Non-negative matrix factorization for visual coding. - Weixiang Liu; Nanning Zheng 001; Xiaofeng Lu (ICASSP (3), 2003)

Learning features from examples for face detection. - Xiaofeng Lu; Songfeng Zheng; Nanning Zheng 001; Weixiang Liu (ICASSP (2), 2003)

Nonnegative Matrix Factorization for EEG Signal Classification. - Weixiang Liu; Nanning Zheng 001; Xi Li (ISNN (2), 2004)

Relative gradient speeding up additive updates for nonnegative matrix factorization. - Weixiang Liu; Nanning Zheng 001; Xi Li (Neurocomputing, 2004)

Learning sparse features for classification by mixture models. - Weixiang Liu; Nanning Zheng 001 (Pattern Recognit. Lett., 2004)

Non-negative matrix factorization based methods for object recognition. - Weixiang Liu; Nanning Zheng 001 (Pattern Recognit. Lett., 2004)

Natural image matting with non-negative matrix factorization. - Kun Wang; Nanning Zheng 001; Weixiang Liu (ICIP (2), 2005)

Erratum to: "Non-negative matrix factorization based methods for object recognition" [Pattern Recognition Letters 25 (2004) 893-897]. - Weixiang Liu; Nanning Zheng 001 (Pattern Recognit. Lett., 2005)

Learning Sparse Mixture Models for Discriminative Classification. - Weixiang Liu; Nanning Zheng 001; Songfeng Zheng (Int. J. Pattern Recognit. Artif. Intell., 2006)

Brain CT Image Feature Extraction Using Nonnegative Tensor Factorization. - Jiying Zou; Kehong Yuan; Weixiang Liu; Shu Feng; Ziqiang Chen; Wufan Chen (IWCIA Special Track on Applications, 2008)

Semantic Feature Extraction for Brain CT Image Clustering Using Nonnegative Matrix Factorization. - Weixiang Liu; Fei Peng; Shu Feng; Jiangsheng You; Ziqiang Chen; Jian Wu; Kehong Yuan; Datian Ye (ICMB, 2008)

On alpha-divergence based nonnegative matrix factorization for clustering cancer gene expression data. - Weixiang Liu; Kehong Yuan; Datian Ye (Artif. Intell. Medicine, 2008)

Sparse p-norm Nonnegative Matrix Factorization for clustering gene expression data. - Weixiang Liu; Kehong Yuan (Int. J. Data Min. Bioinform., 2008)

Combining Generalized NMF and Discriminative Mixture Models for Classification of Gene Expression Data. - Weixiang Liu; Kehong Yuan; Jian Wu; Datian Ye; Zhen Ji; Siping Chen (Int. J. Pattern Recognit. Artif. Intell., 2008)

Reducing microarray data via nonnegative matrix factorization for visualization and clustering analysis. - Weixiang Liu; Kehong Yuan; Datian Ye (J. Biomed. Informatics, 2008)

Sparse nonnegative matrix factorization with the elastic net. - Weixiang Liu; Songfeng Zheng; Sen Jia 001; LinLin Shen; Xianghua Fu (BIBM, 2010)

Selecting informative genes by Lasso and Dantzig selector for linear classifiers. - Songfeng Zheng; Weixiang Liu (BIBM, 2010)

Fitting Probit Regression using Functional Gradient Ascent for Cancer Classification. - Songfeng Zheng; Weixiang Liu (BIOCOMP, 2010)

Median Boost for Cancer Classification with Gene Expression Data. - Songfeng Zheng; Weixiang Liu (BIOCOMP, 2010)

Feature extraction and selection hybrid algorithm for hyperspectral imagery classification. - Sen Jia 001; Yuntao Qian; Jiming Li; Weixiang Liu; Zhen Ji (IGARSS, 2010)

An experimental comparison of gene selection by Lasso and Dantzig selector for cancer classification. - Songfeng Zheng; Weixiang Liu (Comput. Biol. Medicine, 2011)

Functional gradient ascent for Probit regression. - Songfeng Zheng; Weixiang Liu (Pattern Recognit., 2012)

Application on space-time coding technology in ultrasonic back-propagation method. - Xiaonian He; Weixiang Liu; Siping Chen; Zhengdi Qin (BIBM, 2013)

