Weixiang Liu - RankMe

67 papers C 1Journal 46Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Causal continual unlearning with disentangled anomaly representations for private industrial vision. Inf. Process. Manag. Saeed Iqbal, Xiaopin Zhong, Muhammad Attique Khan, Zongze Wu, Nouf Abdullah Almujally, Weixiang Liu, Amir Hussain
2026	J	`jnl`	Core unlearning: A multi-modal gradient-efficient architecture for exact and approximate model rewriting. Inf. Process. Manag. Saeed Iqbal, Xiaopin Zhong, Muhammad Attique Khan, Zongze Wu, Nouf Abdullah Almujally, Weixiang Liu, Amir Hussain
2026	J	`jnl`	Cross-modal invariant learning with latent diffusion for reliable medical diagnosis under dynamic shifts. Neurocomputing Saeed Iqbal, Xiaopin Zhong, Muhammad Attique Khan, Zongze Wu, Nouf Abdullah Almujally, Weixiang Liu, Amir Hussain, Björn W. Schuller
2026	J	`jnl`	DCGSeg: Distance correlation graph for nonlinear inter-class relation distillation in continual semantic segmentation. Neurocomputing Weixiang Liu, Jianbin Huang, Deyu Zeng, Jiawei Pan, Zongze Wu, Xiaopin Zhong, Yuanlong Deng
2026	J	`jnl`	Development and validation of an Interpretable Machine learning model for Discriminating between benign and malignant breast cancer. Int. J. Medical Informatics Zhichun Wang, Weixiang Liu, Lin Hua, Xiang Li, Guohui Xue
2026	J	`jnl`	PConv-UNet: Multi-scale pinwheel convolutions for breast ultrasound tumor segmentation. Displays Chen Wang, Yongbin Zhu, Rentingzhu Wu, Fengyuan Shi, Qi Li, Weixiang Liu, Keli Hu
2026	J	`jnl`	TADynFed: Dynamic modality-adaptive federated learning with tissue-aware disentanglement for cross-disease analysis. Artif. Intell. Medicine Saeed Iqbal, Xiaopin Zhong, Muhammad Attique Khan, Zongze Wu, Nouf Abdullah Almujally, Weixiang Liu, Amir Hussain
2025	J	`jnl`	Adaptive fuzzy convolution networks for uncertainty-aware image analysis in ambiguous environments. Expert Syst. Appl. Saeed Iqbal, Xiaopin Zhong, Muhammad Attique Khan, Zongze Wu, Amir Hussain, Shrooq Alsenan, Weixiang Liu
2025	J	`jnl`	Continual and wisdom learning for federated learning: A comprehensive framework for robustness and debiasing. Inf. Process. Manag. Saeed Iqbal, Xiaopin Zhong, Muhammad Attique Khan, Zongze Wu, Dina Abdulaziz Alhammadi, Weixiang Liu, Imran Arshad Choudhry
2025	J	`jnl`	Contrastive Multiview Low-Rank Latent Subspace Self-Representation and Classification Network. IEEE Trans. Syst. Man Cybern. Syst. Deyu Zeng, Tengyu Zhang, Zongze Wu, Wei Liu, Chris Ding, Weixiang Liu
2025	J	`jnl`	FairBias: Mitigating bias in medical image diagnosis with mixed noise and class imbalance. Neurocomputing Saeed Iqbal, Xiaopin Zhong, Muhammad Attique Khan, Zongze Wu, Nouf Abdullah Almujally, Weixiang Liu, Amir Hussain
2025	J	`jnl`	Family-based continual learning for multi-domain pattern analysis in federated frameworks with GCN and ViT. Neural Networks Saeed Iqbal, Xiaopin Zhong, Muhammad Attique Khan, Zongze Wu, Dina Abdulaziz Alhammadi, Weixiang Liu
2025	J	`jnl`	FusionGCNN: An IoT-Based Novel Spatiotemporal Graph Convolutional Network for ECG Arrhythmia Detection. IEEE Internet Things J. Saeed Iqbal, Xiaopin Zhong, Musaed A. Alhussein, Zongze Wu, Khursheed Aurangzeb, Weixiang Liu, Yudong Zhang
