Zhaoshui He

74 papers A* 2B 1C 2Misc 1Journal 55Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Conic Hull Fitting-Based Dictionary Matrix Learning for Nonnegative Matrix Factorization.
IEEE Trans. Syst. Man Cybern. Syst.
Zhijie Lin, Zhaoshui He, Hao Liang, Wenqing Su, Beihai Tan, Ji Tan
2026 J jnl
Cross-reality Location Privacy Protection in 6G-enabled Vehicular Metaverses: An LLM-enhanced Hybrid Generative Diffusion Model-based Approach.
CoRR
Xiaofeng Luo, Jiayi He, Jiawen Kang, Ruichen Zhang, Zhaoshui He, Ekram Hossain, Dong In Kim
2026 J jnl
RAIFE-Net: A Region-Aware Implicit Feature Extraction Network for Acupoint Detection.
IEEE Internet Things J.
Zihang He, Zhaoshui He, Jing Guo, Xu Wang, Zhijie Lin, Hao Liang, Liqiang Zhang, Xingfang Pan, Lianqi Geng
2025 J jnl
A Collaborative Learning Framework With Coupling Graph Transformers for 3D Tooth Segmentation.
IEEE Trans. Multim.
Zhijie Lin, Zhaoshui He, Chang Liu, Hao Liang, Wenqing Su, Ji Tan, Jing Guo
2025 J jnl
A High-Order Fully Actuated-Based Backstepping Tracking Scheme of Underactuated Systems.
IEEE CAA J. Autom. Sinica
Yuxin Feng, Yang Liu, Zhaoshui He, Hongyi Li
2025 J jnl
Adaptive RoI-aware network for accurate banknote recognition using natural images.
Soft Comput.
Zhijie Lin, Zhaoshui He, Jing Wang, Xu Wang, Wenqing Su, Peitao Wang, Hao Liang
2025 J jnl
Cross-Scale Fuzzy Holistic Attention Network for Diabetic Retinopathy Grading From Fundus Images.
IEEE Trans. Emerg. Top. Comput. Intell.
Zhijie Lin, Zhaoshui He, Xu Wang, Wenqing Su, Ji Tan, Yamei Deng, Shengli Xie
2025 J jnl
HGG-Net: Hierarchical Geometry Generation Network for Point Cloud Completion.
IEEE Trans. Intell. Transp. Syst.
Hao Liang, Zhaoshui He, Xu Wang, Wenqing Su, Ji Tan, Shengli Xie
2025 J jnl
Multimodal Fusion Network for 3-D Lane Detection.
IEEE Trans. Neural Networks Learn. Syst.
Taiheng Liu, Guang-Zhong Cao, Zhaoshui He, Shengli Xie, Xiuqin Deng
2025 J jnl
PRA-Net: Polymorphic Representation-Aware Network for Accurate Cardiac Arrhythmia Detection From Electrocardiogram Signals.
IEEE Trans. Instrum. Meas.
Xu Wang, Zhaoshui He, Zhijie Lin, Yang Han, Wenqing Su, Beihai Tan, Shengli Xie
2025 J jnl
Taming large language models to implement diagnosis and evaluating the generation of LLMs at the semantic similarity level in acupuncture and moxibustion.
Expert Syst. Appl.
Shusheng Li, Wenjun Tan, Changshuai Zhang, Jiale Li, Haiyan Ren, Yanliang Guo, Jing Jia, Yangyang Liu, Xingfang Pan, Jing Guo, Wei Meng, Zhaoshui He
2024 J jnl
Accelerating Robust-Object-Tracking via Level-3 BLAS-Based Sparse Learning.
IEEE Trans. Circuits Syst. Video Technol.
Zhaoshui He, Hao Liang, Senquan Yang, Wenqing Su, Peitao Wang, Zhijie Lin, Beihai Tan, Shengli Xie
2024 J jnl
An Adaptive Image Segmentation Network for Surface Defect Detection.
IEEE Trans. Neural Networks Learn. Syst.
Taiheng Liu, Zhaoshui He, Zhijie Lin, Guang-Zhong Cao, Wenqing Su, Shengli Xie
2024 J jnl
Cross-Scale Hybrid Gaussian Attention Network for Object Detection in Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett.
Zhijie Lin, Zhaoshui He, Xu Wang, Hao Liang, Wenqing Su, Ji Tan, Shengli Xie
2024 J jnl
DBGANet: Dual-Branch Geometric Attention Network for Accurate 3D Tooth Segmentation.
