An approach to blind separation based on penalty function with multipliers. - Zhaoshui He; Shengli Xie; Yuli Fu 001 (ICARCV, 2004)

FIR Convolutive BSS Based on Sparse Representation. - Zhaoshui He; Shengli Xie; Yuli Fu 001 (ISNN (2), 2005)

A Note on Stone's Conjecture of Blind Signal Separation. - Shengli Xie; Zhaoshui He; Yuli Fu 001 (Neural Comput., 2005)

K-EVD Clustering and Its Applications to Sparse Component Analysis. - Zhaoshui He; Andrzej Cichocki (ICA, 2006)

Extended SMART Algorithms for Non-negative Matrix Factorization . - Andrzej Cichocki; Shun-ichi Amari; Rafal Zdunek; Raul Kompass; Gen Hori; Zhaoshui He (ICAISC, 2006)

K-Hyperplanes Clustering and Its Application to Sparse Component Analysis. - Zhaoshui He; Andrzej Cichocki; Shengli Xie (ICONIP (1), 2006)

Identification of Mixing Matrix in Blind Source Separation. - Xiaolu Li; Zhaoshui He (ISNN (1), 2006)

Sparse representation and blind source separation of ill-posed mixtures. - Zhaoshui He; Shengli Xie; Yuli Fu 001 (Sci. China Ser. F Inf. Sci., 2006)

An Efficient K -Hyperplane Clustering Algorithm and Its Application to Sparse Component Analysis. - Zhaoshui He; Andrzej Cichocki (ISNN (2), 2007)

Convolutive Blind Source Separation in the Frequency Domain Based on Sparse Representation. - Zhaoshui He; Shengli Xie; Shuxue Ding; Andrzej Cichocki (IEEE Trans. Speech Audio Process., 2007)

Blind Deconvolution Algorithm for MIMO Channel. - Min Zhao; Zhaoshui He; Shengli Xie (CIS (1), 2008)

Tomographic image reconstruction from limited-view projections with Wiener filtered focuss algorithm. - Rafal Zdunek; Zhaoshui He; Andrzej Cichocki (ISBI, 2008)

CG-M-FOCUSS and Its Application to Distributed Compressed Sensing. - Zhaoshui He; Andrzej Cichocki; Rafal Zdunek; Jianting Cao (ISNN (1), 2008)

Adaptive blind separation of underdetermined mixtures based on sparse component analysis. - Zuyuan Yang; Zhaoshui He; Shengli Xie; Yuli Fu 001 (Sci. China Ser. F Inf. Sci., 2008)

A Note on Lewicki-Sejnowski Gradient for Learning Overcomplete Representations. - Zhaoshui He; Shengli Xie; Liqing Zhang 001; Andrzej Cichocki (Neural Comput., 2008)

K-hyperline clustering learning for sparse component analysis. - Zhaoshui He; Andrzej Cichocki; Yuanqing Li 001; Shengli Xie; Saeid Sanei (Signal Process., 2009)

Improved FOCUSS Method With Conjugate Gradient Iterations. - Zhaoshui He; Andrzej Cichocki; Rafal Zdunek; Shengli Xie (IEEE Trans. Signal Process., 2009)

Detecting the Number of Clusters in n-Way Probabilistic Clustering. - Zhaoshui He; Andrzej Cichocki; Shengli Xie; Kyuwan Choi (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Determining the number of sources in high-density EEG recordings of event-related potentials by model order selection. - Fengyu Cong; Zhaoshui He; Jarmo A. Hämäläinen; Andrzej Cichocki; Tapani Ristaniemi (MLSP, 2011)

Symmetric Nonnegative Matrix Factorization: Algorithms and Applications to Probabilistic Clustering. - Zhaoshui He; Shengli Xie; Rafal Zdunek; Guoxu Zhou; Andrzej Cichocki (IEEE Trans. Neural Networks, 2011)

