Xiao-Dong Wang

Orcid: 0000-0002-9153-1928

Affiliations:

Xiamen University of Technology, College of Computer and Information Engineering, China
Chaoyang University of Technology, Department of Information Management, Taichung, Taiwan (PhD 2019)

According to our database¹, Xiao-Dong Wang authored at least 30 papers between 2012 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

A robust defect detection method for syringe scale without positive samples.

[BibT_eX]

[DOI]

Vis. Comput., November, 2023

Progressive Local Filter Pruning for Image Retrieval Acceleration.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

2022

Soft Person Reidentification Network Pruning via Blockwise Adjacent Filter Decaying.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

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

[BibT_eX]

[DOI]

J. Electronic Imaging, 2022

Non-Contact Extensometer Deformation Detection via Deep Learning and Edge Feature Analysis.

[BibT_eX]

[DOI]

Proceedings of the Design Studies and Intelligence Engineering, 2022

Unsupervised Defect Detection for Medical Syringe Using Denoising Convolutional Autoencoder.

[BibT_eX]

[DOI]

Proceedings of the Design Studies and Intelligence Engineering, 2022

2021

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Anomaly Detection for Imbalanced Data via Deep Neural Network with Concentrated Loss.

[BibT_eX]

[DOI]

Proceedings of the Design Studies and Intelligence Engineering, 2021

A Robust Defect Detection Method with Dense Differential Siamese Network.

[BibT_eX]

[DOI]

Proceedings of the Design Studies and Intelligence Engineering, 2021

Compact Deep Neural Networks via Soft and Smooth Filter Pruning.

[BibT_eX]

[DOI]

Proceedings of the Design Studies and Intelligence Engineering, 2021

Multi-input-output Fusion Attention Module for Deblurring Networks.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Adaptive multi-view subspace clustering for high-dimensional data.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2020

FSRGAN-DB: Super-resolution Reconstruction Based on Facial Prior Knowledge.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Robust Dimension Reduction for Clustering With Local Adaptive Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Local adaptive learning for semi-supervised feature selection with group sparsity.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

High-dimensional Data Clustering Using K-means Subspace Feature Selection.

[BibT_eX]

[DOI]

Xiao-Dong Wang

Rung-Ching Chen

Fei Yan

J. Netw. Intell., 2019

Fast Adaptive K-Means Subspace Clustering for High-Dimensional Data.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

Domain adaptation with low-rank alignment for weakly supervised hand pose recovery.

[BibT_eX]

[DOI]

Signal Process., 2018

Unsupervised feature analysis with sparse adaptive learning.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2018

Two-stream person re-identification with multi-task deep neural networks.

[BibT_eX]

[DOI]

Mach. Vis. Appl., 2018

Robust Discriminative multi-view K-means clustering with feature selection and group sparsity learning.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2018

Semi-supervised adaptive feature analysis and its application for multimedia understanding.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2018

2017

Multimedia annotation via semi-supervised shared-subspace feature selection.

[BibT_eX]

[DOI]

Zhiqiang Zeng

Xiaodong Wang

Yuming Chen

J. Vis. Commun. Image Represent., 2017

Semi-supervised multi-label feature selection via label correlation analysis with l1-norm graph embedding.

[BibT_eX]

[DOI]

Image Vis. Comput., 2017

Fast and robust K-means clustering via feature learning on high-dimensional data.

[BibT_eX]

[DOI]

Xiao-Dong Wang

Rung-Ching Chen

Fei Yan

Proceedings of the IEEE 8th International Conference on Awareness Science and Technology, 2017

2016

Hypergraph regularized autoencoder for image-based 3D human pose recovery.

[BibT_eX]

[DOI]

Signal Process., 2016

Semi-supervised feature selection with exploiting shared information among multiple tasks.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2016

Semi-supervised feature selection based on local discriminative information.

[BibT_eX]

[DOI]

Neurocomputing, 2016

2012

Data classification from the inverse nth power gravitation.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2012

Xiao-Dong Wang

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