IEEE Trans. Circuits Syst. Video Technol.
Zhijie Lin, Zhaoshui He, Xu Wang, Bing Zhang, Chang Liu, Wenqing Su, Ji Tan, Shengli Xie
2024 J jnl
Deep Dual Attention Network for Precise Diagnosis of COVID-19 From Chest CT Images.
IEEE Trans. Artif. Intell.
Zhijie Lin, Zhaoshui He, Ruoyu Yao, Xu Wang, Taiheng Liu, Yamei Deng, Shengli Xie
2024 J jnl
Refined Defect Detector With Deformable Transformer and Pyramid Feature Fusion for PCB Detection.
IEEE Trans. Instrum. Meas.
Taiheng Liu, Guang-Zhong Cao, Zhaoshui He, Shengli Xie
2023 J jnl
CGA-UNet: Category-Guide Attention U-Net for Dental Abnormality Detection and Segmentation From Dental-Maxillofacial Images.
IEEE Trans. Instrum. Meas.
Xu Wang, Zhaoshui He, Chang Liu, Bing Zhang, Zhijie Lin, Jing Guo, Shengli Xie
2023 J jnl
CLAD-Net: cross-layer aggregation attention network for real-time endoscopic instrument detection.
Health Inf. Sci. Syst.
Xiushun Zhao, Jing Guo, Zhaoshui He, Xiaobing Jiang, Haifang Lou, Depei Li
2023 J jnl
Correlation-Aware Attention CycleGAN for Accurate Fetal ECG Extraction.
IEEE Trans. Instrum. Meas.
Xu Wang, Zhaoshui He, Zhijie Lin, Yang Han, Wenqing Su, Shengli Xie
2023 J jnl
EAF-SR: an enhanced autoencoder framework for social recommendation.
Multim. Tools Appl.
Taiheng Liu, Zhaoshui He
2022 J jnl
A constrained multi-objective evolutionary algorithm using valuable infeasible solutions.
Swarm Evol. Comput.
Jiawei Yuan, Hai-Lin Liu, Zhaoshui He
2022 J jnl
A novel personalized recommendation algorithm by exploiting individual trust and item's similarities.
Appl. Intell.
Taiheng Liu, Zhaoshui He
2022 J jnl
An attention-based network for serial number recognition on banknotes.
Signal Process. Image Commun.
Zhijie Lin, Zhaoshui He, Beihai Tan, Yijiang Shen, Peitao Wang, Taiheng Liu
2022 J jnl
DLIR: a deep learning-based initialization recommendation algorithm for trust-aware recommendation.
Appl. Intell.
Taiheng Liu, Zhaoshui He
2022 J jnl
Fast multiplicative algorithms for symmetric nonnegative tensor factorization.
Neurocomputing
Peitao Wang, Zhaoshui He, Rong Yu, Beihai Tan, Shengli Xie, Ji Tan
2022 J jnl
Indicator-Based Evolutionary Algorithm for Solving Constrained Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput.
Jiawei Yuan, Hai-Lin Liu, Yew-Soon Ong, Zhaoshui He
2022 A* conf
Online Adaptive Identification and Switching of Soft Contact Model Based on ART-II Method.
ICRA
Yi Liu, Di Wu, Fengtao Han, Jing Guo, Zhaoshui He, Chao Liu
2022 J jnl
PA²Net: Period-Aware Attention Network for Robust Fetal ECG Detection.
IEEE Trans. Instrum. Meas.
Xu Wang, Zhaoshui He, Zhijie Lin, Yang Han, Taiheng Liu, Jun Lu, Shengli Xie
2022 J jnl
TAS
IEEE Trans. Instrum. Meas.
Taiheng Liu, Zhaoshui He
2021 J jnl
AANet: Adaptive Attention Network for COVID-19 Detection From Chest X-Ray Images.
IEEE Trans. Neural Networks Learn. Syst.
Zhijie Lin, Zhaoshui He, Shengli Xie, Xu Wang, Ji Tan, Jun Lu, Beihai Tan
2021 J jnl
Investigating the Properties of Indicators and an Evolutionary Many-Objective Algorithm Using Promising Regions.
IEEE Trans. Evol. Comput.
Jiawei Yuan, Hai-Lin Liu, Fangqing Gu, Qingfu Zhang, Zhaoshui He
2021 J jnl
TCD-CF: Triple cross-domain collaborative filtering recommendation.
