research
∙
06/16/2023
HomoGCL: Rethinking Homophily in Graph Contrastive Learning
Contrastive learning (CL) has become the de-facto learning paradigm in s...
share
research
∙
06/16/2023
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification
Class imbalance is the phenomenon that some classes have much fewer inst...
research
∙
05/12/2023
One-step Bipartite Graph Cut: A Normalized Formulation and Its Application to Scalable Subspace Clustering
The bipartite graph structure has shown its promising ability in facilit...
research
∙
08/25/2022
Adaptively-weighted Integral Space for Fast Multiview Clustering
Multiview clustering has been extensively studied to take advantage of m...
research
∙
07/14/2022
Image Clustering with Contrastive Learning and Multi-scale Graph Convolutional Networks
Deep clustering has recently attracted significant attention. Despite th...
research
∙
06/26/2022
Vision Transformer for Contrastive Clustering
Vision Transformer (ViT) has shown its advantages over the convolutional...
research
∙
06/22/2022
Multi-party Secure Broad Learning System for Privacy Preserving
Multi-party learning is an indispensable technique for improving the lea...
research
∙
06/01/2022
Strongly Augmented Contrastive Clustering
Deep clustering has attracted increasing attention in recent years due t...
research
∙
06/01/2022
DeepCluE: Enhanced Image Clustering via Multi-layer Ensembles in Deep Neural Networks
Deep clustering has recently emerged as a promising technique for comple...
research
∙
03/22/2022
Fast Multi-view Clustering via Ensembles: Towards Scalability, Superiority, and Simplicity
Despite significant progress, there remain three limitations to the prev...
research
∙
03/12/2022
G^3SR: Global Graph Guided Session-based Recommendation
Session-based recommendation tries to make use of anonymous session data...
research
∙
03/10/2021
BCFNet: A Balanced Collaborative Filtering Network with Attention Mechanism
Collaborative Filtering (CF) based recommendation methods have been wide...
research
∙
08/13/2020
Hybrid Dynamic-static Context-aware Attention Network for Action Assessment in Long Videos
The objective of action quality assessment is to score sports videos. Ho...
research
∙
05/05/2020
Adaptive Interaction Modeling via Graph Operations Search
Interaction modeling is important for video action analysis. Recently, s...
research
∙
03/15/2019
Unsupervised Person Re-identification by Soft Multilabel Learning
Although unsupervised person re-identification (RE-ID) has drawn increas...
research
∙
03/04/2019
Ultra-Scalable Spectral Clustering and Ensemble Clustering
This paper focuses on scalability and robustness of spectral clustering ...
research
∙
01/15/2019
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
In general, recommendation can be viewed as a matching problem, i.e., ma...
research
∙
04/08/2018
Dimensionality's Blessing: Clustering Images by Underlying Distribution
Many high dimensional vector distances tend to a constant. This is typic...
research
∙
10/09/2017
Toward Multi-Diversified Ensemble Clustering of High-Dimensional Data
The emergence of high-dimensional data in various areas has brought new ...
research
∙
03/26/2017
Person Re-Identification by Camera Correlation Aware Feature Augmentation
The challenge of person re-identification (re-id) is to match individual...
research
∙
06/03/2016
Robust Ensemble Clustering Using Probability Trajectories
Although many successful ensemble clustering approaches have been develo...
research
∙
05/26/2015
Deep Ranking for Person Re-identification via Joint Representation Learning
This paper proposes a novel approach to person re-identification, a fund...
research
∙
02/02/2015
Discriminatively Trained And-Or Graph Models for Object Shape Detection
In this paper, we investigate a novel reconfigurable part-based model, n...
research
∙
05/06/2014