Zhibin Gu

16 papers A* 5Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Instance and prototype contrastive learning for multi-view 3D model retrieval and classification.
Inf. Process. Manag.
Yaqian Zhou, Zhenghao Fang, Zhibin Gu, Song Yang, Yan Wang
2025 A* conf
KOALA: Kernel Coupling and Element Imputation Induced Multi-View Clustering.
AAAI
Tingting Wu, Zhendong Li, Zhibin Gu, Jiazheng Yuan, Songhe Feng
2024 J jnl
Consensus representation-driven structured graph learning for multi-view clustering.
Appl. Intell.
Zhibin Gu, Songhe Feng, Jiazheng Yuan, Ximing Li
2024 A* conf
EDISON: Enhanced Dictionary-Induced Tensorized Incomplete Multi-View Clustering with Gaussian Error Rank Minimization.
ICML
Zhibin Gu, Zhendong Li, Songhe Feng
2024 A* conf
From Dictionary to Tensor: A Scalable Multi-View Subspace Clustering Framework with Triple Information Enhancement.
NeurIPS
Zhibin Gu, Songhe Feng
2024 J jnl
NOODLE: Joint Cross-View Discrepancy Discovery and High-Order Correlation Detection for Multi-View Subspace Clustering.
ACM Trans. Knowl. Discov. Data
Zhibin Gu, Songhe Feng, Zhendong Li, Jiazheng Yuan, Jun Liu
2024 J jnl
One-step graph-based incomplete multi-view clustering.
Multim. Syst.
Baishun Zhou, Jintian Ji, Zhibin Gu, Zihao Zhou, Gangyi Ding, Songhe Feng
2024 A* conf
Topology-Driven Multi-View Clustering via Tensorial Refined Sigmoid Rank Minimization.
KDD
Zhibin Gu, Zhendong Li, Songhe Feng
2023 J jnl
A Unified Framework for Graph-Based Multi-View Partial Multi-Label Learning.
IEEE Access
Jiazheng Yuan, Wei Liu, Zhibin Gu, Songhe Feng
2023 J jnl
Diversity-induced consensus and structured graph learning for multi-view clustering.
Appl. Intell.
Zhibin Gu, Hongzhe Liu, Songhe Feng
2023 J jnl
Individuality Meets Commonality: A Unified Graph Learning Framework for Multi-View Clustering.
ACM Trans. Knowl. Discov. Data
Zhibin Gu, Songhe Feng
2023 J jnl
ONION: Joint Unsupervised Feature Selection and Robust Subspace Extraction for Graph-based Multi-View Clustering.
ACM Trans. Knowl. Discov. Data
Zhibin Gu, Songhe Feng, Ruiting Hu, Gengyu Lyu
2023 A* conf
Triple-Granularity Contrastive Learning for Deep Multi-View Subspace Clustering.
ACM Multimedia
Jing Wang, Songhe Feng, Gengyu Lyu, Zhibin Gu
2022 — conf
Joint Original Space and Latent Space for Multi-view Spectral Clustering.
PAAP
Ruiting Hu, Zhibin Gu, Songhe Feng
2020 J jnl
Multi-view adaptive semi-supervised feature selection with the self-paced learning.
Signal Process.
Caijuan Shi, Zhibin Gu, Changyu Duan, Qi Tian
2019 J jnl
Semi-supervised feature selection analysis with structured multi-view sparse regularization.
Neurocomputing
Caijuan Shi, Changyu Duan, Zhibin Gu, Qi Tian, Gaoyun An, Ruizhen Zhao