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Chengmao Wu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Other persons with the same name
- Chengmao Wu 0001
— Xi'an University of Posts and Telecommunications, School of Electronic Engineering, China
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2020 – today
- 2026
[j40]Chengmao Wu, Jun Hou:
Asymmetric deviation entropy regularization for semi-supervised fuzzy C-means clustering and its fast Algorithm. Big Data Res. 43: 100586 (2026)
[j39]Chengmao Wu, Jun Hou
:
New semi-supervised fuzzy C-means clustering with asymmetric deviation constraints and fast algorithm. Expert Syst. Appl. 298: 129648 (2026)- 2025
[j38]Chengmao Wu, Sifan Pan:
Fuzzy C-Poincaré Fréchet means clustering in hyperbolic space. Expert Syst. Appl. 288: 128245 (2025)
[j37]Chengmao Wu, Yulong Gao:
Generalized multiplicative interval type-2 fuzzy partition C-means clustering. Inf. Sci. 718: 122356 (2025)
[j36]Xiumei Cai, Huarong Jing, Chengmao Wu, Liping Song:
Robust self-weighting multi-view fuzzy clustering for image segmentation. J. Intell. Fuzzy Syst. 48(1-2): 151-167 (2025)
[j35]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
[j34]Chengmao Wu, Meng Li
:
Generalized multiplicative fuzzy possibilistic product partition C-means clustering. Inf. Sci. 670: 120588 (2024)
[j33]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)
[j32]Chengmao Wu, Siyu Zhou
:
Robust Harmonic Fuzzy Partition Local Information C-Means Clustering for Image Segmentation. Symmetry 16(10): 1370 (2024)- 2023
[j31]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)
[j30]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)
[j29]Chengmao Wu, Dongxue Yu
:
Generalized possibilistic c-means clustering with double weighting exponents. Inf. Sci. 645: 119283 (2023)- 2022
[j28]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)
[j27]Zhenxian Lin, Jiagang Wang
, Chengmao Wu:
Robust Spectral Clustering Incorporating Statistical Sub-Graph Affinity Model. Axioms 11(6): 269 (2022)
[j26]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)
[j25]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)
[j24]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)
[j23]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)
[j22]CaiCai Qiao
, Chengmao Wu, ChangXing Li, JiaYe Wang:
Guided filter-driven kernel fuzzy clustering with local information for noise image segmentation. Multim. Tools Appl. 81(20): 28431-28477 (2022)
[j21]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)
[j20]CaiCai Qiao
, Chengmao Wu, ChangXing Li, JiaYe Wang:
Robust fuzzy clustering algorithms integrating membership guided image filtering. Signal Image Video Process. 16(7): 1851-1859 (2022)
[j19]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)
[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- 2021
[j18]Chengmao Wu, Zhiqin Kang:
Robust entropy-based symmetric regularized picture fuzzy clustering for image segmentation. Digit. Signal Process. 110: 102905 (2021)
[j17]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)
[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)
2010 – 2019
- 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)
Coauthor Index

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last updated on 2026-01-22 00:21 CET by the dblp team
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