b'En Zhu'

research

∙ 08/31/2023

Scalable Incomplete Multi-View Clustering with Structure Alignment

The success of existing multi-view clustering (MVC) relies on the assump...

0 Yi Wen, et al. ∙

research

∙ 08/17/2023

DealMVC: Dual Contrastive Calibration for Multi-view Clustering

Benefiting from the strong view-consistent information mining capacity, ...

0 Xihong Yang, et al. ∙

research

∙ 06/08/2023

One-step Multi-view Clustering with Diverse Representation

Multi-view clustering has attracted broad attention due to its capacity ...

0 Xinhang Wan, et al. ∙

research

∙ 06/04/2023

Fast Continual Multi-View Clustering with Incomplete Views

Multi-view clustering (MVC) has gained broad attention owing to its capa...

0 Xinhang Wan, et al. ∙

research

∙ 03/28/2023

Deep Incomplete Multi-view Clustering with Cross-view Partial Sample and Prototype Alignment

The success of existing multi-view clustering relies on the assumption o...

0 Jiaqi Jin, et al. ∙

research

∙ 03/14/2023

GANN: Graph Alignment Neural Network for Semi-Supervised Learning

Graph neural networks (GNNs) have been widely investigated in the field ...

0 Linxuan Song, et al. ∙

research

∙ 01/03/2023

Cluster-guided Contrastive Graph Clustering Network

Benefiting from the intrinsic supervision information exploitation capab...

0 Xihong Yang, et al. ∙

research

∙ 12/07/2022

Contrastive Deep Graph Clustering with Learnable Augmentation

Graph contrastive learning is an important method for deep graph cluster...

0 Xihong Yang, et al. ∙

research

∙ 12/01/2022

Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View

Graph anomaly detection (GAD) is a vital task in graph-based machine lea...

0 Jingcan Duan, et al. ∙

research

∙ 08/02/2022

Late Fusion Multi-view Clustering via Global and Local Alignment Maximization

Multi-view clustering (MVC) optimally integrates complementary informati...

0 Siwei Wang, et al. ∙

research

∙ 07/13/2022

Multiple Kernel Clustering with Dual Noise Minimization

Clustering is a representative unsupervised method widely applied in mul...

33 Junpu Zhang, et al. ∙

research

∙ 07/05/2022

Local Sample-weighted Multiple Kernel Clustering with Consensus Discriminative Graph

Multiple kernel clustering (MKC) is committed to achieving optimal infor...

0 Liang Li, et al. ∙

research

∙ 06/06/2022

Interpolation-based Correlation Reduction Network for Semi-Supervised Graph Learning

Graph Neural Networks (GNNs) have achieved promising performance in semi...

11 Xihong Yang, et al. ∙

research

∙ 05/30/2022

Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences

Multi-view anchor graph clustering selects representative anchors to avo...

0 Siwei Wang, et al. ∙

research

∙ 02/24/2022

Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning

Semi-supervised learning (SSL) has long been proved to be an effective t...

0 Xihong Yang, et al. ∙

research

∙ 12/29/2021

Deep Graph Clustering via Dual Correlation Reduction

Deep graph clustering, which aims to reveal the underlying graph structu...

12 Yue Liu, et al. ∙

research

∙ 08/05/2021

Video Abnormal Event Detection by Learning to Complete Visual Cloze Tests

Video abnormal event detection (VAD) is a vital semi-supervised task tha...

13 Siqi Wang, et al. ∙

research

∙ 08/04/2021

Sensing Anomalies like Humans: A Hominine Framework to Detect Abnormal Events from Unlabeled Videos

Video anomaly detection (VAD) has constantly been a vital topic in video...

0 Siqi Wang, et al. ∙

research

∙ 05/01/2021

Multi-view Clustering via Deep Matrix Factorization and Partition Alignment

Multi-view clustering (MVC) has been extensively studied to collect mult...

0 Chen Zhang, et al. ∙

research

∙ 04/27/2021

Multi-view Deep One-class Classification: A Systematic Exploration

One-class classification (OCC), which models one single positive class a...

0 Siqi Wang, et al. ∙

research

∙ 03/21/2021

Deep Distribution-preserving Incomplete Clustering with Optimal Transport

Clustering is a fundamental task in the computer vision and machine lear...

10 Mingjie Luo, et al. ∙

research

∙ 01/06/2021

Multi-object Tracking with a Hierarchical Single-branch Network

Recent Multiple Object Tracking (MOT) methods have gradually attempted t...

0 Fan Wang, et al. ∙

research

∙ 12/15/2020

Deep Fusion Clustering Network

Deep clustering is a fundamental yet challenging task for data analysis....

0 Wenxuan Tu, et al. ∙

research

∙ 08/31/2020

Multi-View Spectral Clustering with High-Order Optimal Neighborhood Laplacian Matrix

Multi-view spectral clustering can effectively reveal the intrinsic clus...

0 Weixuan Liang, et al. ∙

research

∙ 08/27/2020

Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events

As a vital topic in media content interpretation, video anomaly detectio...

3 Guang Yu, et al. ∙

research

∙ 05/11/2020

SimpleMKKM: Simple Multiple Kernel K-means

We propose a simple yet effective multiple kernel clustering algorithm, ...

0 Xinwang Liu, et al. ∙

research

∙ 11/28/2019

Understand Dynamic Regret with Switching Cost for Online Decision Making

As a metric to measure the performance of an online method, dynamic regr...

0 Yawei Zhao, et al. ∙

research

∙ 08/04/2019

Simultaneous Clustering and Optimization for Evolving Datasets

Simultaneous clustering and optimization (SCO) has recently drawn much a...

7 Yawei Zhao, et al. ∙

research

∙ 12/26/2018

Dynamic Online Gradient Descent with Improved Query Complexity: A Theoretical Revisit

We provide a new theoretical analysis framework to investigate online gr...

0 Yawei Zhao, et al. ∙

research

∙ 08/20/2018

Triangle Lasso for Simultaneous Clustering and Optimization in Graph Datasets

Recently, network lasso has drawn many attentions due to its remarkable ...

0 Yawei Zhao, et al. ∙

En Zhu

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