang Meng, Kai Xu, RestorGS: Depth-aware Gaussian Splatting for Efficient 3D Scene Restoration,CVPR 2025, accepted.（CCF A）
17.Yecong Wan,Mingwen Shao*, Yuanshuo Cheng, Wangmeng Zuo, S2Gaussian: Sparse-View Super-Resolution 3D Gaussian Splatting,CVPR 2025, accepted.（CCF A）
18.Yecong Wan,Mingwen Shao*, Yuanshuo Cheng, Yuexian Liu, Zhiyuan Bao, Learning to Restore Arbitrary Hybrid Adverse Weather Conditions in One Go,Pattern Recognition, 2025, accepted. (SCI 1区)
19.Yuanjian Qiao,Mingwen Shao*, Lingzhuang Meng, Wangmeng Zuo, Learning Physical-aware Diffusion Priors for Zero-shot Restoration of Scattering-affected Images,Pattern Recognition, 2025, accepted. (SCI 1区)
20.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, accepted. (SCI 1区)
21.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, accepted. (SCI 1区)
22.Mingwen Shao, Yuanjian Qiao*, Kai Zhang, Lingzhuang Meng, Frequency-aware Uncertainty Gaussian Splatting for Dynamic Scene Reconstruction, Accept byIEEE VR 2025(CCF A类会议),推荐到IEEE Transactions On Visualization and Computer Graphics. (CCF A,SCI 1区)
23.Mingwen Shao*, Sijie Chen , Fan Wang, Lixu Zhang, Adaptive Pseudo-Label Threshold for Source-free Domain Adaptation,Neural Computing and Applications, 2025, accepted. (SCI 3区)
24.Kai Xu,Mingwen Shao*, Yuanjian Qiao, Yan Wang, Physical-aware Neural Radiance Fields for Efficient Exposure Correction,AAAI 2025, accepted. (CCF A类会议）
25.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, 2024, accepted. (SCI 1区)
26.Kai Shang,Mingwen Shao*, Chao Wang, Yuanjian Qiao, Yecong Wan, Training-free Prior Guided Diffusion Model for Zero-Reference Low-Light Image Enhancement,Neurocomputing, 2024, accepted. (SCI 2区)
27.Huan Liu,Mingwen Shao*, Yecongu Wan, Yuexian Liu , Kai Shang, SeBIR: Semantic-Guided Burst Image Restoration,Neural Networks, 2024, 181:106834.https://doi.org/10.1016/j.neunet.2024.106834. (SCI 1区)
28.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. (SCI 1区)
29.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. (SCI 2区)
30.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. (SCI 2区)
31.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. (SCI 1区)
32.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.(SCI 1区)
33.Xun Shao,Mingwen Shao*, Sijie Chen , Yuanyuan Liu, USDAP: Universal source-free domain adaptation based on prompt learning,Journal of Electronic Imaging, https://doi.org/10.1117/1.JEI.33.5.053015.(SCI 4区)
34.Mingwen Shao*, Minggui Han, Lingzhuang Meng, Fukang Liu, Background-focused contrastive learning for unpaired image-to-image translation,Journal of Electronic Imaging, https://doi.org/10.1117/1.JEI.33.4.043023.(SCI 4区)
35.Lingzhuang Meng,Mingwen Shao*,Yuanjian Qiao, Wenjie Liu, Inter-Class Topology Alignment for Efficient Black-Box Substitute Attacks,ECCV2024, accepted. (计算机视觉领域顶会)
36.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. (SCI 1区)
37.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. (SCI 3区)
38.Qiwang Li,Mingwen Shao*, Liu Fukang, Yuanjian Qiao, Zhiyong Hu, Contrastive Local Constraint for Irregular Image Reconstruction and Editability,The Visual Computer, https://DOI.10.1007/s00371-024-03523-y.(SCI 3区)
39.Haonan Wang,Mingwen Shao*, Xiaodong Tan, Lixu Zhang, Modal-Aware Prompt tuning with Deep Adaptive Feature Enhancement,Computers and Electrical Engineering, 2024, 109270.(SCI 3区)
40.Wenjie Liu,Mingwen Shao*, Lingzhuang Meng, Yuanjian Qiao, Zhiyong Hu, Deceptive deraining attack: a restorative adversarial attack by rain removal,Journal of Electronic Imaging, 2024, https://doi.org/10.1117/1.JEI.33.2.023047.(SCI 4区)
