Chengmao Wu

31 papers Journal 31
YearRankTypeTitle / Venue / Authors
2025 J jnl
A new approach to incorporate log-local information into improved kernel possibilistic C-means clustering with spatial constraints for image segmentation.
Multim. Tools Appl.
Chengmao Wu, Mingjie Guo
2025 J jnl
A novel joint learning framework combining fuzzy C-multiple-means clustering and spectral clustering for superpixel-based image segmentation.
Digit. Signal Process.
Chengmao Wu, Pengfei Gai
2025 J jnl
A novel multi-means joint learning framework based on fuzzy clustering and self-constrained spectral clustering for superpixel image segmentation.
Comput. Electr. Eng.
Chengmao Wu, Pengfei Gai
2025 J jnl
An enhanced harmonic fuzzy partition clustering algorithm incorporating a novel membership modification strategy.
J. Supercomput.
Chengmao Wu, Xiaomin Wang
2025 J jnl
Fast multiplicative fuzzy partition C-means clustering with a new membership scaling scheme.
Eng. Appl. Artif. Intell.
Chengmao Wu, Yulong Gao
2025 J jnl
Generalized harmonic fuzzy partition C-means clustering.
J. Supercomput.
Chengmao Wu, Siyu Zhou
2025 J jnl
Possibilistic picture fuzzy product partition C-means clustering incorporating rich local information for medical image segmentation.
Multim. Tools Appl.
Chengmao Wu, Tairong Liu
2024 J jnl
Interval type-2 possibilistic picture C-means clustering incorporating local information for noisy image segmentation.
Digit. Signal Process.
Chengmao Wu, Tairong Liu
2024 J jnl
Joint learning framework of superpixel generation and fuzzy sparse subspace clustering for color image segmentation.
Signal Process.
Chengmao Wu, Jingtian Zhao
2024 J jnl
Master-slave hierarchy local information driven fuzzy C-means clustering for noisy image segmentation.
Vis. Comput.
Chengmao Wu, Wen Wu
2024 J jnl
Quadratic surface center-based possibilistic fuzzy clustering with kernel metric and local information for image segmentation.
Multim. Tools Appl.
Chengmao Wu, Zeren Wang
2024 J jnl
Reconstruction-Aware Kernelized Fuzzy Clustering Framework Incorporating Local Information for Image Segmentation.
Neural Process. Lett.
Chengmao Wu, Xiao Qi
2024 J jnl
Robust Possibilistic Fuzzy Additive Partition Clustering Motivated by Deep Local Information.
Circuits Syst. Signal Process.
Chengmao Wu, Wen Wu
2024 J jnl
Robust interval type-2 kernel-based possibilistic fuzzy deep local information clustering driven by Lambert-W function.
Vis. Comput.
Chengmao Wu, Siyun Peng, Xialu Zhang
2024 J jnl
Robust joint learning of superpixel generation and superpixel-based image segmentation using fuzzy C-multiple-means clustering.
Signal Image Video Process.
Chengmao Wu, Jingtian Zhao
2024 J jnl
Robust superpixel-based fuzzy possibilistic clustering method incorporating local information for image segmentation.
Vis. Comput.
Chengmao Wu, Jingtian Zhao
2023 J jnl
A survey of image encryption algorithms based on chaotic system.
Vis. Comput.
Pengfei Fang, Han Liu, Chengmao Wu, Min Liu
2023 J jnl
Deep neighborhood structure driven interval type-2 kernel fuzzy c-means clustering with local versus non-local information.
Multim. Tools Appl.
Chengmao Wu, Siyun Peng
2023 J jnl
Intuitionistic fuzzy information-driven total Bregman divergence fuzzy clustering with multiple local information constraints for image segmentation.
Vis. Comput.
Chengmao Wu, Congcong Huang, Jiajia Zhang
2023 J jnl
Local Information-Driven Intuitionistic Fuzzy C-Means Algorithm Integrating Total Bregman Divergence and Kernel Metric for Noisy Image Segmentation.
Circuits Syst. Signal Process.
Chengmao Wu, Congcong Huang, Jiajia Zhang
2023 J jnl
Local feature driven fuzzy local information C-means clustering with kernel metric for blurred and noisy image segmentation.
J. Real Time Image Process.
Chengmao Wu, Xiao Qi
2023 J jnl
Parameter-Free Auto-Weighted Possibilistic Fuzzy C-Means Clustering with Kernel Metric and Robust Algorithm.
SN Comput. Sci.
Chengmao Wu, Xialu Zhang, Shuai Yan
2023 J jnl
Robust dynamic semi-supervised picture fuzzy local information clustering with kernel metric and spatial information for noisy image segmentation.
Multim. Tools Appl.
Chengmao Wu, Jiajia Zhang, Congcong Huang
2023 J jnl
Robust fuzzy dual-local information clustering with kernel metric and quadratic surface prototype for image segmentation.
Appl. Intell.
Chengmao Wu, Zeren Wang
2023 J jnl
Robust interval type-2 kernel-based possibilistic fuzzy clustering algorithm incorporating local and non-local information.
Adv. Eng. Softw.
Chengmao Wu, Siyun Peng
2022 J jnl
A block image encryption algorithm based on a hyperchaotic system and generative adversarial networks.
Multim. Tools Appl.
Pengfei Fang, Han Liu, Chengmao Wu, Min Liu
2022 J jnl
A modified fuzzy dual-local information c-mean clustering algorithm using quadratic surface as prototype for image segmentation.
Expert Syst. Appl.
Chengmao Wu, Zeren Wang
2022 J jnl
A self-learning iterative weighted possibilistic fuzzy c-means clustering via adaptive fusion.
Expert Syst. Appl.
Chengmao Wu, Xialu Zhang
2022 J jnl
Robust Dynamic Semi-supervised Picture Fuzzy Clustering with KL Divergence and Local Information.
Cogn. Comput.
Chengmao Wu, Jiajia Zhang, Congcong Huang, Xiaokang Guo
2021 J jnl
A Novel Chaotic Block Image Encryption Algorithm Based on Deep Convolutional Generative Adversarial Networks.
IEEE Access
Pengfei Fang, Han Liu, Chengmao Wu
2021 J jnl
A robust kernel-based fuzzy local neighborhood clustering with quadratic polynomial-center clusters.
Digit. Signal Process.
Chengmao Wu, Zeren Wang