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性别：男
民族：汉
系所：人工智能系
职务：
职称：教授、博导、硕导
办公电话：0532-86980616
电子邮箱：smw278@126.com
邵明文
- 个人简介
邵明文，博士，中国石油大学（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。
通讯地址：山东省青岛市黄岛区长江西路66号工科E座1019室 - 研究领域
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。
- 学术兼职
- 主讲课程
《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》
- 教学、科研项目
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.中国石油大学（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。
- 论文论著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, IJCAI 2025, 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 by IEEE 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, ECCV 2024, 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, AAAI 2024,38,5:4722-4730. 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. (SCI 3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. (SCI 3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. (SCI 4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. (SCI 3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 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. (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.
获得荣誉
2024年12月获辽宁省自然科学三等奖（排名第二）；
2007年获省教育厅高校青年骨干教师称号。
研究生招生：
近几年毕业的研究生多数进入互联网公司和大型国企工作，部分进入公务员、事业部门工作；2025年毕业的硕士研究生已有4名同学分别签约腾讯、字节跳动、百度等互联网大厂。每年招收硕士生4-7名，博士生1-2名，欢迎喜欢科学研究或专注于深度学习、计算机视觉、居身智能最前沿技术开发的同学加入团队，一起学习。另外，欢迎本校优秀本科生加入我们团队。