Articles with public access mandates - Mingwen ShaoLearn more
Not available anywhere: 61
Fuzzy rough set-based attribute reduction using distance measures
C Wang, Y Huang, M Shao, X Fan
Knowledge-Based Systems 164, 205-212, 2019
Mandates: National Natural Science Foundation of China
Fuzzy rough attribute reduction for categorical data
C Wang, Y Wang, M Shao, Y Qian, D Chen
IEEE Transactions on Fuzzy Systems 28 (5), 818-830, 2019
Mandates: National Natural Science Foundation of China
An improved attribute reduction scheme with covering based rough sets
C Wang, M Shao, B Sun, Q Hu
Applied Soft Computing 26, 235-243, 2015
Mandates: National Natural Science Foundation of China
Attribute reduction in generalized one-sided formal contexts
MW Shao, KW Li
Information Sciences 378, 317-327, 2017
Mandates: National Natural Science Foundation of China
Knowledge reduction in formal fuzzy contexts
MW Shao, HZ Yang, WZ Wu
Knowledge-Based Systems 73, 265-275, 2015
Mandates: National Natural Science Foundation of China
Axiomatic characterizations of (S, T)-fuzzy rough approximation operators
WZ Wu, YH Xu, MW Shao, G Wang
Information Sciences 334, 17-43, 2016
Mandates: National Natural Science Foundation of China
Feature selection based on maximal neighborhood discernibility
C Wang, Q He, M Shao, Q Hu
International Journal of Machine Learning and Cybernetics 9, 1929-1940, 2018
Mandates: National Natural Science Foundation of China
EAA-Net: A novel edge assisted attention network for single image dehazing
C Wang, HZ Shen, F Fan, MW Shao, CS Yang, JC Luo, LJ Deng
Knowledge-Based Systems 228, 107279, 2021
Mandates: National Natural Science Foundation of China
A unified information measure for general binary relations
C Wang, Q He, M Shao, Y Xu, Q Hu
Knowledge-Based Systems 135, 18-28, 2017
Mandates: National Natural Science Foundation of China
A data reduction method in formal fuzzy contexts
K Li, MW Shao, WZ Wu
International Journal of Machine Learning and Cybernetics 8, 1145-1155, 2017
Mandates: National Natural Science Foundation of China
Relations between granular reduct and dominance reduct in formal contexts
MW Shao, Y Leung
Knowledge-Based Systems 65, 1-11, 2014
Mandates: National Natural Science Foundation of China
A novel fuzzy hierarchical fusion attention convolution neural network for medical image super-resolution reconstruction
C Wang, X Lv, M Shao, Y Qian, Y Zhang
Information Sciences 622, 424-436, 2023
Mandates: National Natural Science Foundation of China
The construction of attribute (object)-oriented multi-granularity concept lattices
MW Shao, MM Lv, KW Li, CZ Wang
International Journal of Machine Learning and Cybernetics 11, 1017-1032, 2020
Mandates: National Natural Science Foundation of China
Multi-attention generative adversarial network for image captioning
Y Wei, L Wang, H Cao, M Shao, C Wu
Neurocomputing 387, 91-99, 2020
Mandates: National Natural Science Foundation of China
Uncertainty guided multi-scale attention network for raindrop removal from a single image
MW Shao, L Li, DY Meng, WM Zuo
IEEE Transactions on Image Processing 30, 4828-4839, 2021
Mandates: National Natural Science Foundation of China
Using single axioms to characterize (S, T)-intuitionistic fuzzy rough approximation operators
WZ Wu, MW Shao, X Wang
International Journal of Machine Learning and Cybernetics 10, 27-42, 2019
Mandates: National Natural Science Foundation of China
Target attack on biomedical image segmentation model based on multi-scale gradients
M Shao, G Zhang, W Zuo, D Meng
Information sciences 554, 33-46, 2021
Mandates: National Natural Science Foundation of China
A dynamic CNN pruning method based on matrix similarity
M Shao, J Dai, J Kuang, D Meng
Signal, Image and Video Processing 15, 381-389, 2021
Mandates: National Natural Science Foundation of China
Dual-pyramidal image inpainting with dynamic normalization
C Wang, M Shao, D Meng, W Zuo
IEEE Transactions on Circuits and Systems for Video Technology 32 (9), 5975-5988, 2022
Mandates: National Natural Science Foundation of China
Connections between two-universe rough sets and formal concepts
MW Shao, L Guo, CZ Wang
International Journal of Machine Learning and Cybernetics 9, 1869-1877, 2018
Mandates: National Natural Science Foundation of China
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