activity
20142025
most citedA Survey on Soft Subspace Clustering

116 citations · 130 across the 14 of their papers we have counts for

collaborators

14 papers

cs.LG2025

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…

cs.CV2023★ 3 cited

Cooperation Learning Enhanced Colonic Polyp Segmentation Based on Transformer-CNN Fusion

Yuanyuan Wang, Zhaohong Deng, Qiongdan Lou +3

Traditional segmentation methods for colonic polyps are mainly designed based on low-level features. They could not accurately extract the location of small colonic polyps. Althoug…

cs.AI2022★ 1 cited

Graph Fuzzy System: Concepts, Models and Algorithms

Fuping Hu, Zhaohong Deng, Zhenping Xie +2

Fuzzy systems (FSs) have enjoyed wide applications in various fields, including pattern recognition, intelligent control, data mining and bioinformatics, which is attributed to the…

cs.LG2022★ 2 cited

Dual Representation Learning for One-Step Clustering of Multi-View Data

Wei Zhang, Zhaohong Deng, Kup-Sze Choi +2

Multi-view data are commonly encountered in data mining applications. Effective extraction of information from multi-view data requires specific design of clustering methods to cat…

eess.SP2021

A Novel TSK Fuzzy System Incorporating Multi-view Collaborative Transfer Learning for Personalized Epileptic EEG Detection

Andong Li, Zhaohong Deng, Qiongdan Lou

In clinical practice, electroencephalography (EEG) plays an important role in the diagnosis of epilepsy. EEG-based computer-aided diagnosis of epilepsy can greatly improve the ac-c…

cs.LG2021

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…