455 citations · 2.1k across the 21 of their papers we have counts for
6 papers · 1 filter
Learning Representations for Clustering via Partial Information Discrimination and Cross-Level Interaction
Hai-Xin Zhang, Dong Huang, Hua-Bao Ling +3
In this paper, we present a novel deep image clustering approach termed PICI, which enforces the partial information discrimination and the cross-level interaction in a joint learn…
Vision Transformer for Contrastive Clustering
Hua-Bao Ling, Bowen Zhu, Dong Huang +3
Vision Transformer (ViT) has shown its advantages over the convolutional neural network (CNN) with its ability to capture global long-range dependencies for visual representation l…
Deep Image Clustering with Contrastive Learning and Multi-scale Graph Convolutional Networks
Yuankun Xu, Dong Huang, Chang-Dong Wang +1
Deep clustering has shown its promising capability in joint representation learning and clustering via deep neural networks. Despite the significant progress, the existing deep clu…
DeepCluE: Enhanced Image Clustering via Multi-layer Ensembles in Deep Neural Networks
Dong Huang, Ding-Hua Chen, Xiangji Chen +2
Deep clustering has recently emerged as a promising technique for complex data clustering. Despite the considerable progress, previous deep clustering works mostly build or learn t…
Joint Multi-view Unsupervised Feature Selection and Graph Learning
Si-Guo Fang, Dong Huang, Chang-Dong Wang +1
Despite significant progress, previous multi-view unsupervised feature selection methods mostly suffer from two limitations. First, they generally utilize either cluster structure…
Seeking Commonness and Inconsistencies: A Jointly Smoothed Approach to Multi-view Subspace Clustering
Xiaosha Cai, Dong Huang, Guang-Yu Zhang +1
Multi-view subspace clustering aims to discover the hidden subspace structures from multiple views for robust clustering, and has been attracting considerable attention in recent y…