Weixiang Liu
Orcid: 0000-0003-0028-6363
According to our database1,
Weixiang Liu
authored at least 47 papers
between 2003 and 2024.
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Bibliography
2024
Mask focal loss: a unifying framework for dense crowd counting with canonical object detection networks.
Multim. Tools Appl., August, 2024
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
Segmentary group-sparsity self-representation learning and spectral clustering via double L21 norm.
Knowl. Based Syst., 2024
Comput. Methods Programs Biomed., 2024
2023
Comparison of six machine learning methods for differentiating benign and malignant thyroid nodules using ultrasonographic characteristics.
BMC Medical Imaging, December, 2023
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
2022
Predefined-Time Barrier Function Adaptive Sliding-Mode Control and Its Application to Piezoelectric Actuators.
IEEE Trans. Ind. Informatics, 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
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
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
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
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
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
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010
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
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
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
Proceedings of the 2005 International Conference on Image Processing, 2005
2004
Pattern Recognit. Lett., 2004
Pattern Recognit. Lett., 2004
Neurocomputing, 2004
Proceedings of the Advances in Neural Networks, 2004
2003
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003