Zekang Bian

According to our database, Zekang Bian authored at least 21 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Fuzzy Ensemble Clustering Method via Learning Enhanced Fuzzy Connective Matrices.

Zekang Bian, Qidong Dai, Jia Qu, Te Zhang, Zhibin Jiang, Jie Zhou, Zhaohong Deng, Shitong Wang

IEEE Trans. Fuzzy Syst., May, 2026

Parameter-free ensemble clustering framework with three-level dynamic weighting mechanism.

Jia Qu, Qidong Dai, Zekang Bian, Suhang Gu

Neurocomputing, 2026

2025

One-Step Fuzzy Ensemble Clustering Method via Embedding Ground-Truth Cluster Number Graphs.

Zekang Bian, Jia Qu, Zhaohong Deng, Shitong Wang

IEEE Trans. Fuzzy Syst., September, 2025

Microbe Drug Association Prediction with Bernoulli Random Forests.

Jia Qu, Qing-Nuo Li, Zihao Song, Jin-Cheng Zhao, Qing-Gang Bu, Zekang Bian, Wan-Ling Xie

J. Comput. Biol., 2025

An ensemble clustering method via learning the CA matrix with fuzzy neighbors.

Zekang Bian, Linbiao Yu, Jia Qu, Zhaohong Deng, Shitong Wang

Inf. Fusion, 2025

Recognition of MI-EEG signals using extended-LSR-based inductive transfer learning.

Zhibin Jiang, Keli Hu, Jia Qu, Zekang Bian, Donghua Yu, Jie Zhou

Frontiers Neuroinformatics, 2025

A novel adversarial deep TSK fuzzy classifier with its inverse-free fast training.

Limin Mao, Hangming Shi, Yongxin Chou, Jinliang Cong, Mingli Lu, Zekang Bian, Suhang Gu

Complex Intell. Syst., 2025

2024

Residual Sketch Learning for a Feature-Importance-Based and Linguistically Interpretable Ensemble Classifier.

Zekang Bian, Jin Zhang, Fu-Lai Chung, Shitong Wang

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Deep adversarial reconstruction classification network for unsupervised domain adaptation.

Jiawei Lin, Zekang Bian, Shitong Wang

Int. J. Mach. Learn. Cybern., June, 2024

Weighted adaptively ensemble clustering method based on fuzzy Co-association matrix.

Zekang Bian, Jia Qu, Jie Zhou, Zhibin Jiang, Shitong Wang

Inf. Fusion, March, 2024

Style linear <i>k</i>-nearest neighbor classification method.

Jin Zhang, Zekang Bian, Shitong Wang

Appl. Soft Comput., January, 2024

Three-layer heterogeneous network based on the integration of CircRNA information for MiRNA-disease association prediction.

Jia Qu, Shuting Liu, Han Li, Jie Zhou, Zekang Bian, Zihao Song, Zhibin Jiang

PeerJ Comput. Sci., 2024

Bayes-Decisive Linear KNN with Adaptive Nearest Neighbors.

Jin Zhang, Zekang Bian, Shitong Wang

Int. J. Intell. Syst., 2024

Shared style linear k nearest neighbor classification method.

Jin Zhang, Zekang Bian, Shitong Wang

Expert Syst. Appl., 2024

2023

Hybrid-ensemble-based interpretable TSK fuzzy classifier for imbalanced data.

Zekang Bian, Jin Zhang, Yusuke Nojima, Fu-Lai Chung, Shitong Wang

Inf. Fusion, 2023

2022

Enhanced Fuzzy Random Forest by Using Doubly Randomness and Copying From Dynamic Dictionary Attributes.

Zekang Bian, Fu-Lai Chung, Shitong Wang

IEEE Trans. Fuzzy Syst., 2022

Fuzzy KNN Method With Adaptive Nearest Neighbors.

Zekang Bian, Chi-Man Vong, Pak-Kin Wong, Shitong Wang

IEEE Trans. Cybern., 2022

Self-paced and Bayes-decision-rule linear KNN prediction.

Jin Zhang, Zekang Bian, Shitong Wang

Int. J. Mach. Learn. Cybern., 2022

2021

Fuzzy Density Peaks Clustering.

Zekang Bian, Fu-Lai Chung, Shitong Wang

IEEE Trans. Fuzzy Syst., 2021

2020

Multi-view local linear KNN classification: theoretical and experimental studies on image classification.

Zhibin Jiang, Zekang Bian, Shitong Wang

Int. J. Mach. Learn. Cybern., 2020

2019

Joint Learning of Spectral Clustering Structure and Fuzzy Similarity Matrix of Data.

Zekang Bian, Hisao Ishibuchi, Shitong Wang

IEEE Trans. Fuzzy Syst., 2019