2025	J	`jnl`	Hierarchical Continual Learning for Domain-Knowledge Retention in Healthcare Federated Learning. IEEE Trans. Consumer Electron. Saeed Iqbal, Xiaopin Zhong, Muhammad Attique Khan, Zongze Wu, Dina Abdulaziz Alhammadi, Weixiang Liu, Imran Arshad Choudhry
2025	—	`conf`	MSA-Net: Masked Separable Attention Network for Breast Ultrasound Tumor Segmentation. BIBM Chen Wang, Yongbin Zhu, Qi Li, Shengdong Zhang, Weixiang Liu
2025	J	`jnl`	Multimodal Task Representation Memory Bank vs. Catastrophic Forgetting in Anomaly Detection. CoRR You Zhou, Jiangshan Zhao, Deyu Zeng, Zuo Zuo, Weixiang Liu, Zongze Wu
2025	J	`jnl`	Polar Edge Distance Loss in Edge-aware Plug-and-play Scheme for Semantic Segmentation. Eng. Appl. Artif. Intell. Jianye Yi, Xiaopin Zhong, Weixiang Liu, Zongze Wu, Yuanlong Deng
2025	—	`conf`	Tcmid-Miml: Tcm Intelligent Diagnosis With Multi-Instance Multi-Label Learning. BIBM Junjie Zhang, Weixiang Liu, Mengjian Zhang, Tao Yang, Kongfa Hu
2025	J	`jnl`	Transforming Healthcare Diagnostics With Tensorized Attention and Continual Learning on Multi-Modal Data. IEEE Trans. Consumer Electron. Saeed Iqbal, Xiaopin Zhong, Muhammad Attique Khan, Mohammad Shabaz, Zongze Wu, Dina Abdulaziz Alhammadi, Weixiang Liu, Shabbab Ali Algamdi, Yang Li
2024	J	`jnl`	Improved PAA algorithm for breast mass detection in mammograms. Comput. Methods Programs Biomed. Weixiang Liu, Pengcheng Zeng, Jiale Jiang, Jingyang Chen, Linghao Chen, Chuting Hu, Wenjing Jian, Xianfen Diao, Xianming Wang
2024	J	`jnl`	Mask focal loss: a unifying framework for dense crowd counting with canonical object detection networks. Multim. Tools Appl. Xiaopin Zhong, Guankun Wang, Weixiang Liu, Zongze Wu, Yuanlong Deng
2024	J	`jnl`	Saturated Prescribed Space-Time Adaptive Sliding Mode Control With its Implementation on Piezo-Actuated Fast Steering Mirror. IEEE Trans. Circuits Syst. II Express Briefs Chao Liu, Weixiang Liu, Haifeng Ma, Zhenhua Xiong, Yangmin Li
2024	J	`jnl`	Saturation-Tolerant Prescribed Instant Adaptive Integral Sliding Mode Control. IEEE Trans. Ind. Electron. Weixiang Liu, Haifeng Ma, Zhanqiang Liu, Zhenhua Xiong, Yangmin Li
2024	J	`jnl`	Segmentary group-sparsity self-representation learning and spectral clustering via double L21 norm. Knowl. Based Syst. Deyu Zeng, Chris Ding, Zongze Wu, Xiaopin Zhong, Weixiang Liu
2023	J	`jnl`	An Overview of Image Generation of Industrial Surface Defects. Sensors Xiaopin Zhong, Junwei Zhu, Weixiang Liu, Chongxin Hu, Yuanlong Deng, Zongze Wu
2023	J	`jnl`	Comparison of six machine learning methods for differentiating benign and malignant thyroid nodules using ultrasonographic characteristics. BMC Medical Imaging Jianguang Liang, Tiantian Pang, Weixiang Liu, Xiaogang Li, Leidan Huang, Xuehao Gong, Xianfen Diao
2023	J	`jnl`	Edge-aware Plug-and-play Scheme for Semantic Segmentation. CoRR Jianye Yi, Xiaopin Zhong, Weixiang Liu, Wenxuan Zhu, Zongze Wu, Yuanlong Deng
2023	J	`jnl`	G-SAM: A Robust One-Shot Keypoint Detection Framework for PnP Based Robot Pose Estimation. J. Intell. Robotic Syst. Xiaopin Zhong, Wenxuan Zhu, Weixiang Liu, Jianye Yi, Chengxiang Liu, Zongze Wu
2023	J	`jnl`	Perception Reinforcement Using Auxiliary Learning Feature Fusion: A Modified Yolov8 for Head Detection. CoRR Jiezhou Chen, Guankun Wang, Weixiang Liu, Xiaopin Zhong, Yibin Tian, Zongze Wu