41.Yuexian Liu ,Mingwen Shao*, Yuanshuo Cheng, Yecongu Wan, Minggui Han, Cross-domain attention-guided domain adaptive method for image real rain removal,Multimedia Tools and Applications, 2024,https://DOI.10.1007/s11042-024-19006-0.(SCI 3区)
42.Lingzhuang Meng,Mingwen Shao*, Fan Wang, Yuanjian Qiao, Zhaofei Xu, Advancing Few-Shot Black-Box Attack with Alternating Training,IEEE Transactions on Reliability, 2024, https://DOI.10.1109/TR.2024.3369865.(SCI 2区)
43.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.https://doi.org/10.1109/TFUZZ.2024.3363220. (SCI 1区)
44.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. (CCF A类会议）
45.Mingwen Shao*, Zhiyuan Bao, Weihan Liu, Yuanjian Qiao, Yecongu Wan, Frequency Domain Enhanced Transformer for Single Image Deraining,The Visual Computer, 2024, https://doi.org/10.1007/s00371-023-03252-8. (SCI 3区)
46.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.(SCI 1区)
47.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. (SCI 1区)
48.Fan Wang,Mingwen Shao*, Dual Stage Black-box Adversarial Attack against Vision Transformer,International Journal of Machine Learning and Cybernetics, 2024, https://doi. org/10.1007/s13042-024-02097-4.(SCI 3区)
49.Minggui Han,Mingwen Shao*, Lingzhuang Meng, Yuexian Liu , and Yuanjian Qiao, Multilevel contrast strategy for unpaired image-to-image translation,Journal of Electronic Imaging, 2024,32(6): 063030.(SCI 4区)
50.Mingwen Shao, Zilu Peng *, Distance metric-based learning for long-tail object detection,Image and Vision Computing, 2023,https://doi.org/10.1016/j.imavis. 2023.104888. (SCI 3区)
51.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. (SCI 1区)
52.Kai Shang,Mingwen Shao *, Yuanjian Qiao, Huan Liu, Frequency-aware Network for Low-light Image Enhancement,Computers & Graphics, 2023,https://doi. org/10.1016/j.cag.2023.12.014.(SCI 3区)
53.Mingwen Shao, Jianxin Yang, Lingzhuang Meng*, Zhiyong Hu, Frequency Attacks Based on Invertible Neural Networks,IEEE Transactions on Artificial Intelligence, 2023, https://doi.org/10.1109/TAI.2023.3349238.
54.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.https://doi.org/10.1016/j.fss.2023.108842.(SCI 1区)
55.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. (SCI 2区)
56.Zhiyuan Bao,Mingwen Shao*, Yecongu Wan, Yuanjian Qiao, Recursive Residual Fourier Transformation for Single Image Deraining,International Journal of Machine Learning and Cybernetics, 2023, https://doi.org/10.1007/s13042-023-01994-4.(SCI 3区)
57.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. (SCI 4区)
58.Lixu Zhang,Mingwen Shao*, Sijie Chen , Fukang Liu, Contrastive knowledge-augmented self-distillation approach for Few-Shot Learning,Journal of Electronic Imaging, 2023,32(5): 053037.(SCI 4区)
59.Mingwen Shao*, Fukang Liu, Zihao Guo, Yuanjian Qiao, Hairstyle transfer via manipulating decoupled latent codes of StyleGAN2,Computers & Graphics, 2023，16: 363–372.(SCI 3区)
60.Le Li, Yong Liang,Mingwen Shao, Shanghui Lu, Shuilin liao, Ouyang Dong, Self-supervised learning-based Multi-Scale feature Fusion Network for survival analysis from whole slide images.Comput. Biol. Medicine, 2023, 153: 106482.(SCI 2区)
61.Yuanshuo Cheng,Mingwen Shao*, Yecongu Wan, Mutually Guided Learning of Global Semantics and Local Representations for Image Restoration,Multimedia Tools and Applications, 2023, https://doi.org/10.1007/s11042-023-16724-9. (SCI 3区)
62.Yecongu Wan,Mingwen Shao*, Yuanshuo Cheng, Weiping Ding，Fuzzy-based Cross-Image Pixel Contrastive Learning for Compact Medical Image Segmentation,Multimedia Tools and Applications, 2023, https://doi.org/10.1007/s11042-023-16611-3. (SCI 3区)