Pattern Recognit. Lett.
Taiheng Liu, Xiuqin Deng, Zhaoshui He, Yonghong Long
2020 J jnl
An Accelerated Symmetric Nonnegative Matrix Factorization Algorithm Using Extrapolation.
Symmetry
Peitao Wang, Zhaoshui He, Jun Lu, Beihai Tan, YuLei Bai, Ji Tan, Taiheng Liu, Zhijie Lin
2020 J jnl
Domain adaptation with SBADA-GAN and Mean Teacher.
Neurocomputing
Chengjian Feng, Zhaoshui He, Jiawei Wang, Qinzhuang Lin, Zhouping Zhu, Jun Lu, Shengli Xie
2020 J jnl
Eliminating the Permutation Ambiguity of Convolutive Blind Source Separation by Using Coupled Frequency Bins.
IEEE Trans. Neural Networks Learn. Syst.
Kan Xie, Guoxu Zhou, Junjie Yang, Zhaoshui He, Shengli Xie
2020 J jnl
SNRNet: A Deep Learning-Based Network for Banknote Serial Number Recognition.
Neural Process. Lett.
Zhijie Lin, Zhaoshui He, Peitao Wang, Beihai Tan, Jun Lu, YuLei Bai
2019 J jnl
A hybrid algorithm for low-rank approximation of nonnegative matrix factorization.
Neurocomputing
Peitao Wang, Zhaoshui He, Kan Xie, Junbin Gao, Michael Antolovich, Beihai Tan
2019 J jnl
Robust and Fast Magnetic Dipole Localization With Singular Value Truncated SDM.
IEEE Access
Jun Lu, Manxi Xiao, Caibao Zhang, Zhaoshui He
2019 J jnl
Visual Object Tracking Robust to Illumination Variation Based on Hyperline Clustering.
Inf.
Senquan Yang, Yuan Xie, Pu Li, Haoxiang Wen, Huan Luo, Zhaoshui He
2018 J jnl
K-Hyperline Clustering-Based Color Image Segmentation Robust to Illumination Changes.
Symmetry
Senquan Yang, Pu Li, Haoxiang Wen, Yuan Xie, Zhaoshui He
2018 J jnl
Robust Latent Subspace Learning for Image Classification.
IEEE Trans. Neural Networks Learn. Syst.
Xiaozhao Fang, Shaohua Teng, Zhihui Lai, Zhaoshui He, Shengli Xie, Wai Keung Wong
2017 — conf
A Nonnegative Projection Based Algorithm for Low-Rank Nonnegative Matrix Approximation.
ICONIP (1)
Peitao Wang, Zhaoshui He, Kan Xie, Junbin Gao, Michael Antolovich
2017 — conf
An Improved Random Walk Algorithm for Interactive Image Segmentation.
ICONIP (3)
Peitao Wang, Zhaoshui He, Shifeng Huang
2017 J jnl
Low-Sparsity Unobservable Attacks Against Smart Grid: Attack Exposure Analysis and a Data-Driven Attack Scheme.
IEEE Access
Shengli Xie, Junjie Yang, Kan Xie, Yi Liu, Zhaoshui He
2017 J jnl
Rate of Convergence of the FOCUSS Algorithm.
IEEE Trans. Neural Networks Learn. Syst.
Kan Xie, Zhaoshui He, Andrzej Cichocki, Xiaozhao Fang
2016 A* conf
Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds.
CVPR
Ming Yin, Yi Guo, Junbin Gao, Zhaoshui He, Shengli Xie
2016 J jnl
Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds.
CoRR
Ming Yin, Yi Guo, Junbin Gao, Zhaoshui He, Shengli Xie
2015 J jnl
Convergence Analysis of the FOCUSS Algorithm.
IEEE Trans. Neural Networks Learn. Syst.
Kan Xie, Zhaoshui He, Andrzej Cichocki
2014 B conf
A multiplicative update algorithm for nonnegative convex polyhedral cone learning.
IJCNN
Qizhao Cai, Kan Xie, Zhaoshui He
2012 C conf
Canonical Polyadic Decomposition: From 3-way to N-Way.
CIS
Guoxu Zhou, Zhaoshui He, Yu Zhang, Qibin Zhao, Andrzej Cichocki
2012 — conf
Fast and effective model order selection method to determine the number of sources in a linear transformation model.
