Weixiang Liu

Orcid: 0000-0001-7198-6311

According to our database1, Weixiang Liu authored at least 45 papers between 2003 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Saturation-Tolerant Prescribed Instant Adaptive Integral Sliding Mode Control.
IEEE Trans. Ind. Electron., March, 2024

Saturated Prescribed Space-Time Adaptive Sliding Mode Control With its Implementation on Piezo-Actuated Fast Steering Mirror.
IEEE Trans. Circuits Syst. II Express Briefs, March, 2024

2023
Comparison of six machine learning methods for differentiating benign and malignant thyroid nodules using ultrasonographic characteristics.
BMC Medical Imaging, December, 2023

An Overview of Image Generation of Industrial Surface Defects.
Sensors, October, 2023

G-SAM: A Robust One-Shot Keypoint Detection Framework for PnP Based Robot Pose Estimation.
J. Intell. Robotic Syst., October, 2023

Perception Reinforcement Using Auxiliary Learning Feature Fusion: A Modified Yolov8 for Head Detection.
CoRR, 2023

Edge-aware Plug-and-play Scheme for Semantic Segmentation.
CoRR, 2023

2022
Predefined-Time Barrier Function Adaptive Sliding-Mode Control and Its Application to Piezoelectric Actuators.
IEEE Trans. Ind. Informatics, 2022

Mask Focal Loss: A unifying framework for dense crowd counting with canonical object detection networks.
CoRR, 2022

Harmonizing Output Imbalance for semantic segmentation on extremely-imbalanced input data.
CoRR, 2022

Breast cancer detection and classification in mammogram using a three-stage deep learning framework based on PAA algorithm.
Artif. Intell. Medicine, 2022

2021
Classification of Obsessive-Compulsive Disorder Using Distance Correlation on Resting-State Functional MRI Images.
Frontiers Neuroinformatics, 2021

2020
Automated mammographic mass detection using deformable convolution and multiscale features.
Medical Biol. Eng. Comput., 2020

2019
Improved parallel MR imaging with accurate coil sensitivity estimation using iterative adaptive support.
Biomed. Signal Process. Control., 2019

Hybrid Cardiac Imaging Integrating Elliptical Orbit SPECT With CT.
IEEE Access, 2019

2018
An Adjustable Dynamic Self-Adapting OSEM Approach to Low-Dose X-Ray CT Image Reconstruction.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Hybrid Iterative Reconstruction for Low Radiation Dose Computed Tomography.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
A novel automatic identification model for tracking dynamic brain functional networks at single-subject level.
Proceedings of the IEEE International Conference on Information and Automation, 2017

Convolutional neural networks based transfer learning for diabetic retinopathy fundus image classification.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

Fall detection for elderly person care using convolutional neural networks.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2016
Supervision on abnormal activities in vehicle inspection service by anomaly detection in bipartite graph.
Proceedings of the IEEE International Conference on Intelligent Transportation Engineering, 2016

2013
Regularized nonnegative matrix factorization for clustering gene expression data.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Application on space-time coding technology in ultrasonic back-propagation method.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
Functional gradient ascent for Probit regression.
Pattern Recognit., 2012

2011
An experimental comparison of gene selection by Lasso and Dantzig selector for cancer classification.
Comput. Biol. Medicine, 2011

2010
Feature extraction and selection hybrid algorithm for hyperspectral imagery classification.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Median Boost for Cancer Classification with Gene Expression Data.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010

Fitting Probit Regression using Functional Gradient Ascent for Cancer Classification.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010

Selecting informative genes by Lasso and Dantzig selector for linear classifiers.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

Sparse nonnegative matrix factorization with the elastic net.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2008
Reducing microarray data via nonnegative matrix factorization for visualization and clustering analysis.
J. Biomed. Informatics, 2008

Combining Generalized NMF and Discriminative Mixture Models for Classification of Gene Expression Data.
Int. J. Pattern Recognit. Artif. Intell., 2008

Sparse p-norm Nonnegative Matrix Factorization for clustering gene expression data.
Int. J. Data Min. Bioinform., 2008

On alpha-divergence based nonnegative matrix factorization for clustering cancer gene expression data.
Artif. Intell. Medicine, 2008

Semantic Feature Extraction for Brain CT Image Clustering Using Nonnegative Matrix Factorization.
Proceedings of the Medical Biometrics, First International Conference, 2008

Brain CT Image Feature Extraction Using Nonnegative Tensor Factorization.
Proceedings of the Image Analysis, 2008

2006
Learning Sparse Mixture Models for Discriminative Classification.
Int. J. Pattern Recognit. Artif. Intell., 2006

2005
Erratum to: "Non-negative matrix factorization based methods for object recognition" [Pattern Recognition Letters 25 (2004) 893-897].
Pattern Recognit. Lett., 2005

Natural image matting with non-negative matrix factorization.
Proceedings of the 2005 International Conference on Image Processing, 2005

2004
Non-negative matrix factorization based methods for object recognition.
Pattern Recognit. Lett., 2004

Learning sparse features for classification by mixture models.
Pattern Recognit. Lett., 2004

Relative gradient speeding up additive updates for nonnegative matrix factorization.
Neurocomputing, 2004

Nonnegative Matrix Factorization for EEG Signal Classification.
Proceedings of the Advances in Neural Networks, 2004

2003
Learning features from examples for face detection.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Non-negative matrix factorization for visual coding.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003


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