中国石油华东计算机的邵明文导师,邵明文

超、凢脫俗 2022-09-01 11:57 205阅读 0赞

近年发表的主要学术论文 (Selected Journal Papers)：

\[1\] Shao Mingwen\*, Li Le\*, Meng Deyu, Zuo Wangmeng, Uncertainty Guided Multi-scale Attention Network for Raindrop Removal from A Single Image,  IEEE Transactions on Image Processing, DOI: 10.1109/TIP.2021.3076283, 已录用.  (SCI 1区)

\[2\] Shao Mingwen\*, Zhang Youcai, Fan Yuan, Zuo Wangmeng, Meng Deyu, IIT-GAT: Instance-level Image Transformation via Unsupervised Generative Attention Networks with Disentangled Representations,  Knowledge-Based Systems, 已录用.  (SCI 1区)

\[3\] Hu Zhiyong, Shao Mingwen\*, Liu Huan, Mi Jusheng, Cognitive Computing and Rule Extraction in Generalized One-sided Formal Contexts, Cognitive Computing, 已录用.  (SCI 2区)

\[4\] Shao Mingwen\*, Zhang Gaozhi, Zuo Wangmeng, Meng Deyu, Target Attack on Biomedical Image Segmentation Model based on Multi-scale Gradients,  Information Sciences, 2021, 554: 33–46.  (SCI 1区)

\[5\] Shao Mingwen\*, Chao Wang, Wu Tianjun, Meng Deyu, Luo Jiancheng, Context-based Multi-scale Unified Network for Missing Data Reconstruction in Remote Sensing images, IEEE Geoscience and Remote Sensing Letters, 2021, DOI: 10.1109/LGRS.2020.3021116.  (SCI 2区)

\[6\] 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.

\[7\] Shao Mingwen\*, Li Le, Wang Hong, Meng Deyu, Selective Generative Adversarial Network for Raindrop Removal from A Single Image, Neurocomputing, 2021, 426: 265-273. (SCI 2区)

\[8\] Shao Mingwen\*, Dai Junhui, Kuang Jiandong, Meng Deyu, A dynamic CNN pruning method based on matrix similarity, 2020, Signal, Image and Video Processing, 2021, 15:381–389.  (SCI 4区)

\[9\] Liu Shuqi, Shao Mingwen\*, Liu Xinping, GAN-based Classifier Protection against adversarial attacks, Journal of Intelligent & Fuzzy Systems, 2020, 39(5): ‏ 7085-7095.  (SCI 4区)

\[10\] Wang Changzhong, Wang Yan, Shao Mingwen, Qian Yuhua, Chen Degang, Fuzzy rough attribute reduction for categorical data, IEEE Transactions on Fuzzy Systems, 2020, 28(5): 818-829.   (SCI 1区)

\[11\] Shao Mingwen\*, Zhang Wentao, Zuo Wangmeng, Meng Deyu, Multi-scale generative adversarial inpainting network based on cross-layer attention transfer mechanism, Knowledge-Based Systems, 2020,196: 105778.  (SCI 2区)

\[12\] Song Xiaoxia, Shao Mingwen\*, Zuo Wangmeng, Li Cunhe, Face attribute editing based on generative adversarial networks, Signal, Image and Video Processing, 2020, 14: 1217–1225.  (SCI 4区)

\[13\] Fan Yuan, Shao Mingwen\*, Zuo Wangmeng, Li Qingyun, Unsupervised image‑to‑image translation using intra‑domain reconstruction loss, International Journal of Machine Learning and Cybernetics, 2020, 11: 2077–2088.  (SCI 3区)

\[14\] Shao Mingwen, Lv mengmeng, Li kewen, Wang Changzhong, The Construction of Attribute (Object)-oriented Multi-granularity Concept Lattices，International Journal of Machine Learning and Cybernetics, 2020, 11: 1017–1032.  (SCI 3区 )

\[15\] Shao Mingwen, Wu Weizhi, Wang Xi-Zhao, Wang Changzhong, Knowledge reduction methods of covering approximate spaces based on concept lattice, Knowledge-Based Systems，2020, 191(5):1-9.  (SCI 2区)

\[16\] Wei Yiwei, Wang Leiquan, Cao Haiwen, Shao Mingwen\*, Wu Chunlei\*, Multi-Attention Generative Adversarial Network for image captioning， Neurocomputing, 2020, 387: 91–99.  (SCI 2区)

\[17\] Wang Changzhong, Huang Yang, Fan Xiaodong, Shao Mingwen, Homomorphism between ordered decision systems, Soft Computing, 2019, 23: 365-374.  (SCI 3区)

\[18\] Wang Changzhong, Shi Yunpeng, Fan Xiaodong, Shao Ming-Wen, Attribute reduction based on k-nearest neighborhood rough sets, International Journal of Approximate Reasoning, 2019, 106:18-31. (SCI 3区).

\[19\] Wang Changzhong, Huang Yang, Shao Mingwen, Fan Xiaodong, Fuzzy rough set-based attribute reduction using distance measures, Knowledge-Based Systems, 2019, 164: 205-212.  (SCI 2区).

\[20\] Wang Changzhong, Huang Yang, Shao Mingwen, Chen Degang, Uncertainty measures for general fuzzy relations, Fuzzy Sets and System, 2019, 360(1): 82-96.  (SCI 1区).