2022	J	`jnl`	Breast cancer detection and classification in mammogram using a three-stage deep learning framework based on PAA algorithm. Artif. Intell. Medicine Jiale Jiang, Junchuan Peng, Chuting Hu, Wenjing Jian, Xianming Wang, Weixiang Liu
2022	J	`jnl`	Harmonizing Output Imbalance for semantic segmentation on extremely-imbalanced input data. CoRR Jianye Yi, Xiaopin Zhong, Weixiang Liu, Zongze Wu, Yuanlong Deng
2022	J	`jnl`	Mask Focal Loss: A unifying framework for dense crowd counting with canonical object detection networks. CoRR Xiaopin Zhong, Guankun Wang, Weixiang Liu, Zongze Wu, Yuanlong Deng
2022	J	`jnl`	Predefined-Time Barrier Function Adaptive Sliding-Mode Control and Its Application to Piezoelectric Actuators. IEEE Trans. Ind. Informatics Haifeng Ma, Weixiang Liu, Zhenhua Xiong, Yangmin Li, Zhanqiang Liu, Yuxin Sun
2021	J	`jnl`	Classification of Obsessive-Compulsive Disorder Using Distance Correlation on Resting-State Functional MRI Images. Frontiers Neuroinformatics Qian Luo, Weixiang Liu, Lili Jin, Chunqi Chang, Ziwen Peng
2020	J	`jnl`	Automated mammographic mass detection using deformable convolution and multiscale features. Medical Biol. Eng. Comput. Junchuan Peng, Changyu Bao, Chuting Hu, Xianming Wang, Wenjing Jian, Weixiang Liu
2019	J	`jnl`	Hybrid Cardiac Imaging Integrating Elliptical Orbit SPECT With CT. IEEE Access Jinhua Sheng, Yangjie Ma, Weixiang Liu, Qingqiang Liu
2019	J	`jnl`	Improved parallel MR imaging with accurate coil sensitivity estimation using iterative adaptive support. Biomed. Signal Process. Control. Jinhua Sheng, Bocheng Wang, Yangjie Ma, Qingqiang Liu, Weixiang Liu, Bin Chen, Meiling Shao
2018	—	`conf`	An Adjustable Dynamic Self-Adapting OSEM Approach to Low-Dose X-Ray CT Image Reconstruction. ICONIP (6) Jinhua Sheng, Bin Chen, Bocheng Wang, Yangjie Ma, Qingqiang Liu, Weixiang Liu
2018	—	`conf`	Hybrid Iterative Reconstruction for Low Radiation Dose Computed Tomography. ICONIP (6) Jinhua Sheng, Bin Chen, Bocheng Wang, Qingqiang Liu, Yangjie Ma, Weixiang Liu
2017	—	`conf`	A novel automatic identification model for tracking dynamic brain functional networks at single-subject level. ICIA Nizhuan Wang, Li Liu, Weixiang Liu, Hongjie Yan
2017	—	`conf`	Convolutional neural networks based transfer learning for diabetic retinopathy fundus image classification. CISP-BMEI Xiaogang Li, Tiantian Pang, Biao Xiong, Weixiang Liu, Ping Liang, Tianfu Wang
2017	—	`conf`	Fall detection for elderly person care using convolutional neural networks. CISP-BMEI Xiaogang Li, Tiantian Pang, Weixiang Liu, Tianfu Wang
2016	—	`conf`	Supervision on abnormal activities in vehicle inspection service by anomaly detection in bipartite graph. ICITE Chenlu Qiu, Huiying Xu, Weixiang Liu
2013	—	`conf`	Application on space-time coding technology in ultrasonic back-propagation method. BIBM Xiaonian He, Weixiang Liu, Siping Chen, Zhengdi Qin
2013	—	`conf`	Regularized nonnegative matrix factorization for clustering gene expression data. BIBM Weixiang Liu, Tianfu Wang, Siping Chen
2012	J	`jnl`	Functional gradient ascent for Probit regression. Pattern Recognit. Songfeng Zheng, Weixiang Liu