63.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, 2023,https://doi.org/10.1109/TCSVT.2023.3305996. (SCI 1区)
64.Zhiyong Hu,Mingwen Shao*, Weizhi Wu, Leijun Li, Knowledge acquisition of multi-granularity ordered information systems,Applied Soft Computing, 2023, https://doi.org/10.1016/j.asoc.2023.110674. (SCI 1区)
65.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.(SCI 1区)
66.Huan Liu,Mingwen Shao*, Yuanjian Qiao, Yecongu Wan, Deyu Meng, Unpaired Image Super-resolution Using a Lightweight Invertible Network,Pattern Recognition, 2023，144: 109822. (SCI 1区)
67.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. (SCI 2区)
68.Yecongu Wan,Mingwen Shao*,Yuanshuo Cheng, Deyu Meng, Wangmeng Zuo, Progressive Convolutional Transformer for Image Restoration,Engineering Applications of Artificial Intelligence, 2023, 125: 106755. (SCI 2区)
69.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.(SCI 1区)
70.Fukang Liu,Mingwen Shao*, Fan Wang, Lixu Zhang, High-fidelity GAN inversion by frequency domain guidance,Computers & Graphics, 2023, 114: 286-295. (SCI 3区)
71.Yecongu Wan,Mingwen Shao*, Zhiyuan Bao, Yuanshuo Cheng, Global-local Transformer for Single Image Rain Removal,Pattern Analysis and Applications, 2023, DOI: 10.1007/s10044-023-01184-6. (SCI 4区)
72.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.(SCI 3区)
73.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. (SCI 2区)
74.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. (SCI3区)
75.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. (SCI3区)
76.Shunhang Li,Mingwen Shao*, Zihao Guo, Xinkai Zhuang, Improving knowledge distillation via pseudo-multi-teacher network,Machine Vision and Applications, 2023, 34:33. https://doi.org/10.1007/s00138-023-01383-5. (SCI4区)
77.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. (SCI3区)
78.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. (SCI 2区)
79.Mingwen Shao, Yuanjian Qiao*, Deyu Meng, Wangmeng Zuo, Uncertainty-Guided Hierarchical Frequency Domain Transformer for Image,Knowledge-Based Systems, 2023, 262:110306. (SCI 1区)
80.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. (SCI 3区)
81. 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.(SCI 1区)
82.Xinkai Zhuang,Mingwen Shao*, Wei Gao, and Jianxin Yang. An adaptive fine-tuning strategy for few-shot learning,Journal of Electronic Imaging, 2022,http://dx.doi.org/10.1117/1.JEI.31.6.063010.(SCI 4区)
83.Zeting Liu,Mingwen Shao*, Yuantao Sun, Zilu Peng, Multi-task feature-aligned head in one-stage object detection,Signal, Image and Video Processing, 2023, 17: 1345–1353. (SCI 4区)
84.Baichen Liu, Zhi Han, Xi’ai Chen,Mingwen Shao, Huidi Jia, Yanmei Wang, Yandong Tang, A novel compact design of convolutional layers with spatial transformation towards lower-rank representation for image classification,Knowledge-Based Systems, 2022, 255: 109723. (SCI 1区)
85.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.(SCI 1区)
86.Mingwen Shao*, Wei Zhang, Yunhao Li, Bingbing Fan, Branch Aware Assignment for Object Detection,Visual Computer, 2023, 39, 5719–5728 https://doi. org/10.1007/s00371-022-02691-z. (SCI 3区)
87.Zilu Peng,Mingwen Shao*, Yuantao Sun, Cunhe Li, IDLA: Instance-based Dynamic Label Assignment for Object Detection,Journal of Electronic Imaging, 2022, 31(4): 043009. (SCI 4区)
88.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)
89.Yecongu Wan, Yuanshuo Cheng,Mingwen Shao*, Gonzàlezb Jordi, Image Rain Removal and Illumination Enhancement Done in One Go,Knowledge-Based Systems, 2022, 252: 109244. (SCI 1区)
90.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. (SCI 1区)
91.Yecongu Wan, Yuanshuo Cheng,Mingwen Shao*, MSLANet: Multi-scale Long Attention Network for Skin Lesion Classication,Applied Intelligence, 2023:53:12580–12598. (SCI 2区)