EUSIPCO
Fengyu Cong, Asoke K. Nandi, Zhaoshui He, Andrzej Cichocki, Tapani Ristaniemi
2012 — conf
Nesterov's Iterations for NMF-Based Supervised Classification of Texture Patterns.
LVA/ICA
Rafal Zdunek, Zhaoshui He
2011 — conf
Determining the number of sources in high-density EEG recordings of event-related potentials by model order selection.
MLSP
Fengyu Cong, Zhaoshui He, Jarmo A. Hämäläinen, Andrzej Cichocki, Tapani Ristaniemi
2011 J jnl
Minimum-Volume-Constrained Nonnegative Matrix Factorization: Enhanced Ability of Learning Parts.
IEEE Trans. Neural Networks
Guoxu Zhou, Shengli Xie, Zuyuan Yang, Jun-Mei Yang, Zhaoshui He
2011 J jnl
Symmetric Nonnegative Matrix Factorization: Algorithms and Applications to Probabilistic Clustering.
IEEE Trans. Neural Networks
Zhaoshui He, Shengli Xie, Rafal Zdunek, Guoxu Zhou, Andrzej Cichocki
2010 J jnl
Detecting the Number of Clusters in n-Way Probabilistic Clustering.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhaoshui He, Andrzej Cichocki, Shengli Xie, Kyuwan Choi
2009 J jnl
Improved FOCUSS Method With Conjugate Gradient Iterations.
IEEE Trans. Signal Process.
Zhaoshui He, Andrzej Cichocki, Rafal Zdunek, Shengli Xie
2009 J jnl
K-hyperline clustering learning for sparse component analysis.
Signal Process.
Zhaoshui He, Andrzej Cichocki, Yuanqing Li, Shengli Xie, Saeid Sanei
2008 J jnl
A Note on Lewicki-Sejnowski Gradient for Learning Overcomplete Representations.
Neural Comput.
Zhaoshui He, Shengli Xie, Liqing Zhang, Andrzej Cichocki
2008 J jnl
Adaptive blind separation of underdetermined mixtures based on sparse component analysis.
Sci. China Ser. F Inf. Sci.
Zuyuan Yang, Zhaoshui He, Shengli Xie, Yuli Fu
2008 — conf
Blind Deconvolution Algorithm for MIMO Channel.
CIS (1)
Min Zhao, Zhaoshui He, Shengli Xie
2008 — conf
CG-M-FOCUSS and Its Application to Distributed Compressed Sensing.
ISNN (1)
Zhaoshui He, Andrzej Cichocki, Rafal Zdunek, Jianting Cao
2008 — conf
Tomographic image reconstruction from limited-view projections with Wiener filtered focuss algorithm.
ISBI
Rafal Zdunek, Zhaoshui He, Andrzej Cichocki
2007 — conf
An Efficient
ISNN (2)
Zhaoshui He, Andrzej Cichocki
2007 J jnl
Convolutive Blind Source Separation in the Frequency Domain Based on Sparse Representation.
IEEE Trans. Speech Audio Process.
Zhaoshui He, Shengli Xie, Shuxue Ding, Andrzej Cichocki
2006 Misc conf
Extended SMART Algorithms for Non-negative Matrix Factorization .
ICAISC
Andrzej Cichocki, Shun-ichi Amari, Rafal Zdunek, Raul Kompass, Gen Hori, Zhaoshui He
2006 — conf
Identification of Mixing Matrix in Blind Source Separation.
ISNN (1)
Xiaolu Li, Zhaoshui He
2006 — conf
K-EVD Clustering and Its Applications to Sparse Component Analysis.
ICA
Zhaoshui He, Andrzej Cichocki
2006 — conf
K-Hyperplanes Clustering and Its Application to Sparse Component Analysis.
ICONIP (1)
Zhaoshui He, Andrzej Cichocki, Shengli Xie
2006 J jnl
Sparse representation and blind source separation of ill-posed mixtures.
Sci. China Ser. F Inf. Sci.
Zhaoshui He, Shengli Xie, Yuli Fu
2005 J jnl
A Note on Stone's Conjecture of Blind Signal Separation.
Neural Comput.
Shengli Xie, Zhaoshui He, Yuli Fu
2005 — conf
FIR Convolutive BSS Based on Sparse Representation.
ISNN (2)
Zhaoshui He, Shengli Xie, Yuli Fu
2004 C conf
An approach to blind separation based on penalty function with multipliers.
ICARCV
Zhaoshui He, Shengli Xie, Yuli Fu