Dong Huang (黄栋)

About Dong Huang (黄栋)

Dong Huang (黄栋), With an exceptional h-index of 25 and a recent h-index of 24 (since 2020), a distinguished researcher at South China Agricultural University, specializes in the field of Data Mining, Machine Learning, Big Data Analytics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Unified and Tensorized Incomplete Multi-view Kernel Subspace Clustering

Motorcyclist Helmet Detection in Single Images: A Dual-Detection Framework with Multi-Head Self-Attention

Joint Multi-view Unsupervised Feature Selection and Graph Learning

Multi-View Graph Learning by Joint Modeling of Consistency and Inconsistency

DeepCluE: Enhanced Deep Clustering via Multi-Layer Ensembles in Neural Networks

Deep Image Clustering with Contrastive Learning and Multi-scale Graph Convolutional Networks

Towards Efficient and Effective Deep Clustering with Dynamic Grouping and Prototype Aggregation

Towards Scalable Multi-view Clustering via Joint Learning of Many Bipartite Graphs

Dong Huang (黄栋) Information

University

Position

College of Mathematics and Informatics

Citations(all)

2754

Citations(since 2020)

2461

Cited By

1004

hIndex(all)

25

hIndex(since 2020)

24

i10Index(all)

45

i10Index(since 2020)

39

Email

University Profile Page

South China Agricultural University

Google Scholar

View Google Scholar Profile

Dong Huang (黄栋) Skills & Research Interests

Data Mining

Machine Learning

Big Data Analytics

Top articles of Dong Huang (黄栋)

Title

Journal

Author(s)

Publication Date

Unified and Tensorized Incomplete Multi-view Kernel Subspace Clustering

IEEE Transactions on Emerging Topics in Computational Intelligence

Guang-Yu Zhang

Dong Huang

Chang-Dong Wang

2024/1/30

Motorcyclist Helmet Detection in Single Images: A Dual-Detection Framework with Multi-Head Self-Attention

Soft Computing

Chun-Hong Li

Dong Huang

Guang-Yu Zhang

Jinrong Cui

2024/1/1

Joint Multi-view Unsupervised Feature Selection and Graph Learning

IEEE Transactions on Emerging Topics in Computational Intelligence

Si-Guo Fang

Dong Huang

Chang-Dong Wang

Yong Tang

2023/8/28

Multi-View Graph Learning by Joint Modeling of Consistency and Inconsistency

IEEE Transactions on Neural Networks and Learning Systems

Youwei Liang

Dong Huang

Chang-Dong Wang

S Yu Philip

2022/7/27

DeepCluE: Enhanced Deep Clustering via Multi-Layer Ensembles in Neural Networks

IEEE Transactions on Emerging Topics in Computational Intelligence

Dong Huang

Ding-Hua Chen

Xiangji Chen

Chang-Dong Wang

Jian-Huang Lai

2024/1/26

Deep Image Clustering with Contrastive Learning and Multi-scale Graph Convolutional Networks

Pattern Recognition

Yuankun Xu

Dong Huang

Chang-Dong Wang

Jian-Huang Lai

2024/2/1

Towards Efficient and Effective Deep Clustering with Dynamic Grouping and Prototype Aggregation

arXiv preprint arXiv:2401.13581

Haixin Zhang

Dong Huang

2024/1/24

Towards Scalable Multi-view Clustering via Joint Learning of Many Bipartite Graphs

IEEE Transactions on Big Data

Jinghuan Lao

Dong Huang

Chang-Dong Wang

Jian-Huang Lai

2023/10/16

基于眼动轨迹分析的 BPPV 诊断算法研究

计算机与数字工程

刘津铭, 蔡跃新, 曾俊波, 唐小武, 区永康, 叶伟杰, 叶鸿生, 熊彬彬, 黄栋

2023

Seeking Commonness and Inconsistencies: A Jointly Smoothed Approach to Multi-view Subspace Clustering

Information Fusion

Xiaosha Cai

Dong Huang

Guang-Yu Zhang

Chang-Dong Wang

2023/3/1

HOLT-Net: Detecting Smokers via Human-Object Interaction with Lite Transformer Network

Engineering Applications of Artificial Intelligence

Hua-Bao Ling

Dong Huang

Jinrong Cui

Chang-Dong Wang

2023/7

Cross-subject Tinnitus Diagnosis based on Multi-band EEG Contrastive Representation Learning

IEEE Journal of Biomedical and Health Informatics

Chang-Dong Wang

Xi-Ran Zhu

Xueqing Zhou

Jiahong Li

Liping Lan

...

2023

Strongly Augmented Contrastive Clustering

Pattern Recognition

Xiaozhi Deng

Dong Huang

Ding-Hua Chen

Chang-Dong Wang

Jian-Huang Lai

2023/7/1

Incomplete multi-view clustering network via nonlinear manifold embedding and probability-induced loss

Neural Networks

Cheng Huang

Jinrong Cui

Yulu Fu

Dong Huang

Min Zhao

...

2023/6/1

基于视图互信息加权的多视图集成聚类算法

计算机应用

劳景欢, 黄栋, 王昌栋, 赖剑煌

2023/1/1

Deep Attributed Graph Clustering with Graph Attention Network

Bowen Zhu

Dong Huang

Jinrong Cui

Guang-Yu Zhang

2023/2/17

One-step Bipartite Graph Cut: A Normalized Formulation and Its Application to Scalable Subspace Clustering

arXiv preprint arXiv:2305.07386

Si-Guo Fang

Dong Huang

Chang-Dong Wang

Jian-Huang Lai

2023/5/12

Heterogeneous Tri-stream Clustering Network

Neural Processing Letters

Xiaozhi Deng

Dong Huang

Chang-Dong Wang

2023/10

Facilitated low-rank multi-view subspace clustering

Knowledge-Based Systems

Guang-Yu Zhang

Dong Huang

Chang-Dong Wang

2023/1/25

Efficient Multi-view Clustering via Unified and Discrete Bipartite Graph Learning

IEEE Transactions on Neural Networks and Learning Systems

Si-Guo Fang

Dong Huang

Xiao-Sha Cai

Chang-Dong Wang

Chaobo He

...

2023/4/3

See List of Professors in Dong Huang (黄栋) University(South China Agricultural University)

Co-Authors

H-index: 194
Philip S. Yu

Philip S. Yu

University of Illinois at Chicago

H-index: 65
P C Yuen

P C Yuen

Hong Kong Baptist University

H-index: 47
Chee Keong KWOH

Chee Keong KWOH

Nanyang Technological University

H-index: 39
Chang-Dong Wang

Chang-Dong Wang

Sun Yat-Sen University

H-index: 37
Yuren Zhou

Yuren Zhou

Sun Yat-Sen University

H-index: 30
Hongyang Chao

Hongyang Chao

Sun Yat-Sen University

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