邵明文，博士，开云电竞投注（华东）计算机学院教授，博士生导师。2002年6月获广西大学理学硕士学位，2005年6月获西安交通大学理学博士学位。2006年1月至2008年2月, 清华大学控制科学与工程专业博士后。中国人工智能学会粒计算与知识发现专业委员会常务委员，中国计算机学会人工智能与模式识别专委会委员、计算机视觉专委会委员，中国图形图象学会机器视觉专委会委员。先后主持完成国家自然科学基金项目5项、省部级项目6项。担任国际期刊《Knowledge-Based Systems》副主编；连续入选全球“TOP 2%顶尖科学家”和“终身科学影响力”榜单。

深度学习、计算机视觉、具身智能

近期主要工作：深度学习，图像恢复，图像\视频生成与编辑，3D视觉，工业视觉检测等。

《机器学习》、《数据挖掘与模式识别》、《深度学习》、《数据科学》、《计算机视觉》

1.国家自然科学基金项目（No：62376285），“多种恶劣天气下的退化图像一体化恢复方法研究”，2024.01-2027.12，主持；

2.九牧厨卫股份有限公司横向课题，“个性化定制油漆板件机器视觉识别”，2025.01-2025.6，主持；

3.智能制造福建省高校应用技术工程中心2024年开放课题，“基于机器视觉的板材表面缺陷检测方法研究”，2024.10-2026.6，主持；

4.上市公司横向技术开发课题，“恶劣天气红外视频增强解决方案”，2023.06-2024.06, 25万，主持；

5.上市公司横向技术开发课题，“红外视频超分解决方案，2023.06-2024.06, 25万，主持；

6.智能制造福建省高校应用技术工程中心开放课题，“基于自监督学习与图像重构的生成对抗网络设计”，2022.12-2023.12，主持；

7.山东省自然科学基金项目（No：ZR2022MF260），“基于生成对抗网络的图像生成学习方法研究”，2023.01-2025.12, 主持；

8.国家自然科学基金项目（No：62272375），“面向真实场景的遥感图像全色锐化深度学习方法研究”，2023.01-2026.12, 排名第2；

9.国家重点研发计划项目（No：2021YFA1000102），“油气管网安全运维的大数据分析理论、算法及应用”，2022.01-2025.12, 参与；

10.国家自然科学基金项目（No：61976245），“面向复杂数据的多粒度知识发现建模与三支决策分析”，2020.01-2023.12, 排名第2；

11.国家自然科学基金项目（No：61673396），“多尺度概念格的构造与知识发现方法研究”，2017.01-2020.12, 主持；

12.开云电竞投注（华东）自主创新项目，“基于粗糙集理论的复杂信息系统信息分析方法”,  2015.01-2017.12, 主持；

13.国家自然科学基金项目（No：61363056），“优势关系下的区间值信息系统知识获取方法”， 2014.01-2017.12，主持；

14.国家社会科学基金项目（No：14XXW004），“非常规突发事件舆情信息检测与分析方法研究”，2014.01-2016.12，排名第2；

15.国家自然科学基金项目（No：61173181），“基于粗糙集与概念格相韵合的数据分析理论与方法研究”，2012.01-2015.12，主持；

16.教育部一般科技项目（No：11XJJAZH001），“生产过程智能调度方法研究及调度系统设计”，2012.01-2015.12，排名第2；

17.国家自然科学基金项目（No：60963006），“模糊与集值形式背景下的形式概念分析理论与知识获取”，2010.01-2012.12，主持；

18.教育部科技项目（No：09YJCZH082），“基于粗糙集理论和形式概念分析的知识发现方法融合研究”，2010.01-2012.12，主持；

19.省自然科学基金项目（No：2007GQS0074），“概念性数据的属性约简与规则获取”，2008.01-2009.12，主持。

20.国家自然科学基金项目（No：60763001）：“基于隐式反馈和伪反馈的XML文本文档检索技术研究”，2008.01-2010.12，排名第2。

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.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.

3.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. 

4.Yecong Wan, Mingwen Shao*, Renlong Wu, Wangmeng Zuo, Color3D: Controllable and Consistent 3D Colorization with Personalized Colorizer, ICLR 2026, accepted. 

5.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.  

6.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.

7.Lingzhuang Meng, Mingwen Shao*, Yuanjian Qiao, Xiang Lv, DEGauss: Defending Against Malicious 3D Editing for Gaussian Splatting, NeurIPS 2025, accepted.  

8.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.

9.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. 

10.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.  

11.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.

12.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. 

13.Jie Zhang, Mingwen Shao*, MoE-based Mamba for Multi-scene Universal Remote Sensing Semantic Segmentation, IEEE International Conference on Multimedia & Expo 2025, accepted. 

14.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. 

15.Wei Wei, Zixiong Li, Jing Yan, Mingwen Shao, Lin Li*, Indirect Alignment and Relationship Preservation for Domain Generalization, IJCAI 2025, pp. 2054-2062. https://doi.org/10.24963/ijcai.2025/229. 

