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 29 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
A robust defect detection method for syringe scale without positive samples.
Vis. Comput., November, 2023

Progressive Local Filter Pruning for Image Retrieval Acceleration.
IEEE Trans. Multim., 2023

Two-stage natural scene image classification with noise discovering and label-correlation mining.
Knowl. Based Syst., 2023

2022
Soft Person Reidentification Network Pruning via Blockwise Adjacent Filter Decaying.
IEEE Trans. Cybern., 2022

Non-Contact Extensometer Deformation Detection via Deep Learning and Edge Feature Analysis.
Proceedings of the Design Studies and Intelligence Engineering, 2022

Unsupervised Defect Detection for Medical Syringe Using Denoising Convolutional Autoencoder.
Proceedings of the Design Studies and Intelligence Engineering, 2022

2021
Joint image clustering and feature selection with auto-adjoined learning for high-dimensional data.
Knowl. Based Syst., 2021

Anomaly Detection for Imbalanced Data via Deep Neural Network with Concentrated Loss.
Proceedings of the Design Studies and Intelligence Engineering, 2021

A Robust Defect Detection Method with Dense Differential Siamese Network.
Proceedings of the Design Studies and Intelligence Engineering, 2021

Compact Deep Neural Networks via Soft and Smooth Filter Pruning.
Proceedings of the Design Studies and Intelligence Engineering, 2021

Multi-input-output Fusion Attention Module for Deblurring Networks.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Adaptive multi-view subspace clustering for high-dimensional data.
Pattern Recognit. Lett., 2020

FSRGAN-DB: Super-resolution Reconstruction Based on Facial Prior Knowledge.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Robust Dimension Reduction for Clustering With Local Adaptive Learning.
IEEE Trans. Neural Networks Learn. Syst., 2019

Local adaptive learning for semi-supervised feature selection with group sparsity.
Knowl. Based Syst., 2019

High-dimensional Data Clustering Using K-means Subspace Feature Selection.
J. Netw. Intell., 2019

Fast Adaptive K-Means Subspace Clustering for High-Dimensional Data.
IEEE Access, 2019

2018
Domain adaptation with low-rank alignment for weakly supervised hand pose recovery.
Signal Process., 2018

Unsupervised feature analysis with sparse adaptive learning.
Pattern Recognit. Lett., 2018

Two-stream person re-identification with multi-task deep neural networks.
Mach. Vis. Appl., 2018

Robust Discriminative multi-view K-means clustering with feature selection and group sparsity learning.
Multim. Tools Appl., 2018

Semi-supervised adaptive feature analysis and its application for multimedia understanding.
Multim. Tools Appl., 2018

2017
Multimedia annotation via semi-supervised shared-subspace feature selection.
J. Vis. Commun. Image Represent., 2017

Semi-supervised multi-label feature selection via label correlation analysis with l<sub>1</sub>-norm graph embedding.
Image Vis. Comput., 2017

Fast and robust K-means clustering via feature learning on high-dimensional data.
Proceedings of the IEEE 8th International Conference on Awareness Science and Technology, 2017

2016
Hypergraph regularized autoencoder for image-based 3D human pose recovery.
Signal Process., 2016

Semi-supervised feature selection with exploiting shared information among multiple tasks.
J. Vis. Commun. Image Represent., 2016

Semi-supervised feature selection based on local discriminative information.
Neurocomputing, 2016

2012
Data classification from the inverse <i>n</i><sup><i>th</i></sup> power gravitation.
Sci. China Inf. Sci., 2012


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