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Zhaoshui He
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2020 – today
- 2024
- [j42]Zhijie Lin
, Zhaoshui He
Cross-Scale Hybrid Gaussian Attention Network for Object Detection in Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j41]Zhijie Lin
Deep Dual Attention Network for Precise Diagnosis of COVID-19 From Chest CT Images. IEEE Trans. Artif. Intell. 5(1): 104-114 (2024) - [j40]Zhijie Lin
DBGANet: Dual-Branch Geometric Attention Network for Accurate 3D Tooth Segmentation. IEEE Trans. Circuits Syst. Video Technol. 34(6): 4285-4298 (2024) - [j39]Taiheng Liu
Refined Defect Detector With Deformable Transformer and Pyramid Feature Fusion for PCB Detection. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j38]Taiheng Liu
An Adaptive Image Segmentation Network for Surface Defect Detection. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8510-8523 (2024) - 2023
- [j37]Xiushun Zhao, Jing Guo, Zhaoshui He, Xiaobing Jiang, Haifang Lou, Depei Li:
CLAD-Net: cross-layer aggregation attention network for real-time endoscopic instrument detection. Health Inf. Sci. Syst. 11(1): 58 (2023) - [j36]Taiheng Liu
EAF-SR: an enhanced autoencoder framework for social recommendation. Multim. Tools Appl. 82(10): 14837-14858 (2023) - [j35]Xu Wang
Correlation-Aware Attention CycleGAN for Accurate Fetal ECG Extraction. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j34]Xu Wang
CGA-UNet: Category-Guide Attention U-Net for Dental Abnormality Detection and Segmentation From Dental-Maxillofacial Images. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - 2022
- [j33]Taiheng Liu
A novel personalized recommendation algorithm by exploiting individual trust and item's similarities. Appl. Intell. 52(6): 6007-6021 (2022) - [j32]Taiheng Liu
DLIR: a deep learning-based initialization recommendation algorithm for trust-aware recommendation. Appl. Intell. 52(10): 11103-11114 (2022) - [j31]Peitao Wang, Zhaoshui He, Rong Yu, Beihai Tan, Shengli Xie, Ji Tan:
Fast multiplicative algorithms for symmetric nonnegative tensor factorization. Neurocomputing 500: 255-267 (2022) - [j30]Zhijie Lin, Zhaoshui He, Beihai Tan, Yijiang Shen, Peitao Wang, Taiheng Liu:
An attention-based network for serial number recognition on banknotes. Signal Process. Image Commun. 106: 116732 (2022) - [j29]Jiawei Yuan
A constrained multi-objective evolutionary algorithm using valuable infeasible solutions. Swarm Evol. Comput. 68: 101020 (2022) - [j28]Jiawei Yuan
Indicator-Based Evolutionary Algorithm for Solving Constrained Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. 26(2): 379-391 (2022) - [j27]Taiheng Liu
TAS2-Net: Triple-Attention Semantic Segmentation Network for Small Surface Defect Detection. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j26]Xu Wang
PA²Net: Period-Aware Attention Network for Robust Fetal ECG Detection. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [c19]Yi Liu
Online Adaptive Identification and Switching of Soft Contact Model Based on ART-II Method. ICRA 2022: 8855-8861 - 2021
- [j25]Taiheng Liu, Xiuqin Deng, Zhaoshui He, Yonghong Long:
TCD-CF: Triple cross-domain collaborative filtering recommendation. Pattern Recognit. Lett. 149: 185-192 (2021) - [j24]Jiawei Yuan
Investigating the Properties of Indicators and an Evolutionary Many-Objective Algorithm Using Promising Regions. IEEE Trans. Evol. Comput. 25(1): 75-86 (2021) - [j23]Zhijie Lin