16.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. 

17.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. 

18.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. 

19.Kai Shang, Mingwen Shao*, Chao Wang, Xiaodong Tan, Wavelet Mamba: Wavelet-based state space model for low light image enhancement, Displays, 2025, 90:103100. 

20.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.  

21.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. 

22.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.  

23.Mingwen Shao, Xun Shao*, Lingzhuang Meng, Yuanyuan Liu, DFDW: Distribution-awareFilterandDynamicWeightforopen-mixed-domainTest-time adaptation, Image and Vision Computing, 2025, 158: 105521.  

24.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. 

25.Qiao Zhang, Mingwen Shao*, Xinyuan Chen, Pool-Mamba: Pooling State Space Model for Low-Light Image Enhancement, Neurocomputing, 2025, 635: 130005. 

26.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.

27.Yuanjian Qiao, Mingwen Shao*, Lingzhuang Meng, Kai Xu, RestorGS: Depth-aware Gaussian Splatting for Efficient 3D Scene Restoration, CVPR 2025, 11177- 11186. 

28.Yecong Wan, Mingwen Shao*, Yuanshuo Cheng, Wangmeng Zuo, S2Gaussian: Sparse-View Super-Resolution 3D Gaussian Splatting, CVPR 2025, 711-721. 

29.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.  

30.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. 

31.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. 

32.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.   

33.Mingwen Shao, Yuanjian Qiao*, Kai Zhang, Lingzhuang Meng, Frequency-aware Uncertainty Gaussian Splatting for Dynamic Scene Reconstruction, IEEE Transactions On Visualization and Computer Graphics, 2025, 31(5): 3558-3568. 

34.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. 

35.Kai Xu, Mingwen Shao*, Yuanjian Qiao, Yan Wang, Physical-aware Neural Radiance Fields for Efficient Exposure Correction, AAAI 2025, 39(9), 8906-8914.  

36.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. 

37.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. 

38.Huan Liu, Mingwen Shao*, Yecongu Wan, Yuexian Liu , Kai Shang, SeBIR: Semantic-Guided Burst Image Restoration, Neural Networks, 2024, 181: 106834. 

39.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.  

40.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. 

41.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. 

42.Mingwen Shao, Yuanjian Qiao*, Kai Zhang, Lingzhuang Meng, Frequency-aware Uncertainty Gaussian Splatting for Dynamic Scene Reconstruction, Accept by IEEE VR 2025.

43.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. 

44.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. 

45.Lingzhuang Meng, Mingwen Shao*, Yuanjian Qiao, Wenjie Liu, Inter-Class Topology Alignment for Efficient Black-Box Substitute Attacks, ECCV 2024, 15092: 261–277.  

46.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. 

47.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.  

48.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. 

49.Haonan Wang, Mingwen Shao*, Xiaodong Tan, Lixu Zhang, Modal-Aware Prompt tuning with Deep Adaptive Feature Enhancement, Computers and Electrical Engineering, 2024, 109270. 

50.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. 

51.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. 

52.Kai Shang, Mingwen Shao*, Chao Wang, Yuanshuo Cheng, Shuigen Wang, Multi-Domain Multi-Scale Diffusion Model for Low-Light Image Enhancement, AAAI 2024, 38(5): 4722-4730. https://doi.org/10.1609/aaai.v38i5.28273 . 

53.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. 

54.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. 

55.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.  

56.Fan Wang, Mingwen Shao*, Dual Stage Black-box Adversarial Attack against Vision Transformer, International Journal of Machine Learning and Cybernetics, 2024, 15: 3367–3378. 

57.Mingwen Shao, Zilu Peng *, Distance metric-based learning for long-tail object detection, Image and Vision Computing, 2024, 142: 104888. 

58.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.  

59.Kai Shang, Mingwen Shao *, Yuanjian Qiao, Huan Liu, Frequency-aware Network for Low-light Image Enhancement, Computers & Graphics, 2024, 118: 210-219. 

60.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.

61.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. 

62.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.  

63.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. 

64.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.  

65.Mingwen Shao*, Fukang Liu, Zihao Guo, Yuanjian Qiao, Hairstyle transfer via manipulating decoupled latent codes of StyleGAN2, Computers & Graphics, 2023，16: 363–372. 

66.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.

67.Zhiyong Hu, Mingwen Shao*, Weizhi Wu, Leijun Li, Knowledge acquisition of multi-granularity ordered information systems, Applied Soft Computing, 2023, 146：11067. 

68.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. 

69.Huan Liu, Mingwen Shao*, Yuanjian Qiao, Yecongu Wan, Deyu Meng, Unpaired Image Super-resolution Using a Lightweight Invertible Network, Pattern Recognition, 2023，144: 109822.  

70.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.      