\[21\] Shao Mingwen, Wu Weizhi, Wang Changzhong, Axiomatic characterizations of adjoint generalized (dual) concept systems, Journal of Intelligent & Fuzzy Systems, 2019，37: 3629-3638. (SCI 4区)

\[22\] Wu Weizhi, Shao Mingwen, Wang Xia, 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)

\[23\] Shao Mingwen, Guo Li, Wang Changzhong, Connections between two- universe rough sets and formal concepts, International Journal of Machine Learning and Cybernetics, 2018, 9(11): 1869-1877.  (SCI 3区)

\[24\] Wang Changzhong, He Qiang, Shao Mingwen, Hu Qinghua, Feature selection based on maximal neighborhood discernibility, International Journal of Machine Learning and Cybernetics, 2018, 9:1929-1940. (SCI 3区).

\[25\] Wang Changzhong, He Qiang, Shao Mingwen, Xu Yangyang, Hu Qinghua, A unified information measure for general binary relations, Knowledge-Based Systems, 2017, 135: 18-28.  (SCI 2区)

\[26\] Gong Faming, Shao Mingwen (通讯作者), Qiu Guofang, Concept Granular Computing Systems and Their Approximation Operators, International Journal of Machine Learning and Cybernetics, 2017, 8(2): 627–640.  (SCI 3区)

\[27\] Li Kewen, Shao Mingwen (通讯作者), Wu Weizhi, A data reduction method in formal fuzzy contexts, International Journal of Machine Learning and Cybernetics, 8(4) (2017) 1145–1155.  (SCI 3区)

\[28\] Shao Mingwen, Li Kewen, Attribute reduction in generalized one-sided formal contexts, Information Sciences, 2017, 378(1): 317-327.  (SCI 1区)

\[29\] Wang Changzhong, Shao Mingwen, He Qiang, Qian Yuhua, Qi Yali, Feature subset selection based on fuzzy neighborhood rough sets, Knowledge-Based Systems, 2016, 111: 173–179.  (SCI 1区)

\[30\] Wang Changzhong, Qi Yali, Shao Mingwen, Hu Qinghua, Chen Degang, Qian Yuhua, 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)

\[31\] Xin Li, Shao Mingwen (通讯作者), Xing-Min Zhao, Constructing lattice based on irreducible concepts, International Journal of Machine Learning and Cybernetics, 2017, 8(1): 109-122.  (SCI 3区)

\[32\] Shao Mingwen, Leung Yee, Wang Xizhao, Wu Weizhi, Granular Reducts of Formal Fuzzy Contexts, Knowledge-Based Systems, 2016, 114(15): 156-166.  (SCI 1区)

\[33\] Wu Weizhi, Xu Youhong, Shao Mingwen, Wang Guoyin, Axiomatic characterizations of (S,T)-fuzzy rough approximation operators, Information Sciences, 2016, 334-335: 17–43.  ( SCI 2区)

\[34\] Wang Changzhong, Shao Mingwen (通讯作者), Sun Baiqing, Hu Qinghua. An improved attribute reduction scheme with covering based rough sets, Applied Soft Computing, 2015, 26: 235-243.  ( SCI 2区)

\[35\] Shao Mingwen, Yang Hongzhi, Wu Weizhi. Knowledge Reduction in Formal Fuzzy Contexts, Knowledge-Based Systems, 2015,73: 265-275.  ( SCI 1区)

\[36\] Shao Mingwen, Leung Yee, Wu Weizhi, Rule Acquisition and Complexity Reduction in Formal Decision Contexts, International Journal of Approximate Reasoning, 2014, 55(1): 259-274.  ( SCI 3区)

\[37\] Shao Mingwen, Leung Yee, Relations between granular reduct and dominance reduct in formal contexts, Knowledge-Based Systems, 2014, 65: 1-11.  ( SCI 1区)

\[38\] Shao Mingwen, Yang hongzhi. 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 )

\[39\] Shao Mingwen, Liu Min, Guo Li. Vector-based Attribute Reduction Method of The Concept Lattices, Fundamenta Informaticae, 2013,126(4): 397-414. (SCI 4区)

\[40\] Wu Weizhi, Leung Yee, Shao Mingwen. Generalized fuzzy rough approximation operators determined by fuzzy implicators, International Journal of Approximate Reasoning, 2013, 54(9): 1388-1409.  (SCI 3区 )

\[41\] 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.

\[42\] Yang Hongzhi, Leung Yee, Shao Mingwen (通讯作者). Rule Acquisition and Attribute Reduction in Real Decision Formal Contexts. Soft Computing, 2011, 11:1115-1128.  (SCI 3区 )

\[43\] Shao Mingwen, Guo Li, Li Lan. A novel attribute reduction approach based on the object oriented concept lattice, Lecture Notes in Computer science, 2011, Vol. 6954: 71-80.

\[44\] Shao Mingwen, Liu Min, Zhang Wenwiu. Set approximations in fuzzy formal concept analysis. Fuzzy Set and Systems, 2007, 158 : 2627-2640.  (SCI 1区 )

\[45\] Liu Min, Shao Mingwen (通讯作者), Zhang Wenxiu. Reduction method for concept lattices based on rough set theory and its application. Computer & Mathematics with Applications, 2007, 53: 1390-1410.  (SCI 3区 )

\[46\] Shao Mingwen, Zhang Wenxiu. Approximation in Formal Concept Analysis. Lecture Notes in Computer science, 2005, Vol. 3641: 43-53. (SCI收录)

\[47\] Shao Mingwen, Zhang Wenxiu. Dominance Relation and Rules in An Incomplete Ordered Information System. International Journal of Intelligent Systems, 2005, 20(1): 13-27.  (SCI 3区)

\[48\] 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.