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Journal Articles
- 2025
[j58]Chengmao Wu, Pengfei Gai:
A novel joint learning framework combining fuzzy C-multiple-means clustering and spectral clustering for superpixel-based image segmentation. Digit. Signal Process. 161: 105083 (2025)- [j57]Chengmao Wu
, Yulong Gao:
Fast multiplicative fuzzy partition C-means clustering with a new membership scaling scheme. Eng. Appl. Artif. Intell. 142: 109854 (2025) - [j56]Chengmao Wu, Jia Zheng:
Wasserstein distance-based fuzzy C-means clustering in Riemannian manifold feature space for image segmentation. Signal Image Video Process. 19(1): 123 (2025) - 2024
- [j55]Chengmao Wu, Wen Wu:
Robust Possibilistic Fuzzy Additive Partition Clustering Motivated by Deep Local Information. Circuits Syst. Signal Process. 43(12): 7662-7713 (2024) - [j54]Chengmao Wu, Tairong Liu:
Interval type-2 possibilistic picture C-means clustering incorporating local information for noisy image segmentation. Digit. Signal Process. 149: 104492 (2024) - [j53]Chengmao Wu, Meng Li:
Generalized multiplicative fuzzy possibilistic product partition C-means clustering. Inf. Sci. 670: 120588 (2024) - [j52]Chengmao Wu, Zeren Wang:
Quadratic surface center-based possibilistic fuzzy clustering with kernel metric and local information for image segmentation. Multim. Tools Appl. 83(15): 44147-44191 (2024) - [j51]Chengmao Wu, Xiao Qi:
Reconstruction-Aware Kernelized Fuzzy Clustering Framework Incorporating Local Information for Image Segmentation. Neural Process. Lett. 56(2): 123 (2024) - [j50]Chengmao Wu, Jingtian Zhao:
Joint learning framework of superpixel generation and fuzzy sparse subspace clustering for color image segmentation. Signal Process. 222: 109515 (2024) - [j49]Chengmao Wu, Jingtian Zhao:
Robust joint learning of superpixel generation and superpixel-based image segmentation using fuzzy C-multiple-means clustering. Signal Image Video Process. 18(3): 2345-2354 (2024) - [j48]Chengmao Wu, Jiale Zhang:
One-Step Joint Learning of Self-Supervised Spectral Clustering With Anchor Graph and Fuzzy Clustering for Land Cover Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 11178-11193 (2024) - [j47]Chengmao Wu, Wen Wu:
Master-slave hierarchy local information driven fuzzy C-means clustering for noisy image segmentation. Vis. Comput. 40(2): 865-897 (2024) - [j46]Chengmao Wu, Siyun Peng, Xialu Zhang:
Robust interval type-2 kernel-based possibilistic fuzzy deep local information clustering driven by Lambert-W function. Vis. Comput. 40(3): 2161-2201 (2024) - [j45]Chengmao Wu, Jingtian Zhao:
Robust superpixel-based fuzzy possibilistic clustering method incorporating local information for image segmentation. Vis. Comput. 40(11): 7961-8000 (2024) - 2023
- [j44]Chengmao Wu, Siyun Peng:
Robust interval type-2 kernel-based possibilistic fuzzy clustering algorithm incorporating local and non-local information. Adv. Eng. Softw. 176: 103377 (2023) - [j43]Lujia Lei, Chengmao Wu, Xiaoping Tian:
Robust deep kernel-based fuzzy clustering with spatial information for image segmentation. Appl. Intell. 53(1): 23-48 (2023) - [j42]Chengmao Wu, Zeren Wang:
Robust fuzzy dual-local information clustering with kernel metric and quadratic surface prototype for image segmentation. Appl. Intell. 53(3): 3351-3380 (2023) - [j41]Chengmao Wu, Congcong Huang, Jiajia Zhang:
Local Information-Driven Intuitionistic Fuzzy C-Means Algorithm Integrating Total Bregman Divergence and Kernel Metric for Noisy Image Segmentation. Circuits Syst. Signal Process. 42(3): 1522-1572 (2023) - [j40]Chengmao Wu, Xiaokang Guo:
Adaptive enhanced interval type-2 possibilistic fuzzy local information clustering with dual-distance for land cover classification. Eng. Appl. Artif. Intell. 119: 105806 (2023) - [j39]Chengmao Wu, Dongxue Yu:
Generalized possibilistic c-means clustering with double weighting exponents. Inf. Sci. 645: 119283 (2023) - [j38]Chengmao Wu, Xiao Qi:
Local feature driven fuzzy local information C-means clustering with kernel metric for blurred and noisy image segmentation. J. Real Time Image Process. 20(6): 116 (2023) - [j37]Chengmao Wu, Jiajia Zhang, Congcong Huang:
Robust dynamic semi-supervised picture fuzzy local information clustering with kernel metric and spatial information for noisy image segmentation. Multim. Tools Appl. 82(21): 31869-31911 (2023) - [j36]Chengmao Wu, Siyun Peng:
Deep neighborhood structure driven interval type-2 kernel fuzzy c-means clustering with local versus non-local information. Multim. Tools Appl. 82(28): 43455-43515 (2023) - [j35]Chengmao Wu, Xialu Zhang, Shuai Yan:
Parameter-Free Auto-Weighted Possibilistic Fuzzy C-Means Clustering with Kernel Metric and Robust Algorithm. SN Comput. Sci. 4(4): 411 (2023) - [j34]Chengmao Wu, Congcong Huang, Jiajia Zhang:
Intuitionistic fuzzy information-driven total Bregman divergence fuzzy clustering with multiple local information constraints for image segmentation. Vis. Comput. 39(1): 149-181 (2023) - [j33]Pengfei Fang, Han Liu, Chengmao Wu, Min Liu:
A survey of image encryption algorithms based on chaotic system. Vis. Comput. 39(5): 1975-2003 (2023) - 2022
- [j32]Qiuyu Song, Chengmao Wu, Xiaoping Tian, Yue Song, Xiaokang Guo:
A novel self-learning weighted fuzzy local information clustering algorithm integrating local and non-local spatial information for noise image segmentation. Appl. Intell. 52(6): 6376-6397 (2022) - [j31]Zhenxian Lin, Jiagang Wang, Chengmao Wu:
Robust Spectral Clustering Incorporating Statistical Sub-Graph Affinity Model. Axioms 11(6): 269 (2022) - [j30]Chengmao Wu, Jiajia Zhang, Congcong Huang, Xiaokang Guo:
Robust Dynamic Semi-supervised Picture Fuzzy Clustering with KL Divergence and Local Information. Cogn. Comput. 14(3): 970-988 (2022) - [j29]Qiuyu Song, Chengmao Wu, Xiaoping Tian, Yue Song, Xiaokang Guo:
Kernel-based fuzzy local information clustering algorithm self-integrating non-local information. Digit. Signal Process. 122: 103351 (2022) - [j28]Chengmao Wu, Zeren Wang:
A modified fuzzy dual-local information c-mean clustering algorithm using quadratic surface as prototype for image segmentation. Expert Syst. Appl. 201: 117019 (2022) - [j27]Chengmao Wu, Xialu Zhang:
A self-learning iterative weighted possibilistic fuzzy c-means clustering via adaptive fusion. Expert Syst. Appl. 209: 118280 (2022) - [j26]Han Liu, Chengmao Wu, Changxing Li, Yanqun Zuo:
Fast robust fuzzy clustering based on bipartite graph for hyper-spectral image classification. IET Image Process. 16(13): 3634-3647 (2022) - [j25]Chengmao Wu, Xiaokang Guo:
A novel interval-valued data driven type-2 possibilistic local information c-means clustering for land cover classification. Int. J. Approx. Reason. 148: 80-116 (2022) - [j24]Chengmao Wu, Jiajia Zhang:
Robust semi-supervised spatial picture fuzzy clustering with local membership and KL-divergence for image segmentation. Int. J. Mach. Learn. Cybern. 13(4): 963-987 (2022) - [j23]Pengfei Fang, Han Liu, Chengmao Wu, Min Liu:
A block image encryption algorithm based on a hyperchaotic system and generative adversarial networks. Multim. Tools Appl. 81(15): 21811-21857 (2022) - [j22]Chengmao Wu, Xue Zhang:
Total Bregman divergence-driven possibilistic fuzzy clustering with kernel metric and local information for grayscale image segmentation. Pattern Recognit. 128: 108686 (2022) - [j21]Chengmao Wu, Xue Zhang:
A Novel Kernelized Total Bregman Divergence-Driven Possibilistic Fuzzy Clustering With Multiple Information Constraints for Image Segmentation. IEEE Trans. Fuzzy Syst. 30(6): 1624-1639 (2022) - 2021