71.Yecongu Wan, Mingwen Shao*, Yuanshuo Cheng, Deyu Meng, Wangmeng Zuo, Progressive Convolutional Transformer for Image Restoration, Engineering Applications of Artificial Intelligence, 2023, 125: 106755.  

72.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.   

73.Fukang Liu, Mingwen Shao*, Fan Wang, Lixu Zhang, High-fidelity GAN inversion by frequency domain guidance, Computers & Graphics, 2023, 114: 286-295.    

74.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. 

75.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. 

76.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. 

77.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.  

78.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.    

79.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. 

80.Mingwen Shao, Yuanjian Qiao*, Deyu Meng, Wangmeng Zuo, Uncertainty-Guided Hierarchical Frequency Domain Transformer for Image, Knowledge-Based Systems, 2023, 262: 110306.   

81.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. 

82.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.   

83.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. 

84.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.   

85.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) 

86.Yecongu Wan, Yuanshuo Cheng, Mingwen Shao*, Gonzàlezb Jordi, Image Rain Removal and Illumination Enhancement Done in One Go, Knowledge-Based Systems, 2022, 252: 109244.  

87.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.  

88.Yecongu Wan, Yuanshuo Cheng, Mingwen Shao*, MSLANet: Multi-scale Long Attention Network for Skin Lesion Classication, Applied Intelligence, 2023:53:12580–12598.   

89.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.    

90.Jiandong Kuang Mingwen 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.    

91.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.    

92.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.  

93.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.  

94.Wei Gao, Mingwen Shao*, Jun Shu, Xinkai Zhuang, Meta-BN Net for Few-Shot Learning, Frontiers of Computer Science, 2023, 17: 171302. 

95.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.  

96.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. 

97.Mingwen Shao*, Le Li *, Deyu Meng, Wangmeng Zuo, Uncertainty Guided Multi-scale Attention Network for Raindrop Removal from A Single Image,  IEEE Transactions on Image Processing, 2021, 30: 4828-4839.  

98.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. 

99.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. 

100.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. 

101.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.  

102.Mingwen Shao*, Le Li, Hong Wang, Deyu Meng, Selective Generative Adversarial Network for Raindrop Removal from A Single Image, Neurocomputing, 2021, 426: 265-273.  

103.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.  

104.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. 

105.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.  

106.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.  

107.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.  

108.Wei Yiwei, Leiquan Wang, Haiwen Cao, Mingwen Shao, Chunlei Wu *, Multi-Attention Generative Adversarial Network for image captionin, Neurocomputing, 2020, 387: 91–99.  

109.Changzhong Wang, Yang Huang, Mingwen Shao, Fan Xiaodong, Fuzzy rough set-based attribute reduction using distance measures, Knowledge-Based Systems, 2019, 164: 205-212. 

110.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)

111.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.  

112.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. 

113.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.  

114.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. 

115.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.  

116.Mingwen Shao*, Kewen Li, Attribute reduction in generalized one-sided formal contexts, Information Sciences, 2017, 378(1): 317-327.  

117.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.  

118.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.  

119.Xin Li, Mingwen Shao*, Xingmin Zhao, Constructing lattice based on irreducible concepts, International Journal of Machine Learning and Cybernetics, 2017, 8(1): 109-122.  

120.Mingwen Shao*, Yee Leung, Xizhao Wang, Weizhi Wu, Granular Reducts of Formal Fuzzy Contexts, Knowledge-Based Systems, 2016, 114(15): 156-166.  

121.Weizhi Wu, Xu Youhong, Mingwen Shao, Guoyin Wang, Axiomatic characterizations of (S,T)-fuzzy rough approximation operators, Information Sciences, 2016, 334-335: 17–43.  

122.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.  

123.Mingwen Shao*, Hongzhi Yang, Weizhi Wu. Knowledge Reduction in Formal Fuzzy Contexts, Knowledge-Based Systems, 2015,73: 265-275. 

124.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. 

125.Mingwen Shao*, Yee Leung, Relations between granular reduct and dominance reduct in formal contexts, Knowledge-Based Systems, 2014, 65: 1-11.  

126.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. 

127.Mingwen Shao*, Min Liu, Li Guo. Vector-based Attribute Reduction Method of The Concept Lattices, Fundamenta Informaticae, 2013, 126(4): 397-414. 

128.Hongzhi Yang, Yee Leung, Mingwen Shao*. Rule Acquisition and Attribute Reduction in Real Decision Formal Contexts. Soft Computing, 2011, 11:1115-1128.  

129.Mingwen Shao*, Min Liu, Zhang Wenwiu. Set approximations in fuzzy formal concept analysis. Fuzzy Set and Systems, 2007, 158: 2627-2640. 

130.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.  

131.Mingwen Shao*, Wenxiu Zhang. Dominance Relation and Rules in An Incomplete Ordered Information System. International Journal of Intelligent Systems, 2005, 20(1): 13-27.