Weixiang Liu

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 24

Top Topics

Semantic Segmentation

Convolutional Neural Networks

Image Reconstruction

Top Venues

Artif. Intell. Medicine

Publications

Chao Liu, Weixiang Liu, Haifeng Ma, Zhenhua Xiong, Yangmin Li
Saturated Prescribed Space-Time Adaptive Sliding Mode Control With its Implementation on Piezo-Actuated Fast Steering Mirror. IEEE Trans. Circuits Syst. II Express Briefs 71 (3) (2024)
Weixiang Liu, Haifeng Ma, Zhanqiang Liu, Zhenhua Xiong, Yangmin Li
Saturation-Tolerant Prescribed Instant Adaptive Integral Sliding Mode Control. IEEE Trans. Ind. Electron. 71 (3) (2024)
Xiaopin Zhong, Guankun Wang, Weixiang Liu, Zongze Wu, Yuanlong Deng
Mask focal loss: a unifying framework for dense crowd counting with canonical object detection networks. Multim. Tools Appl. 83 (27) (2024)
Deyu Zeng, Chris Ding, Zongze Wu, Xiaopin Zhong, Weixiang Liu
Segmentary group-sparsity self-representation learning and spectral clustering via double L21 norm. Knowl. Based Syst. 286 (2024)
Weixiang Liu, Pengcheng Zeng, Jiale Jiang, Jingyang Chen, Linghao Chen, Chuting Hu, Wenjing Jian, Xianfen Diao, Xianming Wang
Improved PAA algorithm for breast mass detection in mammograms. Comput. Methods Programs Biomed. 251 (2024)
Xiaopin Zhong, Wenxuan Zhu, Weixiang Liu, Jianye Yi, Chengxiang Liu, Zongze Wu
G-SAM: A Robust One-Shot Keypoint Detection Framework for PnP Based Robot Pose Estimation. J. Intell. Robotic Syst. 109 (2) (2023)
Jianguang Liang, Tiantian Pang, Weixiang Liu, Xiaogang Li, Leidan Huang, Xuehao Gong, Xianfen Diao
Comparison of six machine learning methods for differentiating benign and malignant thyroid nodules using ultrasonographic characteristics. BMC Medical Imaging 23 (1) (2023)
Jianye Yi, Xiaopin Zhong, Weixiang Liu, Wenxuan Zhu, Zongze Wu, Yuanlong Deng
Edge-aware Plug-and-play Scheme for Semantic Segmentation. CoRR (2023)
Xiaopin Zhong, Junwei Zhu, Weixiang Liu, Chongxin Hu, Yuanlong Deng, Zongze Wu
An Overview of Image Generation of Industrial Surface Defects. Sensors 23 (19) (2023)
Jiezhou Chen, Guankun Wang, Weixiang Liu, Xiaopin Zhong, Yibin Tian, Zongze Wu
Perception Reinforcement Using Auxiliary Learning Feature Fusion: A Modified Yolov8 for Head Detection. CoRR (2023)
Xiaopin Zhong, Guankun Wang, Weixiang Liu, Zongze Wu, Yuanlong Deng
Mask Focal Loss: A unifying framework for dense crowd counting with canonical object detection networks. CoRR (2022)
Jianye Yi, Xiaopin Zhong, Weixiang Liu, Zongze Wu, Yuanlong Deng
Harmonizing Output Imbalance for semantic segmentation on extremely-imbalanced input data. CoRR (2022)
Jiale Jiang, Junchuan Peng, Chuting Hu, Wenjing Jian, Xianming Wang, Weixiang Liu
Breast cancer detection and classification in mammogram using a three-stage deep learning framework based on PAA algorithm. Artif. Intell. Medicine 134 (2022)
Haifeng Ma, Weixiang Liu, Zhenhua Xiong, Yangmin Li, Zhanqiang Liu, Yuxin Sun
Predefined-Time Barrier Function Adaptive Sliding-Mode Control and Its Application to Piezoelectric Actuators. IEEE Trans. Ind. Informatics 18 (12) (2022)
Qian Luo, Weixiang Liu, Lili Jin, Chunqi Chang, Ziwen Peng
Classification of Obsessive-Compulsive Disorder Using Distance Correlation on Resting-State Functional MRI Images. Frontiers Neuroinformatics 15 (2021)
Junchuan Peng, Changyu Bao, Chuting Hu, Xianming Wang, Wenjing Jian, Weixiang Liu
Automated mammographic mass detection using deformable convolution and multiscale features. Medical Biol. Eng. Comput. 58 (7) (2020)
Jinhua Sheng, Bocheng Wang, Yangjie Ma, Qingqiang Liu, Weixiang Liu, Bin Chen, Meiling Shao
Improved parallel MR imaging with accurate coil sensitivity estimation using iterative adaptive support. Biomed. Signal Process. Control. 51 (2019)
Jinhua Sheng, Yangjie Ma, Weixiang Liu, Qingqiang Liu
Hybrid Cardiac Imaging Integrating Elliptical Orbit SPECT With CT. IEEE Access 7 (2019)
Jinhua Sheng, Bin Chen, Bocheng Wang, Qingqiang Liu, Yangjie Ma, Weixiang Liu
Hybrid Iterative Reconstruction for Low Radiation Dose Computed Tomography. ICONIP (6) (2018)
Jinhua Sheng, Bin Chen, Bocheng Wang, Yangjie Ma, Qingqiang Liu, Weixiang Liu
An Adjustable Dynamic Self-Adapting OSEM Approach to Low-Dose X-Ray CT Image Reconstruction. ICONIP (6) (2018)
