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2020 – today
- 2024
[j116]Haonan Wang
, Mingwen Shao, Xiaodong Tan, Lixu Zhang:
Modal-aware prompt tuning with deep adaptive feature enhancement. Comput. Electr. Eng. 117: 109270 (2024)- [j115]Kai Shang, Mingwen Shao, Yuanjian Qiao, Huan Liu:
Frequency-aware network for low-light image enhancement. Comput. Graph. 118: 210-219 (2024) - [j114]Mingwen Shao, Xinkai Zhuang, Lixu Zhang, Wangmeng Zuo:
Pseudo initialization based Few-Shot Class Incremental Learning. Comput. Vis. Image Underst. 247: 104067 (2024) - [j113]Huan Liu, Mingwen Shao, Kai Shang, Yuanjian Qiao, Shuigen Wang:
When guided diffusion model meets zero-shot image super-resolution. Eng. Appl. Artif. Intell. 138: 109336 (2024) - [j112]Zhiyong Hu, Mingwen Shao, Jusheng Mi, Weizhi Wu:
Mining positive and negative rules via one-sided fuzzy three-way concept lattices. Fuzzy Sets Syst. 479: 108842 (2024) - [j111]Mingwen Shao, Zilu Peng:
Distance metric-based learning for long-tail object detection. Image Vis. Comput. 142: 104888 (2024) - [j110]Mingwen Shao, Minggui Han, Lingzhuang Meng, Fukang Liu:
Background-focused contrastive learning for unpaired image-to-image translation. J. Electronic Imaging 33(4) (2024) - [j109]Xun Shao, Mingwen Shao, Sijie Chen, Yuanyuan Liu:
USDAP: universal source-free domain adaptation based on prompt learning. J. Electronic Imaging 33(5) (2024) - [j108]Le Li, Hudan Pan, Yong Liang, Mingwen Shao, Shengli Xie, Shanghui Lu, Shuilin liao:
PMFN-SSL: Self-supervised learning-based progressive multimodal fusion network for cancer diagnosis and prognosis. Knowl. Based Syst. 289: 111502 (2024) - [j107]Yecong Wan, Mingwen Shao, Yuanshuo Cheng, Wangmeng Zuo:
Image all-in-one adverse weather removal via dynamic model weights generation. Knowl. Based Syst. 302: 112324 (2024) - [j106]Yuanshuo Cheng, Mingwen Shao, Yecong Wan, Chao Wang:
RDM-IR: Task-adaptive deep unfolding network for All-In-One image restoration. Knowl. Based Syst. 304: 112543 (2024) - [j105]Zhiyuan Bao, Mingwen Shao, Yecong Wan, Yuanjian Qiao:
Recursive residual Fourier transformation for single image deraining. Int. J. Mach. Learn. Cybern. 15(5): 1743-1754 (2024) - [j104]Zhiyi Cao, Bin Xie, Lina Huo, Mingwen Shao:
Conditional contrastive learning for unpaired global mosaic removal with a few samples. Int. J. Mach. Learn. Cybern. 15(6): 2481-2493 (2024) - [j103]Fan Wang, Mingwen Shao, Lingzhuang Meng, Fukang Liu:
Dual stage black-box adversarial attack against vision transformer. Int. J. Mach. Learn. Cybern. 15(8): 3367-3378 (2024) - [j102]Zhimin Shao, Zhiyong Hu, Meng-Meng Lv, Mingwen Shao, Rui Guo, Shidong Zhang:
The construction of multi-granularity generalized one-sided concept lattices. Int. J. Mach. Learn. Cybern. 15(11): 5033-5052 (2024) - [j101]Yuanshuo Cheng, Mingwen Shao, Yecong Wan:
Mutually guided learning of global semantics and local representations for image restoration. Multim. Tools Appl. 83(10): 30019-30044 (2024) - [j100]Yecong Wan, Mingwen Shao, Yuanshuo Cheng, Weiping Ding:
Fuzzy-based cross-image pixel contrastive learning for compact medical image segmentation. Multim. Tools Appl. 83(10): 30377-30397 (2024) - [j99]Hong Liang, Guoqing Cao, Mingwen Shao, Qian Zhang:
A dual progressive strategy for long-tailed visual recognition. Mach. Vis. Appl. 35(1): 1 (2024) - [j98]Yuanjian Qiao, Mingwen Shao, Leiquan Wang, Wangmeng Zuo:
Learning Depth-Density Priors for Fourier-Based Unpaired Image Restoration. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2604-2618 (2024) - [j97]Mingwen Shao, Jiandong Kuang, Chao Wang, Wangmeng Zuo, Guoyin Wang:
Multidimensional Dynamic Pruning: Exploring Spatial and Channel Fuzzy Sparsity. IEEE Trans. Fuzzy Syst. 32(9): 4890-4901 (2024) - [j96]Xiaodong Tan, Mingwen Shao, Yuanjian Qiao, Tiyao Liu, Xiangyong Cao:
Low-Rank Prompt-Guided Transformer for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j95]Leiquan Wang, Ye Fang, Zhongwei Li, Chunlei Wu, Mingming Xu, Mingwen Shao:
Summator-Subtractor Network: Modeling Spatial and Channel Differences for Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - [j94]Jie Zhang, Mingwen Shao, Yecong Wan, Lingzhuang Meng, Xiangyong Cao, Shuigen Wang:
Boundary-Aware Spatial and Frequency Dual-Domain Transformer for Remote Sensing Urban Images Segmentation. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024) - [j93]Lingzhuang Meng, Mingwen Shao, Fan Wang, Yuanjian Qiao, Zhaofei Xu:
Advancing Few-Shot Black-Box Attack With Alternating Training. IEEE Trans. Reliab. 73(3): 1544-1558 (2024) - [j92]Zihao Guo, Mingwen Shao, Shunhang Li:
Image-to-image translation using an offset-based multi-scale codes GAN encoder. Vis. Comput. 40(2): 699-715 (2024) - [j91]Mingwen Shao, Zhiyuan Bao, Weihan Liu, Yuanjian Qiao, Yecong Wan:
Frequency domain-enhanced transformer for single image deraining. Vis. Comput. 40(10): 6723-6738 (2024) - [c20]Kai Shang, Mingwen Shao, Chao Wang, Yuanshuo Cheng, Shuigen Wang:
Multi-Domain Multi-Scale Diffusion Model for Low-Light Image Enhancement. AAAI 2024: 4722-4730 - [c19]Lingzhuang Meng, Mingwen Shao, Yuanjian Qiao, Wenjie Liu:
Inter-Class Topology Alignment for Efficient Black-Box Substitute Attacks. ECCV (34) 2024: 261-277 - 2023
- [j90]Qian Zhang, Chengjie Zou, Mingwen Shao, Hong Liang:
A Single-Stage Unsupervised Denoising Low-Illumination Enhancement Network Based on Swin-Transformer. IEEE Access 11: 75696-75706 (2023) - [j89]Yecong Wan, Yuanshuo Cheng, Mingwen Shao:
MSLANet: multi-scale long attention network for skin lesion classification. Appl. Intell. 53(10): 12580-12598 (2023) - [j88]Zhiyong Hu, Mingwen Shao, Weizhi Wu, Leijun Li:
Knowledge acquisition of multi-granularity ordered information systems. Appl. Soft Comput. 146: 110674 (2023) - [j87]Le Li, Yong Liang, Mingwen Shao, Shanghui Lu, Shuilin liao, Dong Ouyang:
Self-supervised learning-based Multi-Scale feature Fusion Network for survival analysis from whole slide images. Comput. Biol. Medicine 153: 106482 (2023) - [j86]Yuanjian Qiao, Mingwen Shao, Huan Liu, Kai Shang:
Mutual channel prior guided dual-domain interaction network for single image raindrop removal. Comput. Graph. 112: 132-142 (2023) - [j85]Fukang Liu, Mingwen Shao, Fan Wang, Lixu Zhang:
High-fidelity GAN inversion by frequency domain guidance. Comput. Graph. 114: 286-295 (2023) - [j84]Mingwen Shao, Fukang Liu, Zihao Guo, Yuanjian Qiao:
Hairstyle transfer via manipulating decoupled latent codes of StyleGAN2. Comput. Graph. 116: 363-372 (2023) - [j83]Yecong Wan, Mingwen Shao, Yuanshuo Cheng, Deyu Meng, Wangmeng Zuo:
Progressive convolutional transformer for image restoration. Eng. Appl. Artif. Intell. 125: 106755 (2023) - [j82]Wei Gao, Mingwen Shao, Jun Shu, Xinkai Zhuang:
Meta-BN Net for few-shot learning. Frontiers Comput. Sci. 17(1): 171302 (2023) - [j81]Mingwen Shao, Zhiyong Hu, Weizhi Wu, Huan Liu:
Graph neural networks induced by concept lattices for classification. Int. J. Approx. Reason. 154: 262-276 (2023) - [j80]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 542: 126279 (2023) - [j79]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. Inf. Sci. 622: 424-436 (2023) - [j78]Mingwen Shao, Yuanjian Qiao, Deyu Meng, Wangmeng Zuo:
Uncertainty-guided hierarchical frequency domain Transformer for image restoration. Knowl. Based Syst. 263: 110306 (2023) - [j77]Jianxin Yang, Mingwen Shao, Huan Liu, Xinkai Zhuang:
Generating adversarial samples by manipulating image features with auto-encoder. Int. J. Mach. Learn. Cybern. 14(7): 2499-2509 (2023) - [j76]Shunhang Li, Mingwen Shao, Zihao Guo, Xinkai Zhuang:
Improving knowledge distillation via pseudo-multi-teacher network. Mach. Vis. Appl. 34(2): 33 (2023) - [j75]Sijie Chen, Mingwen Shao, Lixu Zhang, Zhiyuan Bao:
Two-stage structural information enhancement for source-free domain adaptation. Mach. Vis. Appl. 34(6): 121 (2023) - [j74]Haozhen Shen, Chao Wang, Liang-Jian Deng, Liangtian He, Xiaoping Lu, Mingwen Shao, Deyu Meng:
FDDN: frequency-guided network for single image dehazing. Neural Comput. Appl. 35(25): 18309-18324 (2023) - [j73]Mingwen Shao, Huan Liu, Jianxin Yang, Feilong Cao:
Adaptive one-stage generative adversarial network for unpaired image super-resolution. Neural Comput. Appl. 35(28): 20909-20922 (2023) - [j72]Huan Liu, Mingwen Shao, Chao Wang, Feilong Cao:
Image Super-Resolution Using a Simple Transformer Without Pretraining. Neural Process. Lett. 55(2): 1479-1497 (2023) - [j71]Mingwen Shao, Shunhang Li, Zilu Peng, Yuantao Sun:
Adversarial-Based Ensemble Feature Knowledge Distillation. Neural Process. Lett. 55(8): 10315-10329 (2023) - [j70]Yecong Wan, Mingwen Shao, Zhi-Yuan Bao, Yuanshuo Cheng:
Global-local transformer for single-image rain removal. Pattern Anal. Appl. 26(3): 1527-1538 (2023) - [j69]Huan Liu, Mingwen Shao, Yuanjian Qiao, Yecong Wan, Deyu Meng:
Unpaired image super-resolution using a lightweight invertible neural network. Pattern Recognit. 144: 109822 (2023) - [j68]Qian Zhang, Lu Chen, Mingwen Shao, Hong Liang, Jie Ren:
ESAMask: Real-Time Instance Segmentation Fused with Efficient Sparse Attention. Sensors 23(14): 6446 (2023) - [j67]Zeting Liu, Mingwen Shao, Yuantao Sun, Zilu Peng:
Multi-task feature-aligned head in one-stage object detection. Signal Image Video Process. 17(4): 1345-1353 (2023) - [j66]Jie Zhang, Mingwen Shao, Yuanjian Qiao, Xiangyong Cao:
Enhancing Efficient Global Understanding Network With CSWin Transformer for Urban Scene Images Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 10230-10245 (2023) - [j65]Yuanshuo Cheng, Mingwen Shao, Yecong Wan, Yue-Xian Liu, Huan Liu, Deyu Meng:
Deep Fuzzy Clustering Transformer: Learning the General Property of Corruptions for Degradation-Agnostic Multitask Image Restoration. IEEE Trans. Fuzzy Syst. 31(12): 4501-4515 (2023) - [j64]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 Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j63]Hong Liang, Shaoshuai Han, Mingwen Shao, Qian Zhang:
FGPGAN: a finer-grained CNN pruning via generative adversarial network. J. Supercomput. 79(15): 16647-16663 (2023) - [j62]Chen Guo, Yaojin Lin, Meiyan Xu, Mingwen Shao, Junfeng Yao:
Inverse transformation sampling-based attentive cutout for fine-grained visual recognition. Vis. Comput. 39(7): 2597-2608 (2023) - [j61]Mingwen Shao, Wei Zhang, Yunhao Li, Bingbing Fan:
Branch aware assignment for object detection. Vis. Comput. 39(11): 5719-5728 (2023) - [c18]Huan Liu, Mingwen Shao, Yuanjian Qiao, Fukang Liu:
An Efficient Frequency Domain Separation Network for Paired and Unpaired Image Super-Resolution. IJCNN 2023: 1-8 - [i4]Yecong Wan, Ming-Wen Shao, Yuanshuo Cheng, Yue-Xian Liu, Zhi-Yuan Bao, Deyu Meng:
Restoring Images Captured in Arbitrary Hybrid Adverse Weather Conditions in One Go. CoRR abs/2305.09996 (2023) - [i3]Yuanshuo Cheng, Mingwen Shao, Yecong Wan, Chao Wang, Wangmeng Zuo:
DRM-IR: Task-Adaptive Deep Unfolding Network for All-In-One Image Restoration. CoRR abs/2307.07688 (2023) - [i2]Mingwen Shao, Lingzhuang Meng, Yuanjian Qiao, Lixu Zhang, Wangmeng Zuo:
Data-free Black-box Attack based on Diffusion Model. CoRR abs/2307.12872 (2023) - [i1]Yuanshuo Cheng, Mingwen Shao, Yecong Wan, Lixu Zhang, Wangmeng Zuo, Deyu Meng:
Cross-Consistent Deep Unfolding Network for Adaptive All-In-One Video Restoration. CoRR abs/2309.01627 (2023) - 2022
- [j60]Zhiyong Hu, Mingwen Shao, Huan Liu, Jvsheng Mi:
Cognitive Computing and Rule Extraction in Generalized One-sided Formal Contexts. Cogn. Comput. 14(6): 2087-2107 (2022) - [j59]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. Knowl. Based Syst. 235: 107651 (2022) - [j58]Yecong Wan, Yuanshuo Cheng, Mingwen Shao, Jordi Gonzàlez:
Image rain removal and illumination enhancement done in one go. Knowl. Based Syst. 252: 109244 (2022) - [j57]Mingwen Shao, Chao Wang, Tianjun Wu, Deyu Meng, Jiancheng Luo:
Context-Based Multiscale Unified Network for Missing Data Reconstruction in Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j56]Mingwen Shao, Junhui Dai, Ran Wang, Jiandong Kuang, Wangmeng Zuo:
CSHE: network pruning by using cluster similarity and matrix eigenvalues. Int. J. Mach. Learn. Cybern. 13(2): 371-382 (2022) - [j55]Bingbing Fan, Mingwen Shao, Yunhao Li, Cunhe Li:
Global contextual attention for pure regression object detection. Int. J. Mach. Learn. Cybern. 13(8): 2189-2197 (2022) - [j54]Jiandong Kuang, Mingwen Shao, Ran Wang, Wangmeng Zuo, Weiping Ding:
Network pruning via probing the importance of filters. Int. J. Mach. Learn. Cybern. 13(9): 2403-2414 (2022) - [j53]Yunhao Li, Mingwen Shao, Bingbing Fan, Wei Zhang:
Multi-scale global context feature pyramid network for object detector. Signal Image Video Process. 16(3): 705-713 (2022) - [j52]Chao Wang, Mingwen Shao, Deyu Meng, Wangmeng Zuo:
Dual-Pyramidal Image Inpainting With Dynamic Normalization. IEEE Trans. Circuits Syst. Video Technol. 32(9): 5975-5988 (2022) - [j51]Mingwen Shao, Chao Wang, Wangmeng Zuo, Deyu Meng:
Efficient Pyramidal GAN for Versatile Missing Data Reconstruction in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [c17]Zhiyong Hu, Mingwen Shao, Meishe Liang:
Rule Acquisition in Generalized One-Sided Decision Systems. IJCRS 2022: 176-190 - 2021
- [j50]Mingwen Shao, Le Li, Hong Wang, Deyu Meng:
Selective generative adversarial network for raindrop removal from a single image. Neurocomputing 426: 265-273 (2021) - [j49]Mingwen Shao, Gaozhi Zhang, Wangmeng Zuo, Deyu Meng:
Target attack on biomedical image segmentation model based on multi-scale gradients. Inf. Sci. 554: 33-46 (2021) - [j48]Mingwen Shao, Youcai Zhang, Yuan Fan, Wangmeng Zuo, Deyu Meng:
IIT-GAT: Instance-level image transformation via unsupervised generative attention networks with disentangled representations. Knowl. Based Syst. 225: 107122 (2021) - [j47]Chao Wang, Hao-Zhen Shen, Fan Fan, Ming-Wen Shao, Chuan-Sheng Yang, Jiancheng Luo, Liang-Jian Deng:
EAA-Net: A novel edge assisted attention network for single image dehazing. Knowl. Based Syst. 228: 107279 (2021) - [j46]Mingwen Shao, Youcai Zhang, Huan Liu, Chao Wang, Le Li, Xun Shao:
DMDIT: Diverse multi-domain image-to-image translation. Knowl. Based Syst. 229: 107311 (2021) - [j45]Mingwen Shao, Shuqi Liu, Ran Wang, Gaozhi Zhang:
An Adversarial sample defense method based on multi-scale GAN. Int. J. Mach. Learn. Cybern. 12(12): 3437-3447 (2021) - [j44]Mingwen Shao, Junhui Dai, Jiandong Kuang, Deyu Meng:
A dynamic CNN pruning method based on matrix similarity. Signal Image Video Process. 15(2): 381-389 (2021) - [j43]Hong Liang, Junlong Yang, Mingwen Shao:
FE-RetinaNet: Small Target Detection with Parallel Multi-Scale Feature Enhancement. Symmetry 13(6): 950 (2021) - [j42]Ming-Wen Shao, Le Li, Deyu Meng, Wangmeng Zuo:
Uncertainty Guided Multi-Scale Attention Network for Raindrop Removal From a Single Image. IEEE Trans. Image Process. 30: 4828-4839 (2021) - 2020
- [j41]Yiwei Wei, Leiquan Wang, Haiwen Cao, Mingwen Shao, Chunlei Wu:
Multi-Attention Generative Adversarial Network for image captioning. Neurocomputing 387: 91-99 (2020) - [j40]Shuqi Liu, Mingwen Shao, Xinping Liu:
GAN-based classifier protection against adversarial attacks. J. Intell. Fuzzy Syst. 39(5): 7085-7095 (2020) - [j39]Ming-Wen Shao, Wei-Zhi Wu, Xi-Zhao Wang, Changzhong Wang:
Knowledge reduction methods of covering approximate spaces based on concept lattice. Knowl. Based Syst. 191: 105269 (2020) - [j38]Mingwen Shao, Wentao Zhang, Wangmeng Zuo, Deyu Meng:
Multi-scale generative adversarial inpainting network based on cross-layer attention transfer mechanism. Knowl. Based Syst. 196: 105778 (2020) - [j37]Ming-Wen Shao, Meng-Meng Lv, Kenwen Li, Chang-Zhong Wang:
The construction of attribute (object)-oriented multi-granularity concept lattices. Int. J. Mach. Learn. Cybern. 11(5): 1017-1032 (2020) - [j36]Yuan Fan, Mingwen Shao, Wangmeng Zuo, Qingyun Li:
Unsupervised image-to-image translation using intra-domain reconstruction loss. Int. J. Mach. Learn. Cybern. 11(9): 2077-2088 (2020) - [j35]Xiaoxia Song, Mingwen Shao, Wangmeng Zuo, Cunhe Li:
Face attribute editing based on generative adversarial networks. Signal Image Video Process. 14(6): 1217-1225 (2020) - [j34]Changzhong Wang, Yang Huang, Mingwen Shao, Qinghua Hu, Degang Chen:
Feature Selection Based on Neighborhood Self-Information. IEEE Trans. Cybern. 50(9): 4031-4042 (2020) - [j33]Changzhong Wang, Yan Wang, Mingwen Shao, Yuhua Qian, Degang Chen:
Fuzzy Rough Attribute Reduction for Categorical Data. IEEE Trans. Fuzzy Syst. 28(5): 818-830 (2020)
2010 – 2019
- 2019
- [j32]Changzhong Wang, Yang Huang, Mingwen Shao, Degang Chen:
Uncertainty measures for general fuzzy relations. Fuzzy Sets Syst. 360: 82-96 (2019) - [j31]Changzhong Wang, Yunpeng Shi, Xiaodong Fan, Mingwen Shao:
Attribute reduction based on k-nearest neighborhood rough sets. Int. J. Approx. Reason. 106: 18-31 (2019) - [j30]Ming-Wen Shao, Wei-Zhi Wu, Changzhong Wang:
Axiomatic characterizations of adjoint generalized (dual) concept systems. J. Intell. Fuzzy Syst. 37(3): 3629-3638 (2019) - [j29]Changzhong Wang, Yang Huang, Mingwen Shao, Xiaodong Fan:
Fuzzy rough set-based attribute reduction using distance measures. Knowl. Based Syst. 164: 205-212 (2019) - [j28]Wei-Zhi Wu, Ming-Wen Shao, Xia Wang:
Using single axioms to characterize (S, T)-intuitionistic fuzzy rough approximation operators. Int. J. Mach. Learn. Cybern. 10(1): 27-42 (2019) - [j27]Kewen Li, Guangyue Zhou, Jiannan Zhai, Fulai Li, Mingwen Shao:
Improved PSO_AdaBoost Ensemble Algorithm for Imbalanced Data. Sensors 19(6): 1476 (2019) - [j26]Changzhong Wang, Yang Huang, Xiaodong Fan, Mingwen Shao:
Homomorphism between ordered decision systems. Soft Comput. 23(2): 365-374 (2019) - 2018
- [j25]Ming-Wen Shao, Li Guo, Changzhong Wang:
Connections between two-universe rough sets and formal concepts. Int. J. Mach. Learn. Cybern. 9(11): 1869-1877 (2018) - [j24]Changzhong Wang, Qiang He, Mingwen Shao, Qinghua Hu:
Feature selection based on maximal neighborhood discernibility. Int. J. Mach. Learn. Cybern. 9(11): 1929-1940 (2018) - 2017
- [j23]Ming-Wen Shao, Kewen Li:
Attribute reduction in generalized one-sided formal contexts. Inf. Sci. 378: 317-327 (2017) - [j22]Changzhong Wang, Qiang He, Mingwen Shao, Yangyang Xu, Qinghua Hu:
A unified information measure for general binary relations. Knowl. Based Syst. 135: 18-28 (2017) - [j21]Weihua Xu, Jinhai Li, Mingwen Shao, Wen-Xiu Zhang:
Editorial. Int. J. Mach. Learn. Cybern. 8(1): 1-2 (2017) - [j20]Xin Li, Ming-Wen Shao, Xing-Min Zhao:
Constructing lattice based on irreducible concepts. Int. J. Mach. Learn. Cybern. 8(1): 109-122 (2017) - [j19]Faming Gong, Ming-Wen Shao, Guofang Qiu:
Concept granular computing systems and their approximation operators. Int. J. Mach. Learn. Cybern. 8(2): 627-640 (2017) - [j18]Kewen Li, Ming-Wen Shao, Wei-Zhi Wu:
A data reduction method in formal fuzzy contexts. Int. J. Mach. Learn. Cybern. 8(4): 1145-1155 (2017) - [j17]Kewen Li, Lu Liu, Jiannan Zhai, Taghi M. Khoshgoftaar, Mingwen Shao, Wenying Liu:
Reliability Evaluation Model of Component-Based Software Based on Complex Network Theory. Qual. Reliab. Eng. Int. 33(3): 543-550 (2017) - [j16]Changzhong Wang, Yali Qi, Mingwen Shao, Qinghua Hu, Degang Chen, Yuhua Qian, Yaojin Lin:
A Fitting Model for Feature Selection With Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. 25(4): 741-753 (2017) - 2016
- [j15]Wei-Zhi Wu, You-Hong Xu, Ming-Wen Shao, Guoyin Wang:
Axiomatic characterizations of (S, T)-fuzzy rough approximation operators. Inf. Sci. 334-335: 17-43 (2016) - [j14]Changzhong Wang, Mingwen Shao, Qiang He, Yuhua Qian, Yali Qi:
Feature subset selection based on fuzzy neighborhood rough sets. Knowl. Based Syst. 111: 173-179 (2016) - [j13]Ming-Wen Shao, Yee Leung, Xi-Zhao Wang, Wei-Zhi Wu:
Granular reducts of formal fuzzy contexts. Knowl. Based Syst. 114: 156-166 (2016) - 2015
- [j12]Changzhong Wang, Mingwen Shao, Baiqing Sun, Qinghua Hu:
An improved attribute reduction scheme with covering based rough sets. Appl. Soft Comput. 26: 235-243 (2015) - [j11]Kewen Li, Wenying Liu, Kang Zhao, Mingwen Shao, Lu Liu:
A Novel Dynamic Weight Neural Network Ensemble Model. Int. J. Distributed Sens. Networks 11: 862056:1-862056:13 (2015) - [j10]Ming-Wen Shao, Hong-Zhi Yang, Wei-Zhi Wu:
Knowledge reduction in formal fuzzy contexts. Knowl. Based Syst. 73: 265-275 (2015) - [c16]Lu Liu, Kewen Li, Mingwen Shao, Wenying Liu:
Fuzzy Integral Based on Mutual Information for Software Defect Prediction. CCBD 2015: 93-96 - [c15]Ming-Wen Shao, Kewen Li:
A new type of generalized one-sided concept lattices and its knowledge reduction. ICMLC 2015: 265-270 - 2014
- [j9]Ming-Wen Shao, Yee Leung, Wei-Zhi Wu:
Rule acquisition and complexity reduction in formal decision contexts. Int. J. Approx. Reason. 55(1): 259-274 (2014) - [j8]Ming-Wen Shao, Yee Leung:
Relations between granular reduct and dominance reduct in formal contexts. Knowl. Based Syst. 65: 1-11 (2014) - [c14]Xiangrui Liu, Mingwen Shao:
Approachs to Computing Maximal Consistent Block. ICMLC (CCIS volume) 2014: 264-274 - 2013
- [j7]Mingwen Shao, Min Liu, Li Guo:
Vector-based Attribute Reduction Method for Formal Contexts. Fundam. Informaticae 126(4): 397-414 (2013) - [j6]Wei-Zhi Wu, Yee Leung, Ming-Wen Shao:
Generalized fuzzy rough approximation operators determined by fuzzy implicators. Int. J. Approx. Reason. 54(9): 1388-1409 (2013) - [j5]Mingwen Shao, Hong-Zhi Yang:
Two kinds of multi-level formal concepts and its application for sets approximations. Int. J. Mach. Learn. Cybern. 4(6): 621-630 (2013) - [c13]Eric C. C. Tsang, Ming-Wen Shao:
Attribute reduction and attribute characteristics of formal contexts. ICMLC 2013: 124-129 - 2012
- [c12]Ming-Wen Shao, Min Liu, Jinghua Hao:
Attribute characteristics of combined formal contexts. CCIS 2012: 164-169 - 2011
- [j4]Hong-Zhi Yang, Yee Leung, Ming-Wen Shao:
Rule acquisition and attribute reduction in real decision formal contexts. Soft Comput. 15(6): 1115-1128 (2011) - [c11]Mingwen Shao, Li Guo, Lan Li:
A Novel Attribute Reduction Approach Based on the Object Oriented Concept Lattice. RSKT 2011: 71-80
2000 – 2009
- 2009
- [c10]Ming-Wen Shao, Fang-Gang Wu:
Maximal Dominance Link technique for knowledge aquisition in ordered information system. GrC 2009: 488-492 - 2008
- [c9]Hong-Zhi Yang, Ming-Wen Shao:
Attribute Characters of Formal Contexts under Homomorphisms. GrC 2008: 724-729 - 2007
- [j3]Min Liu, Ming-Wen Shao, Wen-Xiu Zhang, Cheng Wu:
Reduction method for concept lattices based on rough set theory and its application. Comput. Math. Appl. 53(9): 1390-1410 (2007) - [j2]Ming-Wen Shao, Min Liu, Wen-Xiu Zhang:
Set approximations in fuzzy formal concept analysis. Fuzzy Sets Syst. 158(23): 2627-2640 (2007) - [c8]Ming-Wen Shao, Chang-Xuan Wan:
Multi-level Formal Concepts in Fuzzy Formal Contexts. GrC 2007: 105-109 - [c7]Ming-Wen Shao:
The Approximation Operators Within Formal Contexts. MUE 2007: 1016-1020 - [c6]Hong-Zhi Yang, Ming-Wen Shao:
Two Types of Generalized Variable Precision Formal Concepts. RSEISP 2007: 658-667 - [c5]Ming-Wen Shao:
A Complete Method to Incomplete Information Systems. RSKT 2007: 50-59 - [c4]Ming-Wen Shao, Hong-Zhi Yang, Shi-Qing Fan:
Set Approximations in Multi-level Conceptual Data. RSKT 2007: 355-363 - 2006
- [c3]Wei-Hua Xu, Ming-Wen Shao, Wen-Xiu Zhang:
Knowledge Reduction Based on Evidence Reasoning Theory in Ordered Information Systems. KSEM 2006: 535-547 - [c2]Ming-Wen Shao, Min Liu, Wen-Xiu Zhang:
Rough Fuzzy Set Approximations in Fuzzy Formal Contexts. RSCTC 2006: 137-146 - 2005
- [j1]Ming-Wen Shao, Wen-Xiu Zhang:
Dominance relation and rules in an incomplete ordered information system. Int. J. Intell. Syst. 20(1): 13-27 (2005) - [c1]Ming-Wen Shao, Wen-Xiu Zhang:
Approximation in Formal Concept Analysis. RSFDGrC (1) 2005: 43-53
Coauthor Index
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