Minimum-Volume-Constrained Nonnegative Matrix Factorization: Enhanced Ability of Learning Parts. - Guoxu Zhou; Shengli Xie; Zuyuan Yang; Jun-Mei Yang; Zhaoshui He (IEEE Trans. Neural Networks, 2011)

Canonical Polyadic Decomposition: From 3-way to N-Way. - Guoxu Zhou; Zhaoshui He; Yu Zhang 009; Qibin Zhao; Andrzej Cichocki (CIS, 2012)

Fast and effective model order selection method to determine the number of sources in a linear transformation model. - Fengyu Cong; Asoke K. Nandi; Zhaoshui He; Andrzej Cichocki; Tapani Ristaniemi (EUSIPCO, 2012)

Nesterov's Iterations for NMF-Based Supervised Classification of Texture Patterns. - Rafal Zdunek; Zhaoshui He (LVA/ICA, 2012)

A multiplicative update algorithm for nonnegative convex polyhedral cone learning. - Qizhao Cai; Kan Xie; Zhaoshui He (IJCNN, 2014)

Convergence Analysis of the FOCUSS Algorithm. - Kan Xie; Zhaoshui He; Andrzej Cichocki (IEEE Trans. Neural Networks Learn. Syst., 2015)

Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds. - Ming Yin 002; Yi Guo 001; Junbin Gao; Zhaoshui He; Shengli Xie (CVPR, 2016)

An Improved Random Walk Algorithm for Interactive Image Segmentation. - Peitao Wang; Zhaoshui He; Shifeng Huang (ICONIP (3), 2017)

A Nonnegative Projection Based Algorithm for Low-Rank Nonnegative Matrix Approximation. - Peitao Wang; Zhaoshui He; Kan Xie; Junbin Gao; Michael Antolovich (ICONIP (1), 2017)

Low-Sparsity Unobservable Attacks Against Smart Grid: Attack Exposure Analysis and a Data-Driven Attack Scheme. - Shengli Xie; Junjie Yang; Kan Xie; Yi Liu 015; Zhaoshui He (IEEE Access, 2017)

Rate of Convergence of the FOCUSS Algorithm. - Kan Xie; Zhaoshui He; Andrzej Cichocki; Xiaozhao Fang (IEEE Trans. Neural Networks Learn. Syst., 2017)

K-Hyperline Clustering-Based Color Image Segmentation Robust to Illumination Changes. - Senquan Yang; Pu Li 002; Haoxiang Wen; Yuan Xie 007; Zhaoshui He (Symmetry, 2018)

Robust Latent Subspace Learning for Image Classification. - Xiaozhao Fang; Shaohua Teng; Zhihui Lai 001; Zhaoshui He; Shengli Xie; Wai Keung Wong (IEEE Trans. Neural Networks Learn. Syst., 2018)

Robust and Fast Magnetic Dipole Localization With Singular Value Truncated SDM. - Jun Lu; Manxi Xiao; Caibao Zhang; Zhaoshui He (IEEE Access, 2019)

A hybrid algorithm for low-rank approximation of nonnegative matrix factorization. - Peitao Wang; Zhaoshui He; Kan Xie; Junbin Gao; Michael Antolovich; Beihai Tan (Neurocomputing, 2019)

Visual Object Tracking Robust to Illumination Variation Based on Hyperline Clustering. - Senquan Yang; Yuan Xie 007; Pu Li 002; Haoxiang Wen; Huan Luo; Zhaoshui He (Inf., 2019)

Domain adaptation with SBADA-GAN and Mean Teacher. - Chengjian Feng; Zhaoshui He; Jiawei Wang 025; Qinzhuang Lin; Zhouping Zhu; Jun Lu; Shengli Xie (Neurocomputing, 2020)

SNRNet: A Deep Learning-Based Network for Banknote Serial Number Recognition. - Zhijie Lin 003; Zhaoshui He; Peitao Wang; Beihai Tan; Jun Lu; YuLei Bai (Neural Process. Lett., 2020)

