Semi-supervised feature selection analysis with structured multi-view sparse regularization. - Caijuan Shi; Changyu Duan; Zhibin Gu; Qi Tian 001; Gaoyun An; Ruizhen Zhao (Neurocomputing, 2019)

Multi-view adaptive semi-supervised feature selection with the self-paced learning. - Caijuan Shi; Zhibin Gu; Changyu Duan; Qi Tian 001 (Signal Process., 2020)

Joint Original Space and Latent Space for Multi-view Spectral Clustering. - Ruiting Hu; Zhibin Gu; Songhe Feng (PAAP, 2022)

Triple-Granularity Contrastive Learning for Deep Multi-View Subspace Clustering. - Jing Wang 116; Songhe Feng; Gengyu Lyu; Zhibin Gu (ACM Multimedia, 2023)

A Unified Framework for Graph-Based Multi-View Partial Multi-Label Learning. - Jiazheng Yuan; Wei Liu; Zhibin Gu; Songhe Feng (IEEE Access, 2023)

Individuality Meets Commonality: A Unified Graph Learning Framework for Multi-View Clustering. - Zhibin Gu; Songhe Feng (ACM Trans. Knowl. Discov. Data, 2023)

Diversity-induced consensus and structured graph learning for multi-view clustering. - Zhibin Gu; Hongzhe Liu; Songhe Feng (Appl. Intell., 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, 2023)

EDISON: Enhanced Dictionary-Induced Tensorized Incomplete Multi-View Clustering with Gaussian Error Rank Minimization. - Zhibin Gu; Zhendong Li; Songhe Feng (ICML, 2024)

Topology-Driven Multi-View Clustering via Tensorial Refined Sigmoid Rank Minimization. - Zhibin Gu; Zhendong Li; Songhe Feng (KDD, 2024)

From Dictionary to Tensor: A Scalable Multi-View Subspace Clustering Framework with Triple Information Enhancement. - Zhibin Gu; Songhe Feng (NeurIPS, 2024)

One-step graph-based incomplete multi-view clustering. - Baishun Zhou; Jintian Ji; Zhibin Gu; Zihao Zhou; Gangyi Ding; Songhe Feng (Multim. Syst., 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 036 (ACM Trans. Knowl. Discov. Data, 2024)

Consensus representation-driven structured graph learning for multi-view clustering. - Zhibin Gu; Songhe Feng; Jiazheng Yuan; Ximing Li (Appl. Intell., 2024)

KOALA: Kernel Coupling and Element Imputation Induced Multi-View Clustering. - Tingting Wu; Zhendong Li; Zhibin Gu; Jiazheng Yuan; Songhe Feng (AAAI, 2025)