- [j20]Pengfei Fang, Han Liu, Chengmao Wu:
A Novel Chaotic Block Image Encryption Algorithm Based on Deep Convolutional Generative Adversarial Networks. IEEE Access 9: 18497-18517 (2021) - [j19]Chengmao Wu, Zhiqin Kang:
Robust entropy-based symmetric regularized picture fuzzy clustering for image segmentation. Digit. Signal Process. 110: 102905 (2021) - [j18]Chengmao Wu, Zhuo Cao:
Noise distance driven fuzzy clustering based on adaptive weighted local information and entropy-like divergence kernel for robust image segmentation. Digit. Signal Process. 111: 102963 (2021) - [j17]Chengmao Wu, Zeren Wang:
A robust kernel-based fuzzy local neighborhood clustering with quadratic polynomial-center clusters. Digit. Signal Process. 118: 103200 (2021) - [j16]Chengmao Wu, Zhuo Cao:
Entropy-like Divergence Based Kernel Fuzzy Clustering for Robust Image Segmentation. Expert Syst. Appl. 169: 114327 (2021) - [j15]Chengmao Wu, Xue Zhang:
A novel kernelized total Bregman divergence-based fuzzy clustering with local information for image segmentation. Int. J. Approx. Reason. 136: 281-305 (2021) - [j14]Chao Kang, Chengmao Wu, Jiulun Fan:
Entropy-based circular histogram thresholding for color image segmentation. Signal Image Video Process. 15(1): 129-138 (2021) - [j13]Chengmao Wu, Na Liu:
Suppressed robust picture fuzzy clustering for image segmentation. Soft Comput. 25(5): 3751-3774 (2021) - [j12]Chengmao Wu, Xiaokang Guo:
A Novel Single Fuzzifier Interval Type-2 Fuzzy C-Means Clustering With Local Information for Land-Cover Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 5903-5917 (2021) - 2020
- [j11]Chao Kang, Chengmao Wu, Jiulun Fan:
Lorenz Curve-Based Entropy Thresholding on Circular Histogram. IEEE Access 8: 17025-17038 (2020) - [j10]Chengmao Wu, Yan Chen:
Adaptive entropy weighted picture fuzzy clustering algorithm with spatial information for image segmentation. Appl. Soft Comput. 86 (2020) - [j9]Chengmao Wu, Xue Zhang:
Total Bregman divergence-based fuzzy local information C-means clustering for robust image segmentation. Appl. Soft Comput. 94: 106468 (2020) - [j8]Chengmao Wu, Xiaoqiang Yang:
Robust credibilistic fuzzy local information clustering with spatial information constraints. Digit. Signal Process. 97 (2020) - [j7]Chengmao Wu, Na Liu:
Robust Suppressed Competitive Picture Fuzzy Clustering Driven by Entropy. Int. J. Fuzzy Syst. 22(8): 2466-2492 (2020) - [j6]Chengmao Wu, Xiaoqiang Yang:
Robust credibilistic intuitionistic fuzzy clustering for image segmentation. Soft Comput. 24(14): 10903-10932 (2020) - 2018
- [j5]Qiannan Cui, Xiaoping Tian, Chengmao Wu:
基于引导滤波改进的暗原色去雾算法 (Improved Algorithm of Haze Removal Based on Guided Filtering and Dark Channel Prior). 计算机科学 45(5): 285-290 (2018) - 2016
- [j4]Xiaofan Hou, Chengmao Wu:
一种快速的模糊局部C-均值聚类分割算法 (Fast Fuzzy Local Information C-means Clustering Segmentation Algorithm). 计算机科学 43(10): 297-303 (2016) - 2015
- [j3]Xiaorong Zhang, Chengmao Wu, Wenxue Li:
基于混沌与自编码相融合的扩频码构造方法 (Method of Constructing Spread-spectrum Code Based on Chaos and Self-coded). 计算机科学 42(3): 42-46 (2015) - [j2]Jice Wang, Chengmao Wu:
基于全散度的变分CV模型及其分割算法 (Variational CV Model Based on Total Bregman Divergence and its Segmentation Algorithm). 计算机科学 42(4): 306-310 (2015) - [j1]Mengjiao Liu, Chengmao Wu:
一种改进的局部模糊C-均值聚类分割算法研究 (Research on Improved Local Fuzzy C-means Clustering Segmentation Algorithm). 计算机科学 42(Z6): 190-194 (2015)
Conference and Workshop Papers
- 2022
- [c1]Chenchen Liu, Chengmao Wu:
Transmission Efficiency Analysis and Data Calculation of vue.js Component in Front and Back Interaction Process. CIPAE 2022: 12-15
Coauthor Index
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