Regularized nonnegative matrix factorization for clustering gene expression data. - Weixiang Liu; Tianfu Wang 001; Siping Chen (BIBM, 2013)

Supervision on abnormal activities in vehicle inspection service by anomaly detection in bipartite graph. - Chenlu Qiu; Huiying Xu; Weixiang Liu (ICITE, 2016)

Fall detection for elderly person care using convolutional neural networks. - Xiaogang Li; Tiantian Pang; Weixiang Liu; Tianfu Wang 001 (CISP-BMEI, 2017)

Convolutional neural networks based transfer learning for diabetic retinopathy fundus image classification. - Xiaogang Li; Tiantian Pang; Biao Xiong; Weixiang Liu; Ping Liang; Tianfu Wang 001 (CISP-BMEI, 2017)

A novel automatic identification model for tracking dynamic brain functional networks at single-subject level. - Nizhuan Wang 001; Li Liu 001; Weixiang Liu; Hongjie Yan (ICIA, 2017)

Hybrid Iterative Reconstruction for Low Radiation Dose Computed Tomography. - Jinhua Sheng; Bin Chen; Bocheng Wang; Qingqiang Liu; Yangjie Ma; Weixiang Liu (ICONIP (6), 2018)

An Adjustable Dynamic Self-Adapting OSEM Approach to Low-Dose X-Ray CT Image Reconstruction. - Jinhua Sheng; Bin Chen; Bocheng Wang; Yangjie Ma; Qingqiang Liu; Weixiang Liu (ICONIP (6), 2018)

Hybrid Cardiac Imaging Integrating Elliptical Orbit SPECT With CT. - Jinhua Sheng; Yangjie Ma; Weixiang Liu; Qingqiang Liu (IEEE Access, 2019)

Improved parallel MR imaging with accurate coil sensitivity estimation using iterative adaptive support. - Jinhua Sheng; Bocheng Wang; Yangjie Ma; Qingqiang Liu; Weixiang Liu; Bin Chen; Meiling Shao (Biomed. Signal Process. Control., 2019)

Automated mammographic mass detection using deformable convolution and multiscale features. - Junchuan Peng; Changyu Bao; Chuting Hu; Xianming Wang; Wenjing Jian; Weixiang Liu (Medical Biol. Eng. Comput., 2020)

Classification of Obsessive-Compulsive Disorder Using Distance Correlation on Resting-State Functional MRI Images. - Qian Luo; Weixiang Liu; Lili Jin; Chunqi Chang; Ziwen Peng (Frontiers Neuroinformatics, 2021)

Breast cancer detection and classification in mammogram using a three-stage deep learning framework based on PAA algorithm. - Jiale Jiang; Junchuan Peng; Chuting Hu; Wenjing Jian; Xianming Wang; Weixiang Liu (Artif. Intell. Medicine, 2022)

Harmonizing Output Imbalance for semantic segmentation on extremely-imbalanced input data. - Jianye Yi; Xiaopin Zhong; Weixiang Liu; Zongze Wu 001; Yuanlong Deng (CoRR, 2022)

Predefined-Time Barrier Function Adaptive Sliding-Mode Control and Its Application to Piezoelectric Actuators. - Haifeng Ma; Weixiang Liu; Zhenhua Xiong; Yangmin Li 001; Zhanqiang Liu; Yuxin Sun (IEEE Trans. Ind. Informatics, 2022)

Edge-aware Plug-and-play Scheme for Semantic Segmentation. - Jianye Yi; Xiaopin Zhong; Weixiang Liu; Wenxuan Zhu; Zongze Wu 001; Yuanlong Deng (CoRR, 2023)

Perception Reinforcement Using Auxiliary Learning Feature Fusion: A Modified Yolov8 for Head Detection. - Jiezhou Chen; Guankun Wang; Weixiang Liu; Xiaopin Zhong; Yibin Tian; Zongze Wu 001 (CoRR, 2023)

G-SAM: A Robust One-Shot Keypoint Detection Framework for PnP Based Robot Pose Estimation. - Xiaopin Zhong; Wenxuan Zhu; Weixiang Liu; Jianye Yi; Chengxiang Liu; Zongze Wu 001 (J. Intell. Robotic Syst., 2023)

An Overview of Image Generation of Industrial Surface Defects. - Xiaopin Zhong; Junwei Zhu; Weixiang Liu; Chongxin Hu; Yuanlong Deng; Zongze Wu 001 (Sensors, 2023)