92.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. (SCI 2区)
93.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. (SCI 2区)
94.Mingwen Shao, Wei Zhang *, Yunhao Li, Bingbing Fan, Enhanced Feature Pyramidal Network for Object Detection,Journal of Electronic Imaging, 2022, 31(1): 013030. (SCI 4区)
95.Chen Guo, Yaojin Lin, Shengyu Chen, Zhichun Zeng,Mingwen Shao, Shaozi Li, From the whole to detail: Progressively sampling discriminative parts for fine-grained recognition,Knowledge-Based Systems, 2022,235: 107651. (SCI 1区)
96.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. (SCI 2区)
97.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. (SCI 1区)
98.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. (SCI 2区)
99.Wei Gao,Mingwen Shao*, Jun Shu, Xinkai Zhuang, Meta-BN Net for Few-Shot Learning,Frontiers of Computer Science, 2023, 17: 171302. (SCI 2区)
100.Yunhao Li,Mingwen Shao*, Bingbing Fan, Wei Zhang, Multi-scale Global Context Feature Pyramid Network for Object Detector,Signal, Image and Video Processing, 2022, 16: 705-713. (SCI 3区)
101.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. (SCI 2区)
102.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. (SCI 2区)
103.Chao Wang,Mingwen Shao*, Wentao Zhang, and Youcai Zhang, A Context-Based Multi-Scale Discriminant Model for Natural Image Inpainting,AATCC Journal of Research, 2021, 1:1-14. DOI: 10.14504/ajr.8.S1.1. (SCI 4区)
104.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. (SCI 1区)
105.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. (SCI 1区)
106.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. (SCI 1区)
107.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. (SCI 1区)
108.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. (EI收录)
109.Mingwen Shao*, Le Li, Hong Wang, Deyu Meng, Selective Generative Adversarial Network for Raindrop Removal from A Single Image,Neurocomputing,2021, 426: 265-273. (SCI 2区)
110.Mingwen Shao*, Junhui Dai, Jiandong Kuang, Deyu Meng, A dynamic CNN pruning method based on matrix similarity, 2020,Signal, Image and Video Processing, 2021, 15:381–389. (SCI 4区)
111.Liu Shuqi,Mingwen Shao*, Liu Xinping, GAN-based Classifier Protection against adversarial attacks,Journal of Intelligent & Fuzzy Systems, 2020, 39(5): 7085-7095. (SCI 4区)
112.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. (SCI 1区，SCI高被引论文)
113.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. (SCI 1区)
114.Xiaoxia Song,Mingwen Shao*, Wangmeng Zuo, Cunhe Li, Face attribute editing based on generative adversarial networks,Signal, Image and Video Processing, 2020,14: 1217–1225. (SCI 4区)
115.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. (SCI 3区)
116.Changzhong Wang, Yang Huang,Mingwen Shao, Qinghua Hu, Degangu Chen, Feature Selection Based on Neighborhood Self-Information,IEEE Transactions on Cybernetics, 2020,50(9): 4031-4042. (SCI 1区，SCI高被引论文)
117.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. (SCI 3区)
118.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. (SCI 1区)
119.Wei Yiwei, Leiquan Wang, Haiwen Cao,Mingwen Shao, Chunlei Wu *, Multi-Attention Generative Adversarial Network for image captionin，Neurocomputing, 2020, 387: 91–99. (SCI 2区)
120.Changzhong Wang, Yang Huang, Xiaodong Fan,Mingwen Shao, Homomorphism between ordered decision systems,Soft Computing, 2019, 23: 365-374. (SCI 3区)
121.Changzhong Wang, Yunpeng Shi, Xiaodong Fan,Mingwen Shao, Attribute reduction based on k-nearest neighborhood rough sets,International Journal of Approximate Reasoning, 2019, 106:18-31. (SCI 2区)
