Zhaoshui He

According to our database, Zhaoshui He authored at least 58 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deep Dual Attention Network for Precise Diagnosis of COVID-19 From Chest CT Images.

Zhijie Lin, Zhaoshui He, Ruoyu Yao, Xu Wang, Taiheng Liu, Yamei Deng, Shengli Xie

IEEE Trans. Artif. Intell., January, 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

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., December, 2023

EAF-SR: an enhanced autoencoder framework for social recommendation.

Taiheng Liu, Zhaoshui He

Multim. Tools Appl., April, 2023

CGA-UNet: Category-Guide Attention U-Net for Dental Abnormality Detection and Segmentation From Dental-Maxillofacial Images.

Xu Wang, Zhaoshui He, Chang Liu, Bing Zhang, Zhijie Lin, Jing Guo, Shengli Xie

IEEE Trans. Instrum. Meas., 2023

Correlation-Aware Attention CycleGAN for Accurate Fetal ECG Extraction.

Xu Wang, Zhaoshui He, Zhijie Lin, Yang Han, Wenqing Su, Shengli Xie

IEEE Trans. Instrum. Meas., 2023

2022

PA²Net: Period-Aware Attention Network for Robust Fetal ECG Detection.

Xu Wang, Zhaoshui He, Zhijie Lin, Yang Han, Taiheng Liu, Jun Lu, Shengli Xie

IEEE Trans. Instrum. Meas., 2022

TAS²-Net: Triple-Attention Semantic Segmentation Network for Small Surface Defect Detection.

Taiheng Liu, Zhaoshui He

IEEE Trans. Instrum. Meas., 2022

Indicator-Based Evolutionary Algorithm for Solving Constrained Multiobjective Optimization Problems.

Jiawei Yuan, Hai-Lin Liu, Yew-Soon Ong, Zhaoshui He

IEEE Trans. Evol. Comput., 2022

A constrained multi-objective evolutionary algorithm using valuable infeasible solutions.

Jiawei Yuan, Hai-Lin Liu, Zhaoshui He

Swarm Evol. Comput., 2022

An attention-based network for serial number recognition on banknotes.

Zhijie Lin, Zhaoshui He, Beihai Tan, Yijiang Shen, Peitao Wang, Taiheng Liu

Signal Process. Image Commun., 2022

Fast multiplicative algorithms for symmetric nonnegative tensor factorization.

Peitao Wang, Zhaoshui He, Rong Yu, Beihai Tan, Shengli Xie, Ji Tan

Neurocomputing, 2022

DLIR: a deep learning-based initialization recommendation algorithm for trust-aware recommendation.

Taiheng Liu, Zhaoshui He

Appl. Intell., 2022

A novel personalized recommendation algorithm by exploiting individual trust and item's similarities.

Taiheng Liu, Zhaoshui He

Appl. Intell., 2022

Online Adaptive Identification and Switching of Soft Contact Model Based on ART-II Method.

Yi Liu, Di Wu, Fengtao Han, Jing Guo, Zhaoshui He, Chao Liu

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

AANet: Adaptive Attention Network for COVID-19 Detection From Chest X-Ray Images.

Zhijie Lin, Zhaoshui He, Shengli Xie, Xu Wang, Ji Tan, Jun Lu, Beihai Tan

IEEE Trans. Neural Networks Learn. Syst., 2021

Investigating the Properties of Indicators and an Evolutionary Many-Objective Algorithm Using Promising Regions.

Jiawei Yuan, Hai-Lin Liu, Fangqing Gu, Qingfu Zhang, Zhaoshui He

IEEE Trans. Evol. Comput., 2021

TCD-CF: Triple cross-domain collaborative filtering recommendation.

Taiheng Liu, Xiuqin Deng, Zhaoshui He, Yonghong Long

Pattern Recognit. Lett., 2021

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

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

Symmetry, 2020

SNRNet: A Deep Learning-Based Network for Banknote Serial Number Recognition.

Zhijie Lin, Zhaoshui He, Peitao Wang, Beihai Tan, Jun Lu, YuLei Bai

Neural Process. Lett., 2020

Domain adaptation with SBADA-GAN and Mean Teacher.

Chengjian Feng, Zhaoshui He, Jiawei Wang, Qinzhuang Lin, Zhouping Zhu, Jun Lu, Shengli Xie

Neurocomputing, 2020

2019

Visual Object Tracking Robust to Illumination Variation Based on Hyperline Clustering.

Senquan Yang, Yuan Xie, Pu Li, Haoxiang Wen, Huan Luo, Zhaoshui He

Inf., 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

Robust and Fast Magnetic Dipole Localization With Singular Value Truncated SDM.

Jun Lu, Manxi Xiao, Caibao Zhang, Zhaoshui He

IEEE Access, 2019

2018

Robust Latent Subspace Learning for Image Classification.

Xiaozhao Fang, Shaohua Teng, Zhihui Lai, Zhaoshui He, Shengli Xie, Wai Keung Wong

IEEE Trans. Neural Networks Learn. Syst., 2018

K-Hyperline Clustering-Based Color Image Segmentation Robust to Illumination Changes.

