49 citations · 54 across the 9 of their papers we have counts for
9 papers
Diffusion Fuzzy System: Fuzzy Rule Guided Latent Multi-Path Diffusion Modeling
Hailong Yang, Te Zhang, Kup-sze Choi +1
Diffusion models have emerged as a leading technique for generating images due to their ability to create high-resolution and realistic images. Despite their strong performance, di…
Fuzzy Label: From Concept to Its Application in Label Learning
Chenxi Luoa, Zhuangzhuang Zhaoa, Zhaohong Denga +1
Label learning is a fundamental task in machine learning that aims to construct intelligent models using labeled data, encompassing traditional single-label and multi-label classif…
DRIMV_TSK: An Interpretable Surgical Evaluation Model for Incomplete Multi-View Rectal Cancer Data
Wei Zhang, Zi Wang, Hanwen Zhou +8
A reliable evaluation of surgical difficulty can improve the success of the treatment for rectal cancer and the current evaluation method is based on clinical data. However, more d…
Multi-view Fuzzy Representation Learning with Rules based Model
Wei Zhang, Zhaohong Deng, Te Zhang +2
Unsupervised multi-view representation learning has been extensively studied for mining multi-view data. However, some critical challenges remain. On the one hand, the existing met…
TSK Fuzzy System Towards Few Labeled Incomplete Multi-View Data Classification
Wei Zhang, Zhaohong Deng, Qiongdan Lou +3
Data collected by multiple methods or from multiple sources is called multi-view data. To make full use of the multi-view data, multi-view learning plays an increasingly important…
Multi-View Fuzzy Clustering with The Alternative Learning between Shared Hidden Space and Partition
Zhaohong Deng, Chen Cui, Peng Xu +4
As the multi-view data grows in the real world, multi-view clus-tering has become a prominent technique in data mining, pattern recognition, and machine learning. How to exploit th…
Multi-view Clustering with the Cooperation of Visible and Hidden Views
Zhaohong Deng, Ruixiu Liu, Te Zhang +4
Multi-view data are becoming common in real-world modeling tasks and many multi-view data clustering algorithms have thus been proposed. The existing algorithms usually focus on th…
Concise Fuzzy System Modeling Integrating Soft Subspace Clustering and Sparse Learning
Peng Xu, Zhaohong Deng, Chen Cui +5
The superior interpretability and uncertainty modeling ability of Takagi-Sugeno-Kang fuzzy system (TSK FS) make it possible to describe complex nonlinear systems intuitively and ef…
Multi-View Fuzzy Logic System with the Cooperation between Visible and Hidden Views
Te Zhang, Zhaohong Deng, Dongrui Wu +1
Multi-view datasets are frequently encountered in learning tasks, such as web data mining and multimedia information analysis. Given a multi-view dataset, traditional learning algo…