122.Changzhong Wang, Yang Huang,Mingwen Shao, Fan Xiaodong, Fuzzy rough set-based attribute reduction using distance measures,Knowledge-Based Systems, 2019, 164: 205-212. (SCI 1区，SCI高被引论文)
123.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)
124.Mingwen Shao*, Weizhi Wu, Changzhong Wang, Axiomatic characterizations of adjoint generalized (dual) concept systems,Journal of Intelligent & Fuzzy Systems, 2019，37: 3629-3638. (SCI 4区)
125.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. (SCI 3区)
126.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. (SCI 3区)
127.Changzhong Wang, Qiang He,Mingwen Shao, Qinghua Hu, Feature selection based on maximal neighborhood discernibility,International Journal of Machine Learning and Cybernetics, 2018, 9:1929-1940. (SCI 3区)
128.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. (SCI 1区)
129.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. (SCI 3区)
130.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. (SCI 3区)
131.Mingwen Shao*, Kewen Li, Attribute reduction in generalized one-sided formal contexts,Information Sciences, 2017, 378(1): 317-327. (SCI 1区)
132.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. (SCI 1区)
133.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. (SCI 1区，SCI高被引论文)
134.Xin Li,Mingwen Shao*, Xingmin Zhao, Constructing lattice based on irreducible concepts,International Journal of Machine Learning and Cybernetics, 2017, 8(1): 109-122. (SCI 3区)
135.Mingwen Shao*, Yee Leung, Xizhao Wang, Weizhi Wu, Granular Reducts of Formal Fuzzy Contexts,Knowledge-Based Systems, 2016, 114(15): 156-166. (SCI 1区)
136.Weizhi Wu, Xu Youhong,Mingwen Shao, Guoyin Wang, Axiomatic characterizations of (S,T)-fuzzy rough approximation operators,Information Sciences, 2016, 334-335: 17–43. ( SCI 1区)
137.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. ( SCI 1区)
138.Mingwen Shao*, Hongzhi Yang, Weizhi Wu. Knowledge Reduction in Formal Fuzzy Contexts,Knowledge-Based Systems, 2015,73: 265-275. ( SCI 1区)
139.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. ( SCI 2区)
140.Mingwen Shao*, Yee Leung, Relations between granular reduct and dominance reduct in formal contexts,Knowledge-Based Systems, 2014, 65: 1-11. ( SCI 1区)
141.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. (SCI 3区)
142.Mingwen Shao*, Min Liu, Li Guo. Vector-based Attribute Reduction Method of The Concept Lattices,Fundamenta Informaticae, 2013,126(4): 397-414. (SCI 4区)
143.Weizhi Wu, Yee Leung,Mingwen Shao. Generalized fuzzy rough approximation operators determined by fuzzy implicators,International Journal of Approximate Reasoning, 2013, 54(9): 1388-1409. (SCI 1区)
144.邵明文,伍席文,郭理.数据变化与概念格结构的关系,工程数学学报, 2012, 29(4): 529-539.
145.Hongzhi Yang, Yee Leung,Mingwen Shao*. Rule Acquisition and Attribute Reduction in Real Decision Formal Contexts.Soft Computing, 2011, 11:1115-1128. (SCI 3区)
146.Mingwen Shao*, Li Guo, Lan Li. A novel attribute reduction approach based on the object oriented concept lattice,Lecture Notes in Computer science, 2011, Vol. 6954: 71-80.
147.Mingwen Shao*, Min Liu, Zhang Wenwiu. Set approximations in fuzzy formal concept analysis.Fuzzy Set and Systems, 2007, 158 : 2627-2640. (SCI 1区)
148.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. (SCI 2区)
149.Mingwen Shao*, Wenxiu Zhang. Approximation in Formal Concept Analysis.Lecture Notes in Computer science, 2005, Vol. 3641: 43-53. (SCI收录)
150.Mingwen Shao*, Wenxiu Zhang. Dominance Relation and Rules in An Incomplete Ordered Information System.International Journal of Intelligent Systems, 2005, 20(1): 13-27. (SCI 2区)
151.邵明文,张文修,米据生.合成信息系统与子信息系统.计算机科学, 2004, 3: 137-140.