An Accelerated Symmetric Nonnegative Matrix Factorization Algorithm Using Extrapolation. - Peitao Wang; Zhaoshui He; Jun Lu; Beihai Tan; YuLei Bai; Ji Tan; Taiheng Liu; Zhijie Lin 003 (Symmetry, 2020)

Eliminating the Permutation Ambiguity of Convolutive Blind Source Separation by Using Coupled Frequency Bins. - Kan Xie; Guoxu Zhou; Junjie Yang; Zhaoshui He; Shengli Xie (IEEE Trans. Neural Networks Learn. Syst., 2020)

TCD-CF: Triple cross-domain collaborative filtering recommendation. - Taiheng Liu; Xiuqin Deng; Zhaoshui He; Yonghong Long (Pattern Recognit. Lett., 2021)

Investigating the Properties of Indicators and an Evolutionary Many-Objective Algorithm Using Promising Regions. - Jiawei Yuan; Hai-Lin Liu 001; Fangqing Gu; Qingfu Zhang 001; Zhaoshui He (IEEE Trans. Evol. Comput., 2021)

AANet: Adaptive Attention Network for COVID-19 Detection From Chest X-Ray Images. - Zhijie Lin 003; Zhaoshui He; Shengli Xie; Xu Wang 031; Ji Tan; Jun Lu; Beihai Tan (IEEE Trans. Neural Networks Learn. Syst., 2021)

Online Adaptive Identification and Switching of Soft Contact Model Based on ART-II Method. - Yi Liu 068; Di Wu; Fengtao Han; Jing Guo; Zhaoshui He; Chao Liu 003 (ICRA, 2022)

A novel personalized recommendation algorithm by exploiting individual trust and item's similarities. - Taiheng Liu; Zhaoshui He (Appl. Intell., 2022)

DLIR: a deep learning-based initialization recommendation algorithm for trust-aware recommendation. - Taiheng Liu; Zhaoshui He (Appl. Intell., 2022)

Fast multiplicative algorithms for symmetric nonnegative tensor factorization. - Peitao Wang; Zhaoshui He; Rong Yu 001; Beihai Tan; Shengli Xie; Ji Tan (Neurocomputing, 2022)

An attention-based network for serial number recognition on banknotes. - Zhijie Lin 003; Zhaoshui He; Beihai Tan; Yijiang Shen; Peitao Wang; Taiheng Liu (Signal Process. Image Commun., 2022)

A constrained multi-objective evolutionary algorithm using valuable infeasible solutions. - Jiawei Yuan; Hai-Lin Liu 001; Zhaoshui He (Swarm Evol. Comput., 2022)

Indicator-Based Evolutionary Algorithm for Solving Constrained Multiobjective Optimization Problems. - Jiawei Yuan; Hai-Lin Liu 001; Yew-Soon Ong; Zhaoshui He (IEEE Trans. Evol. Comput., 2022)

TAS2-Net: Triple-Attention Semantic Segmentation Network for Small Surface Defect Detection. - Taiheng Liu; Zhaoshui He (IEEE Trans. Instrum. Meas., 2022)

PA²Net: Period-Aware Attention Network for Robust Fetal ECG Detection. - Xu Wang 031; Zhaoshui He; Zhijie Lin 003; Yang Han; Taiheng Liu; Jun Lu; Shengli Xie (IEEE Trans. Instrum. Meas., 2022)

Correlation-Aware Attention CycleGAN for Accurate Fetal ECG Extraction. - Xu Wang 031; Zhaoshui He; Zhijie Lin 003; Yang Han; Wenqing Su; Shengli Xie (IEEE Trans. Instrum. Meas., 2023)

CGA-UNet: Category-Guide Attention U-Net for Dental Abnormality Detection and Segmentation From Dental-Maxillofacial Images. - Xu Wang 031; Zhaoshui He; Chang Liu 098; Bing Zhang 022; Zhijie Lin 003; Jing Guo; Shengli Xie (IEEE Trans. Instrum. Meas., 2023)