Senquan Yang, Pu Li, Haoxiang Wen, Yuan Xie, Zhaoshui He

Symmetry, 2018

2017

Rate of Convergence of the FOCUSS Algorithm.

Kan Xie, Zhaoshui He, Andrzej Cichocki, Xiaozhao Fang

IEEE Trans. Neural Networks Learn. Syst., 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, Zhaoshui He

IEEE Access, 2017

A Nonnegative Projection Based Algorithm for Low-Rank Nonnegative Matrix Approximation.

Peitao Wang, Zhaoshui He, Kan Xie, Junbin Gao, Michael Antolovich

Proceedings of the Neural Information Processing - 24th International Conference, 2017

An Improved Random Walk Algorithm for Interactive Image Segmentation.

Peitao Wang, Zhaoshui He, Shifeng Huang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds.

Ming Yin, Yi Guo, Junbin Gao, Zhaoshui He, Shengli Xie

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Convergence Analysis of the FOCUSS Algorithm.

Kan Xie, Zhaoshui He, Andrzej Cichocki

IEEE Trans. Neural Networks Learn. Syst., 2015

2014

A multiplicative update algorithm for nonnegative convex polyhedral cone learning.

Qizhao Cai, Kan Xie, Zhaoshui He

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2012

Nesterov's Iterations for NMF-Based Supervised Classification of Texture Patterns.

Rafal Zdunek, Zhaoshui He

Proceedings of the Latent Variable Analysis and Signal Separation, 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

Proceedings of the 20th European Signal Processing Conference, 2012

Canonical Polyadic Decomposition: From 3-way to N-Way.

Guoxu Zhou, Zhaoshui He, Yu Zhang, Qibin Zhao, Andrzej Cichocki

Proceedings of the Eighth International Conference on Computational Intelligence and Security, 2012

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

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

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

Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

2010

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

2009

Improved FOCUSS Method With Conjugate Gradient Iterations.

Zhaoshui He, Andrzej Cichocki, Rafal Zdunek, Shengli Xie

IEEE Trans. Signal Process., 2009

K-hyperline clustering learning for sparse component analysis.

Zhaoshui He, Andrzej Cichocki, Yuanqing Li, Shengli Xie, Saeid Sanei

Signal Process., 2009

2008

A Note on Lewicki-Sejnowski Gradient for Learning Overcomplete Representations.

Zhaoshui He, Shengli Xie, Liqing Zhang, Andrzej Cichocki

Neural Comput., 2008

Adaptive blind separation of underdetermined mixtures based on sparse component analysis.

Zuyuan Yang, Zhaoshui He, Shengli Xie, Yuli Fu

Sci. China Ser. F Inf. Sci., 2008

CG-M-FOCUSS and Its Application to Distributed Compressed Sensing.

Zhaoshui He, Andrzej Cichocki, Rafal Zdunek, Jianting Cao

Proceedings of the Advances in Neural Networks, 2008

Tomographic image reconstruction from limited-view projections with Wiener filtered focuss algorithm.

Rafal Zdunek, Zhaoshui He, Andrzej Cichocki

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Blind Deconvolution Algorithm for MIMO Channel.

Min Zhao, Zhaoshui He, Shengli Xie

Proceedings of the 2008 International Conference on Computational Intelligence and Security, 2008

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

An Efficient <i>K</i> -Hyperplane Clustering Algorithm and Its Application to Sparse Component Analysis.

Zhaoshui He, Andrzej Cichocki

Proceedings of the Advances in Neural Networks, 2007

2006

Sparse representation and blind source separation of ill-posed mixtures.

Zhaoshui He, Shengli Xie, Yuli Fu

Sci. China Ser. F Inf. Sci., 2006

Identification of Mixing Matrix in Blind Source Separation.

Xiaolu Li, Zhaoshui He

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

K-Hyperplanes Clustering and Its Application to Sparse Component Analysis.

Zhaoshui He, Andrzej Cichocki, Shengli Xie

Proceedings of the Neural Information Processing, 13th International Conference, 2006

Extended SMART Algorithms for Non-negative Matrix Factorization .

Andrzej Cichocki, Shun-ichi Amari, Rafal Zdunek, Raul Kompass, Gen Hori, Zhaoshui He

Proceedings of the Artificial Intelligence and Soft Computing, 2006

K-EVD Clustering and Its Applications to Sparse Component Analysis.

Zhaoshui He, Andrzej Cichocki

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

2005

A Note on Stone's Conjecture of Blind Signal Separation.

Shengli Xie, Zhaoshui He, Yuli Fu

Neural Comput., 2005

FIR Convolutive BSS Based on Sparse Representation.

Zhaoshui He, Shengli Xie, Yuli Fu

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

2004

An approach to blind separation based on penalty function with multipliers.

Zhaoshui He, Shengli Xie, Yuli Fu

Proceedings of the 8th International Conference on Control, 2004