AANet: Adaptive Attention Network for COVID-19 Detection From Chest X-Ray Images. IEEE Trans. Neural Networks Learn. Syst. 32(11): 4781-4792 (2021) - 2020
- [j22]Chengjian Feng, Zhaoshui He, Jiawei Wang, Qinzhuang Lin, Zhouping Zhu, Jun Lu, Shengli Xie:
Domain adaptation with SBADA-GAN and Mean Teacher. Neurocomputing 396: 577-586 (2020) - [j21]Zhijie Lin, Zhaoshui He
SNRNet: A Deep Learning-Based Network for Banknote Serial Number Recognition. Neural Process. Lett. 52(2): 1415-1426 (2020) - [j20]Peitao Wang, Zhaoshui He, Jun Lu, Beihai Tan, YuLei Bai, Ji Tan
An Accelerated Symmetric Nonnegative Matrix Factorization Algorithm Using Extrapolation. Symmetry 12(7): 1187 (2020) - [j19]Kan Xie
Eliminating the Permutation Ambiguity of Convolutive Blind Source Separation by Using Coupled Frequency Bins. IEEE Trans. Neural Networks Learn. Syst. 31(2): 589-599 (2020)
2010 – 2019
- 2019
- [j18]Jun Lu
Robust and Fast Magnetic Dipole Localization With Singular Value Truncated SDM. IEEE Access 7: 94300-94309 (2019) - [j17]Peitao Wang
A hybrid algorithm for low-rank approximation of nonnegative matrix factorization. Neurocomputing 364: 129-137 (2019) - [j16]Senquan Yang
Visual Object Tracking Robust to Illumination Variation Based on Hyperline Clustering. Inf. 10(1): 26 (2019) - 2018
- [j15]Senquan Yang
K-Hyperline Clustering-Based Color Image Segmentation Robust to Illumination Changes. Symmetry 10(11): 610 (2018) - [j14]Xiaozhao Fang, Shaohua Teng
Robust Latent Subspace Learning for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2502-2515 (2018) - 2017
- [j13]Shengli Xie, Junjie Yang
Low-Sparsity Unobservable Attacks Against Smart Grid: Attack Exposure Analysis and a Data-Driven Attack Scheme. IEEE Access 5: 8183-8193 (2017) - [j12]Kan Xie, Zhaoshui He, Andrzej Cichocki, Xiaozhao Fang:
Rate of Convergence of the FOCUSS Algorithm. IEEE Trans. Neural Networks Learn. Syst. 28(6): 1276-1289 (2017) - [c18]Peitao Wang, Zhaoshui He, Shifeng Huang:
An Improved Random Walk Algorithm for Interactive Image Segmentation. ICONIP (3) 2017: 151-159 - [c17]Peitao Wang, Zhaoshui He, Kan Xie, Junbin Gao
A Nonnegative Projection Based Algorithm for Low-Rank Nonnegative Matrix Approximation. ICONIP (1) 2017: 240-247 - 2016
- [c16]Ming Yin
Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds. CVPR 2016: 5157-5164 - [i1]Ming Yin, Yi Guo, Junbin Gao, Zhaoshui He, Shengli Xie:
Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds. CoRR abs/1601.00414 (2016) - 2015
- [j11]Kan Xie, Zhaoshui He, Andrzej Cichocki
Convergence Analysis of the FOCUSS Algorithm. IEEE Trans. Neural Networks Learn. Syst. 26(3): 601-613 (2015) - 2014
- [c15]Qizhao Cai, Kan Xie, Zhaoshui He:
A multiplicative update algorithm for nonnegative convex polyhedral cone learning. IJCNN 2014: 1339-1343 - 2012
- [c14]Guoxu Zhou
Canonical Polyadic Decomposition: From 3-way to N-Way. CIS 2012: 391-395 - [c13]Fengyu Cong, Asoke K. Nandi, Zhaoshui He, Andrzej Cichocki, Tapani Ristaniemi:
Fast and effective model order selection method to determine the number of sources in a linear transformation model. EUSIPCO 2012: 1870-1874 - [c12]Rafal Zdunek
Nesterov's Iterations for NMF-Based Supervised Classification of Texture Patterns. LVA/ICA 2012: 478-485 - 2011
- [j10]Guoxu Zhou
