Zhibin Gu

According to our database, Zhibin Gu authored at least 13 papers between 2019 and 2024.

Collaborative distances:

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

2024

Consensus representation-driven structured graph learning for multi-view clustering.

Zhibin Gu, Songhe Feng, Jiazheng Yuan, Ximing Li

Appl. Intell., September, 2024

NOODLE: Joint Cross-View Discrepancy Discovery and High-Order Correlation Detection for Multi-View Subspace Clustering.

Zhibin Gu, Songhe Feng, Zhendong Li, Jiazheng Yuan, Jun Liu

ACM Trans. Knowl. Discov. Data, July, 2024

One-step graph-based incomplete multi-view clustering.

Baishun Zhou, Jintian Ji, Zhibin Gu, Zihao Zhou, Gangyi Ding, Songhe Feng

Multim. Syst., February, 2024

Topology-Driven Multi-View Clustering via Tensorial Refined Sigmoid Rank Minimization.

Zhibin Gu, Zhendong Li, Songhe Feng

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

EDISON: Enhanced Dictionary-Induced Tensorized Incomplete Multi-View Clustering with Gaussian Error Rank Minimization.

Zhibin Gu, Zhendong Li, Songhe Feng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

ONION: Joint Unsupervised Feature Selection and Robust Subspace Extraction for Graph-based Multi-View Clustering.

Zhibin Gu, Songhe Feng, Ruiting Hu, Gengyu Lyu

ACM Trans. Knowl. Discov. Data, June, 2023

Diversity-induced consensus and structured graph learning for multi-view clustering.

Zhibin Gu, Hongzhe Liu, Songhe Feng

Appl. Intell., May, 2023

Individuality Meets Commonality: A Unified Graph Learning Framework for Multi-View Clustering.

Zhibin Gu, Songhe Feng

ACM Trans. Knowl. Discov. Data, January, 2023

A Unified Framework for Graph-Based Multi-View Partial Multi-Label Learning.

Jiazheng Yuan, Wei Liu, Zhibin Gu, Songhe Feng

IEEE Access, 2023

Triple-Granularity Contrastive Learning for Deep Multi-View Subspace Clustering.

Jing Wang, Songhe Feng, Gengyu Lyu, Zhibin Gu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

Joint Original Space and Latent Space for Multi-view Spectral Clustering.

Ruiting Hu, Zhibin Gu, Songhe Feng

Proceedings of the 13th IEEE International Symposium on Parallel Architectures, 2022

2020

Multi-view adaptive semi-supervised feature selection with the self-paced learning.

Caijuan Shi, Zhibin Gu, Changyu Duan, Qi Tian

Signal Process., 2020

2019

Semi-supervised feature selection analysis with structured multi-view sparse regularization.

Caijuan Shi, Changyu Duan, Zhibin Gu, Qi Tian, Gaoyun An, Ruizhen Zhao

Neurocomputing, 2019