2011	J	`jnl`	An experimental comparison of gene selection by Lasso and Dantzig selector for cancer classification. Comput. Biol. Medicine Songfeng Zheng, Weixiang Liu
2010	C	`conf`	Feature extraction and selection hybrid algorithm for hyperspectral imagery classification. IGARSS Sen Jia, Yuntao Qian, Jiming Li, Weixiang Liu, Zhen Ji
2010	—	`conf`	Fitting Probit Regression using Functional Gradient Ascent for Cancer Classification. BIOCOMP Songfeng Zheng, Weixiang Liu
2010	—	`conf`	Median Boost for Cancer Classification with Gene Expression Data. BIOCOMP Songfeng Zheng, Weixiang Liu
2010	—	`conf`	Selecting informative genes by Lasso and Dantzig selector for linear classifiers. BIBM Songfeng Zheng, Weixiang Liu
2010	—	`conf`	Sparse nonnegative matrix factorization with the elastic net. BIBM Weixiang Liu, Songfeng Zheng, Sen Jia, Linlin Shen, Xianghua Fu
2008	—	`conf`	Brain CT Image Feature Extraction Using Nonnegative Tensor Factorization. IWCIA Special Track on Applications Jiying Zou, Kehong Yuan, Weixiang Liu, Shu Feng, Ziqiang Chen, Wufan Chen
2008	J	`jnl`	Combining Generalized NMF and Discriminative Mixture Models for Classification of Gene Expression Data. Int. J. Pattern Recognit. Artif. Intell. Weixiang Liu, Kehong Yuan, Jian Wu, Datian Ye, Zhen Ji, Siping Chen
2008	J	`jnl`	On alpha-divergence based nonnegative matrix factorization for clustering cancer gene expression data. Artif. Intell. Medicine Weixiang Liu, Kehong Yuan, Datian Ye
2008	J	`jnl`	Reducing microarray data via nonnegative matrix factorization for visualization and clustering analysis. J. Biomed. Informatics Weixiang Liu, Kehong Yuan, Datian Ye
2008	—	`conf`	Semantic Feature Extraction for Brain CT Image Clustering Using Nonnegative Matrix Factorization. ICMB Weixiang Liu, Fei Peng, Shu Feng, Jiangsheng You, Ziqiang Chen, Jian Wu, Kehong Yuan, Datian Ye
2008	J	`jnl`	Sparse p-norm Nonnegative Matrix Factorization for clustering gene expression data. Int. J. Data Min. Bioinform. Weixiang Liu, Kehong Yuan
2006	J	`jnl`	Learning Sparse Mixture Models for Discriminative Classification. Int. J. Pattern Recognit. Artif. Intell. Weixiang Liu, Nanning Zheng, Songfeng Zheng
2005	J	`jnl`	Erratum to: "Non-negative matrix factorization based methods for object recognition" [Pattern Recognition Letters 25 (2004) 893-897]. Pattern Recognit. Lett. Weixiang Liu, Nanning Zheng
2005	—	`conf`	Natural image matting with non-negative matrix factorization. ICIP (2) Kun Wang, Nanning Zheng, Weixiang Liu
2004	J	`jnl`	Learning sparse features for classification by mixture models. Pattern Recognit. Lett. Weixiang Liu, Nanning Zheng
2004	J	`jnl`	Non-negative matrix factorization based methods for object recognition. Pattern Recognit. Lett. Weixiang Liu, Nanning Zheng
2004	—	`conf`	Nonnegative Matrix Factorization for EEG Signal Classification. ISNN (2) Weixiang Liu, Nanning Zheng, Xi Li
2004	J	`jnl`	Relative gradient speeding up additive updates for nonnegative matrix factorization. Neurocomputing Weixiang Liu, Nanning Zheng, Xi Li
2003	—	`conf`	Learning features from examples for face detection. ICASSP (2) Xiaofeng Lu, Songfeng Zheng, Nanning Zheng, Weixiang Liu
2003	—	`conf`	Non-negative matrix factorization for visual coding. ICASSP (3) Weixiang Liu, Nanning Zheng, Xiaofeng Lu