EAF-SR: an enhanced autoencoder framework for social recommendation. - Taiheng Liu; Zhaoshui He (Multim. Tools Appl., 2023)

CLAD-Net: cross-layer aggregation attention network for real-time endoscopic instrument detection. - Xiushun Zhao; Jing Guo; Zhaoshui He; Xiaobing Jiang; Haifang Lou; Depei Li (Health Inf. Sci. Syst., 2023)

Cross-Scale Hybrid Gaussian Attention Network for Object Detection in Remote Sensing Images. - Zhijie Lin 003; Zhaoshui He; Xu Wang 031; Hao Liang 010; Wenqing Su; Ji Tan; Shengli Xie (IEEE Geosci. Remote. Sens. Lett., 2024)

Accelerating Robust-Object-Tracking via Level-3 BLAS-Based Sparse Learning. - Zhaoshui He; Hao Liang 010; Senquan Yang; Wenqing Su; Peitao Wang; Zhijie Lin 003; Beihai Tan; Shengli Xie (IEEE Trans. Circuits Syst. Video Technol., 2024)

Refined Defect Detector With Deformable Transformer and Pyramid Feature Fusion for PCB Detection. - Taiheng Liu; Guang-Zhong Cao; Zhaoshui He; Shengli Xie (IEEE Trans. Instrum. Meas., 2024)

Deep Dual Attention Network for Precise Diagnosis of COVID-19 From Chest CT Images. - Zhijie Lin 003; Zhaoshui He; Ruoyu Yao; Xu Wang 031; Taiheng Liu; Yamei Deng; Shengli Xie (IEEE Trans. Artif. Intell., 2024)

DBGANet: Dual-Branch Geometric Attention Network for Accurate 3D Tooth Segmentation. - Zhijie Lin 003; Zhaoshui He; Xu Wang 031; Bing Zhang 022; Chang Liu 098; Wenqing Su; Ji Tan; Shengli Xie (IEEE Trans. Circuits Syst. Video Technol., 2024)

An Adaptive Image Segmentation Network for Surface Defect Detection. - Taiheng Liu; Zhaoshui He; Zhijie Lin 003; Guang-Zhong Cao; Wenqing Su; Shengli Xie (IEEE Trans. Neural Networks Learn. Syst., 2024)

Taming large language models to implement diagnosis and evaluating the generation of LLMs at the semantic similarity level in acupuncture and moxibustion. - Shusheng Li; Wenjun Tan; Changshuai Zhang; Jiale Li; Haiyan Ren; Yanliang Guo; Jing Jia; Yangyang Liu; Xingfang Pan; Jing Guo; Wei Meng; Zhaoshui He (Expert Syst. Appl., 2025)

PRA-Net: Polymorphic Representation-Aware Network for Accurate Cardiac Arrhythmia Detection From Electrocardiogram Signals. - Xu Wang 031; Zhaoshui He; Zhijie Lin 003; Yang Han; Wenqing Su; Beihai Tan; Shengli Xie (IEEE Trans. Instrum. Meas., 2025)

Adaptive RoI-aware network for accurate banknote recognition using natural images. - Zhijie Lin 003; Zhaoshui He; Jing Wang; Xu Wang 031; Wenqing Su; Peitao Wang; Hao Liang 010 (Soft Comput., 2025)

Multimodal Fusion Network for 3-D Lane Detection. - Taiheng Liu; Guang-Zhong Cao; Zhaoshui He; Shengli Xie; Xiuqin Deng (IEEE Trans. Neural Networks Learn. Syst., 2025)

Cross-Scale Fuzzy Holistic Attention Network for Diabetic Retinopathy Grading From Fundus Images. - Zhijie Lin 003; Zhaoshui He; Xu Wang 031; Wenqing Su; Ji Tan; Yamei Deng; Shengli Xie (IEEE Trans. Emerg. Top. Comput. Intell., 2025)