XIAODONG WANG

XIAODONG WANG

Xiamen University of Technology

H-index: 14

Asia-China

About XIAODONG WANG

XIAODONG WANG, With an exceptional h-index of 14 and a recent h-index of 11 (since 2020), a distinguished researcher at Xiamen University of Technology, specializes in the field of Feature selection, Clustering, Deep Learning.

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

Enhancing Clustering Performance: A Fuzzy Subspace Clustering Method with Local Correlation and Sparse Feature Selection

Deep LBP-Enriched Real-time Segmentation for Hair Defect Detection

Progressive local filter pruning for image retrieval acceleration

Unsupervised Defect Detection for Medical Syringe Using Denoising Convolutional Autoencoder

Two-stage natural scene image classification with noise discovering and label-correlation mining

A robust defect detection method for syringe scale without positive samples

Two-stage deep neural network with joint loss and multi-level representations for defect detection

Anomaly detection for imbalanced data via deep neural network with concentrated loss

XIAODONG WANG Information

University

Position

___

Citations(all)

625

Citations(since 2020)

463

Cited By

233

hIndex(all)

14

hIndex(since 2020)

11

i10Index(all)

18

i10Index(since 2020)

13

Email

University Profile Page

Xiamen University of Technology

Google Scholar

View Google Scholar Profile

XIAODONG WANG Skills & Research Interests

Feature selection

Clustering

Deep Learning

Top articles of XIAODONG WANG

Title

Journal

Author(s)

Publication Date

Enhancing Clustering Performance: A Fuzzy Subspace Clustering Method with Local Correlation and Sparse Feature Selection

Fei Yan

Xiaodong Wang

Longfu Hong

2024

Deep LBP-Enriched Real-time Segmentation for Hair Defect Detection

Xiaodong Wang

Jie Wang

Xianwei Xu

Fei Yan

Zhiqiang Zeng

2023/7/26

Progressive local filter pruning for image retrieval acceleration

IEEE Transactions on Multimedia

Xiaodong Wang

Zhedong Zheng

Yang He

Fei Yan

Zhiqiang Zeng

...

2023/4/4

Unsupervised Defect Detection for Medical Syringe Using Denoising Convolutional Autoencoder

Design Studies and Intelligence Engineering: Proceedings of DSIE 2022

LC Jain

2023/1/31

Two-stage natural scene image classification with noise discovering and label-correlation mining

Knowledge-Based Systems

Zhiqiang Zeng

Xiaodong Wang

Wei Li

Yuandi Ye

2023/1/25

A robust defect detection method for syringe scale without positive samples

The Visual Computer

Xiaodong Wang

Xianwei Xu

Yanli Wang

Pengtao Wu

Fei Yan

...

2023/11

Two-stage deep neural network with joint loss and multi-level representations for defect detection

Journal of Electronic Imaging

Xiaodong Wang

Yanli Wang

Xianwei Xu

Fei Yan

Zhiqiang Zeng

2022/11/1

Anomaly detection for imbalanced data via deep neural network with concentrated loss

Front. Artif. Intell. Appl

Yanli Wang

Xiaodong Wang

Xianwei Xu

Fei Yan

Zhiqiang Zeng

2022/3/30

Multi-input-output fusion attention module for deblurring networks

Yiqing Fan

Chaoqun Hong

Xiaodong Wang

Zhiqiang Zeng

Zetian Guo

2021/12/15

Soft person reidentification network pruning via blockwise adjacent filter decaying

IEEE Transactions on Cybernetics

Xiaodong Wang

Zhedong Zheng

Yang He

Fei Yan

Zhiqiang Zeng

...

2021/12/15

Joint image clustering and feature selection with auto-adjoined learning for high-dimensional data

Knowledge-Based Systems

Xiaodong Wang

Pengtao Wu

Qinghua Xu

Zhiqiang Zeng

Yong Xie

2021/11/28

FSRGAN-DB: super-resolution reconstruction based on facial prior knowledge

Wengang Zhou

Chaoqun Hong

Xiaodong Wang

Zhiqiang Zeng

2020/12/10

Adaptive multi-view subspace clustering for high-dimensional data

Pattern Recognition Letters

Fei Yan

Xiao-dong Wang

Zhi-qiang Zeng

Chao-qun Hong

2020/2/1

See List of Professors in XIAODONG WANG University(Xiamen University of Technology)

Co-Authors

H-index: 121
Yi Yang

Yi Yang

University of Technology Sydney

H-index: 26
Zhedong Zheng

Zhedong Zheng

University of Technology & Management

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