Xiaogang Li, Tiantian Pang, Biao Xiong, Weixiang Liu, Ping Liang, Tianfu Wang
Convolutional neural networks based transfer learning for diabetic retinopathy fundus image classification. CISP-BMEI (2017)
Xiaogang Li, Tiantian Pang, Weixiang Liu, Tianfu Wang
Fall detection for elderly person care using convolutional neural networks. CISP-BMEI (2017)
Nizhuan Wang, Li Liu, Weixiang Liu, Hongjie Yan
A novel automatic identification model for tracking dynamic brain functional networks at single-subject level. ICIA (2017)
Chenlu Qiu, Huiying Xu, Weixiang Liu
Supervision on abnormal activities in vehicle inspection service by anomaly detection in bipartite graph. ICITE (2016)
Xiaonian He, Weixiang Liu, Siping Chen, Zhengdi Qin
Application on space-time coding technology in ultrasonic back-propagation method. BIBM (2013)
Weixiang Liu, Tianfu Wang, Siping Chen
Regularized nonnegative matrix factorization for clustering gene expression data. BIBM (2013)
Songfeng Zheng, Weixiang Liu
Functional gradient ascent for Probit regression. Pattern Recognit. 45 (12) (2012)
Songfeng Zheng, Weixiang Liu
An experimental comparison of gene selection by Lasso and Dantzig selector for cancer classification. Comput. Biol. Medicine 41 (11) (2011)
Sen Jia, Yuntao Qian, Jiming Li, Weixiang Liu, Zhen Ji
Feature extraction and selection hybrid algorithm for hyperspectral imagery classification. IGARSS (2010)
Songfeng Zheng, Weixiang Liu
Fitting Probit Regression using Functional Gradient Ascent for Cancer Classification. BIOCOMP (2010)
Songfeng Zheng, Weixiang Liu
Selecting informative genes by Lasso and Dantzig selector for linear classifiers. BIBM (2010)
Weixiang Liu, Songfeng Zheng, Sen Jia, LinLin Shen, Xianghua Fu
Sparse nonnegative matrix factorization with the elastic net. BIBM (2010)
Songfeng Zheng, Weixiang Liu
Median Boost for Cancer Classification with Gene Expression Data. BIOCOMP (2010)
Jiying Zou, Kehong Yuan, Weixiang Liu, Shu Feng, Ziqiang Chen, Wufan Chen
Brain CT Image Feature Extraction Using Nonnegative Tensor Factorization. IWCIA Special Track on Applications (2008)
Weixiang Liu, Kehong Yuan, Datian Ye
Reducing microarray data via nonnegative matrix factorization for visualization and clustering analysis. J. Biomed. Informatics 41 (4) (2008)
Weixiang Liu, Kehong Yuan, Datian Ye
On alpha-divergence based nonnegative matrix factorization for clustering cancer gene expression data. Artif. Intell. Medicine 44 (1) (2008)
Weixiang Liu, Fei Peng, Shu Feng, Jiangsheng You, Ziqiang Chen, Jian Wu, Kehong Yuan, Datian Ye
Semantic Feature Extraction for Brain CT Image Clustering Using Nonnegative Matrix Factorization. ICMB (2008)
Weixiang Liu, Kehong Yuan
Sparse p-norm Nonnegative Matrix Factorization for clustering gene expression data. Int. J. Data Min. Bioinform. 2 (3) (2008)
Weixiang Liu, Kehong Yuan, Jian Wu, Datian Ye, Zhen Ji, Siping Chen
Combining Generalized NMF and Discriminative Mixture Models for Classification of Gene Expression Data. Int. J. Pattern Recognit. Artif. Intell. 22 (8) (2008)
Weixiang Liu, Nanning Zheng, Songfeng Zheng
Learning Sparse Mixture Models for Discriminative Classification. Int. J. Pattern Recognit. Artif. Intell. 20 (3) (2006)
Kun Wang, Nanning Zheng, Weixiang Liu
Natural image matting with non-negative matrix factorization. ICIP (2) (2005)
Weixiang Liu, Nanning Zheng
Erratum to: "Non-negative matrix factorization based methods for object recognition" [Pattern Recognition Letters 25 (2004) 893-897]. Pattern Recognit. Lett. 26 (14) (2005)
Weixiang Liu, Nanning Zheng, Xi Li
Nonnegative Matrix Factorization for EEG Signal Classification. ISNN (2) (2004)
Weixiang Liu, Nanning Zheng
Non-negative matrix factorization based methods for object recognition. Pattern Recognit. Lett. 25 (8) (2004)
Weixiang Liu, Nanning Zheng
Learning sparse features for classification by mixture models. Pattern Recognit. Lett. 25 (2) (2004)
Weixiang Liu, Nanning Zheng, Xi Li
Relative gradient speeding up additive updates for nonnegative matrix factorization. Neurocomputing 57 (2004)
Xiaofeng Lu, Songfeng Zheng, Nanning Zheng, Weixiang Liu
Learning features from examples for face detection. ICASSP (2) (2003)
Weixiang Liu, Nanning Zheng, Xiaofeng Lu
Non-negative matrix factorization for visual coding. ICASSP (3) (2003)