Minimum-Volume-Constrained Nonnegative Matrix Factorization: Enhanced Ability of Learning Parts. IEEE Trans. Neural Networks 22(10): 1626-1637 (2011) - [j9]Zhaoshui He, Shengli Xie, Rafal Zdunek
Symmetric Nonnegative Matrix Factorization: Algorithms and Applications to Probabilistic Clustering. IEEE Trans. Neural Networks 22(12): 2117-2131 (2011) - [c11]Fengyu Cong
Determining the number of sources in high-density EEG recordings of event-related potentials by model order selection. MLSP 2011: 1-6 - 2010
- [j8]Zhaoshui He, Andrzej Cichocki
Detecting the Number of Clusters in n-Way Probabilistic Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 32(11): 2006-2021 (2010)
2000 – 2009
- 2009
- [j7]Zhaoshui He, Andrzej Cichocki
K-hyperline clustering learning for sparse component analysis. Signal Process. 89(6): 1011-1022 (2009) - [j6]Zhaoshui He, Andrzej Cichocki
Improved FOCUSS Method With Conjugate Gradient Iterations. IEEE Trans. Signal Process. 57(1): 399-404 (2009) - 2008
- [j5]Zuyuan Yang, Zhaoshui He, Shengli Xie, Yuli Fu:
Adaptive blind separation of underdetermined mixtures based on sparse component analysis. Sci. China Ser. F Inf. Sci. 51(4): 381-393 (2008) - [j4]Zhaoshui He, Shengli Xie, Liqing Zhang, Andrzej Cichocki
A Note on Lewicki-Sejnowski Gradient for Learning Overcomplete Representations. Neural Comput. 20(3): 636-643 (2008) - [c10]Min Zhao, Zhaoshui He, Shengli Xie:
Blind Deconvolution Algorithm for MIMO Channel. CIS (1) 2008: 470-474 - [c9]Rafal Zdunek
Tomographic image reconstruction from limited-view projections with Wiener filtered focuss algorithm. ISBI 2008: 768-771 - [c8]Zhaoshui He, Andrzej Cichocki, Rafal Zdunek, Jianting Cao:
CG-M-FOCUSS and Its Application to Distributed Compressed Sensing. ISNN (1) 2008: 237-245 - 2007
- [j3]Zhaoshui He, Shengli Xie, Shuxue Ding, Andrzej Cichocki
Convolutive Blind Source Separation in the Frequency Domain Based on Sparse Representation. IEEE Trans. Speech Audio Process. 15(5): 1551-1563 (2007) - [c7]Zhaoshui He, Andrzej Cichocki:
An Efficient K -Hyperplane Clustering Algorithm and Its Application to Sparse Component Analysis. ISNN (2) 2007: 1032-1041 - 2006
- [j2]Zhaoshui He, Shengli Xie, Yuli Fu:
Sparse representation and blind source separation of ill-posed mixtures. Sci. China Ser. F Inf. Sci. 49(5): 639-652 (2006) - [c6]Zhaoshui He, Andrzej Cichocki
K-EVD Clustering and Its Applications to Sparse Component Analysis. ICA 2006: 90-97 - [c5]Andrzej Cichocki
Extended SMART Algorithms for Non-negative Matrix Factorization . ICAISC 2006: 548-562 - [c4]Zhaoshui He, Andrzej Cichocki, Shengli Xie:
K-Hyperplanes Clustering and Its Application to Sparse Component Analysis. ICONIP (1) 2006: 1038-1047 - [c3]Xiaolu Li, Zhaoshui He:
Identification of Mixing Matrix in Blind Source Separation. ISNN (1) 2006: 1171-1176 - 2005
- [j1]Shengli Xie, Zhaoshui He, Yuli Fu:
A Note on Stone's Conjecture of Blind Signal Separation. Neural Comput. 17(2): 321-330 (2005) - [c2]Zhaoshui He, Shengli Xie, Yuli Fu:
FIR Convolutive BSS Based on Sparse Representation. ISNN (2) 2005: 532-537 - 2004
- [c1]Zhaoshui He, Shengli Xie, Yuli Fu:
An approach to blind separation based on penalty function with multipliers. ICARCV 2004: 2326-2330
Coauthor Index
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last updated on 2024-08-20 22:55 CEST by the dblp team
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