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Chengmao Wu 0001
Person information
- affiliation: Xi'an University of Posts and Telecommunications, School of Electronic Engineering, China
Other persons with the same name
- Chengmao Wu — disambiguation page
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2020 – today
- 2025
[j31]Chengmao Wu, Pengfei Gai:
A novel multi-means joint learning framework based on fuzzy clustering and self-constrained spectral clustering for superpixel image segmentation. Comput. Electr. Eng. 124: 110358 (2025)
[j30]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)
[j29]Chengmao Wu
, Yulong Gao:
Fast multiplicative fuzzy partition C-means clustering with a new membership scaling scheme. Eng. Appl. Artif. Intell. 142: 109854 (2025)
[j28]Chengmao Wu
, Tairong Liu:
Possibilistic picture fuzzy product partition C-means clustering incorporating rich local information for medical image segmentation. Multim. Tools Appl. 84(10): 7665-7716 (2025)
[j27]Chengmao Wu
, Mingjie Guo:
A new approach to incorporate log-local information into improved kernel possibilistic C-means clustering with spatial constraints for image segmentation. Multim. Tools Appl. 84(35): 43751-43784 (2025)
[j26]Chengmao Wu
, Siyu Zhou:
Generalized harmonic fuzzy partition C-means clustering. J. Supercomput. 81(2): 439 (2025)
[j25]Chengmao Wu
, Xiaomin Wang:
An enhanced harmonic fuzzy partition clustering algorithm incorporating a novel membership modification strategy. J. Supercomput. 81(11): 1192 (2025)- 2024
[j24]Chengmao Wu
, Wen Wu
:
Robust Possibilistic Fuzzy Additive Partition Clustering Motivated by Deep Local Information. Circuits Syst. Signal Process. 43(12): 7662-7713 (2024)
[j23]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)
[j22]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)
[j21]Chengmao Wu, Xiao Qi:
Reconstruction-Aware Kernelized Fuzzy Clustering Framework Incorporating Local Information for Image Segmentation. Neural Process. Lett. 56(2): 123 (2024)
[j20]Chengmao Wu
, Jingtian Zhao
:
Joint learning framework of superpixel generation and fuzzy sparse subspace clustering for color image segmentation. Signal Process. 222: 109515 (2024)
[j19]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)
[j18]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)
[j17]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)
[j16]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
[j15]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)
[j14]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)
[j13]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)
[j12]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)
[j11]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)
[j10]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)
[j9]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)
[j8]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)
[j7]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
[j6]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)
[j5]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)
[j4]Chengmao Wu, Xialu Zhang:
A self-learning iterative weighted possibilistic fuzzy c-means clustering via adaptive fusion. Expert Syst. Appl. 209: 118280 (2022)
[j3]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)- 2021
[j2]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)
[j1]Chengmao Wu, Zeren Wang:
A robust kernel-based fuzzy local neighborhood clustering with quadratic polynomial-center clusters. Digit. Signal Process. 118: 103200 (2021)
Coauthor Index

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