Comparison of six machine learning methods for differentiating benign and malignant thyroid nodules using ultrasonographic characteristics. - Jianguang Liang; Tiantian Pang; Weixiang Liu; Xiaogang Li; Leidan Huang; Xuehao Gong; Xianfen Diao (BMC Medical Imaging, 2023)

Improved PAA algorithm for breast mass detection in mammograms. - Weixiang Liu; Pengcheng Zeng; Jiale Jiang; Jingyang Chen; Linghao Chen; Chuting Hu; Wenjing Jian; Xianfen Diao; Xianming Wang (Comput. Methods Programs Biomed., 2024)

Segmentary group-sparsity self-representation learning and spectral clustering via double L21 norm. - Deyu Zeng; Chris Ding; Zongze Wu 001; Xiaopin Zhong; Weixiang Liu (Knowl. Based Syst., 2024)

Saturated Prescribed Space-Time Adaptive Sliding Mode Control With its Implementation on Piezo-Actuated Fast Steering Mirror. - Chao Liu 019; Weixiang Liu; Haifeng Ma; Zhenhua Xiong; Yangmin Li 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

Saturation-Tolerant Prescribed Instant Adaptive Integral Sliding Mode Control. - Weixiang Liu; Haifeng Ma; Zhanqiang Liu; Zhenhua Xiong; Yangmin Li 001 (IEEE Trans. Ind. Electron., 2024)

Mask focal loss: a unifying framework for dense crowd counting with canonical object detection networks. - Xiaopin Zhong; Guankun Wang; Weixiang Liu; Zongze Wu 001; Yuanlong Deng (Multim. Tools Appl., 2024)

Polar Edge Distance Loss in Edge-aware Plug-and-play Scheme for Semantic Segmentation. - Jianye Yi; Xiaopin Zhong; Weixiang Liu; Zongze Wu 001; Yuanlong Deng (Eng. Appl. Artif. Intell., 2025)

Adaptive fuzzy convolution networks for uncertainty-aware image analysis in ambiguous environments. - Saeed Iqbal; Xiaopin Zhong; Muhammad Attique Khan; Zongze Wu 001; Amir Hussain 001; Shrooq Alsenan; Weixiang Liu (Expert Syst. Appl., 2025)

FairBias: Mitigating bias in medical image diagnosis with mixed noise and class imbalance. - Saeed Iqbal; Xiaopin Zhong; Muhammad Attique Khan; Zongze Wu 001; Nouf Abdullah Almujally; Weixiang Liu; Amir Hussain 001 (Neurocomputing, 2025)

Continual and wisdom learning for federated learning: A comprehensive framework for robustness and debiasing. - Saeed Iqbal; Xiaopin Zhong; Muhammad Attique Khan; Zongze Wu 001; Dina Abdulaziz Alhammadi; Weixiang Liu; Imran Arshad Choudhry (Inf. Process. Manag., 2025)

Family-based continual learning for multi-domain pattern analysis in federated frameworks with GCN and ViT. - Saeed Iqbal; Xiaopin Zhong; Muhammad Attique Khan; Zongze Wu 002; Dina Abdulaziz Alhammadi; Weixiang Liu (Neural Networks, 2025)

Multimodal Task Representation Memory Bank vs. Catastrophic Forgetting in Anomaly Detection. - You Zhou; Jiangshan Zhao; Deyu Zeng; Zuo Zuo; Weixiang Liu; Zongze Wu 001 (CoRR, 2025)

Transforming Healthcare Diagnostics With Tensorized Attention and Continual Learning on Multi-Modal Data. - Saeed Iqbal; Xiaopin Zhong; Muhammad Attique Khan; Mohammad Shabaz; Zongze Wu 001; Dina Abdulaziz Alhammadi; Weixiang Liu; Shabbab Ali Algamdi; Yang Li 111 (IEEE Trans. Consumer Electron., 2025)

Hierarchical Continual Learning for Domain-Knowledge Retention in Healthcare Federated Learning. - Saeed Iqbal; Xiaopin Zhong; Muhammad Attique Khan; Zongze Wu 001; Dina Abdulaziz Alhammadi; Weixiang Liu; Imran Arshad Choudhry (IEEE Trans. Consumer Electron., 2025)