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ORCIDHe-Feng Yin
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- affiliation: Jiangnan University, School of Internet of Things Engineering, Wuxi, China
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2020 – today
- 2024
[j21]Ziqi Li, Yuxuan Su, Yonghong Zhang, Hefeng Yin, Jun Sun, Xiaojun Wu:
Remote sensing image classification method based on improved ShuffleNet convolutional neural network. Intell. Data Anal. 28(2): 397-414 (2024)- 2023
- [j20]Donglin Zhang
, Xiaojun Wu, Tianyang Xu, He-Feng Yin:
DAH: Discrete Asymmetric Hashing for Efficient Cross-Media Retrieval. IEEE Trans. Knowl. Data Eng. 35(2): 1365-1378 (2023) - 2022
- [j19]Shuangxi Wang, Hong-Wei Ge, Jianping Gou, Weihua Ou, He-Feng Yin, Shuzhi Su:
Fusion of effective dimension reduction and discriminative dictionary learning for high-dimensional classification. Comput. Electr. Eng. 99: 107684 (2022) - [j18]Shuangxi Wang, Hong-Wei Ge, Jianping Gou, Weihua Ou, He-Feng Yin, Guo-Qing Liu, Yeerjiang Halimu:
Kernelized discriminative-collaborative representation-based approach for pattern classification. Comput. Electr. Eng. 103: 108342 (2022) - [j17]He-Feng Yin, Xiao-Jun Wu, Xiaoning Song:
Competitive Non-negative Representation with Image Gradient Orientations for Face Recognition. Neural Process. Lett. 54(1): 657-675 (2022) - [i16]He-Feng Yin, Xiao-Jun Wu, Xiaoning Song:
Face recognition via compact second order image gradient orientations. CoRR abs/2201.09246 (2022) - 2021
- [j16]Dayi Yang, Xiao-Jun Wu, Hefeng Yin:
Blind image deblurring via enhanced sparse prior. J. Electronic Imaging 30(2): 023031 (2021) - [j15]Zhen Liu, Xiao-Jun Wu, Zhenqiu Shu, Hefeng Yin, Zhe Chen:
Weighted Discriminative Sparse Representation for Image Classification. Neural Process. Lett. 53(3): 2047-2065 (2021) - [j14]Donglin Zhang, Xiao-Jun Wu, He-Feng Yin, Josef Kittler:
MOON: Multi-hash codes joint learning for cross-media retrieval. Pattern Recognit. Lett. 151: 19-25 (2021) - [c7]Zhen Liu, Xiaojun Wu, Hefeng Yin, Tianyang Xu, Zhenqiu Shu:
Locality-Constrained Collaborative Representation with Multi-resolution Dictionary for Face Recognition. PRCV (1) 2021: 55-66 - [i15]Donglin Zhang, Xiao-Jun Wu, He-Feng Yin, Josef Kittler:
MOON: Multi-Hash Codes Joint Learning for Cross-Media Retrieval. CoRR abs/2109.00883 (2021) - 2020
- [j13]He-Feng Yin, Xiao-Jun Wu:
Class-specific residual constraint non-negative representation for pattern classification. J. Electronic Imaging 29(2): 023014 (2020) - [j12]Ziqi Li, Jun Sun, Xiao-Jun Wu, He-Feng Yin:
Learning efficient structured dictionary for image classification. J. Electronic Imaging 29(3): 033019 (2020) - [j11]Ziqi Li, Jun Sun, Xiaojun Wu, He-Feng Yin:
Multiplication fusion of sparse and collaborative-competitive representation for image classification. Int. J. Mach. Learn. Cybern. 11(10): 2357-2369 (2020) - [j10]He-Feng Yin, Xiao-Jun Wu, Josef Kittler, Zhen-Hua Feng:
Learning a representation with the block-diagonal structure for pattern classification. Pattern Anal. Appl. 23(3): 1381-1390 (2020) - [j9]Zhe Chen, Xiao-Jun Wu, He-Feng Yin, Josef Kittler:
Noise-robust dictionary learning with slack block-Diagonal structure for face recognition. Pattern Recognit. 100: 107118 (2020) - [i14]Zi-Qi Li, Jun Sun, Xiao-Jun Wu, He-Feng Yin:
Multiplication fusion of sparse and collaborative-competitive representation for image classification. CoRR abs/2001.07090 (2020) - [i13]Ning Yuan, Xiao-Jun Wu, He-Feng Yin:
Face Verification via learning the kernel matrix. CoRR abs/2001.07323 (2020) - [i12]Ziqi Li, Jun Sun, Xiao-Jun Wu, He-Feng Yin:
Learning efficient structured dictionary for image classification. CoRR abs/2002.03271 (2020) - [i11]He-Feng Yin, Xiao-Jun Wu, Zhen-Hua Feng, Josef Kittler:
Affine Non-negative Collaborative Representation Based Pattern Classification. CoRR abs/2007.05175 (2020)
2010 – 2019
- 2019
- [j8]He-Feng Yin, Xiao-Jun Wu, Sugen Chen:
Locality Constraint Dictionary Learning With Support Vector for Pattern Classification. IEEE Access 7: 175071-175082 (2019) - [j7]Ziqi Li, Jun Sun, Xiao-Jun Wu, Hefeng Yin:
Sparsity augmented weighted collaborative representation for image classification. J. Electronic Imaging 28(5): 053032 (2019) - [j6]Wenhua Dong, Xiao-Jun Wu, Josef Kittler, He-Feng Yin:
Sparse subspace clustering via nonconvex approximation. Pattern Anal. Appl. 22(1): 165-176 (2019) - [j5]Sugen Chen, Xiaojun Wu, Hefeng Yin:
A novel projection twin support vector machine for binary classification. Soft Comput. 23(2): 655-668 (2019) - [i10]Zhe Chen, Xiao-Jun Wu, He-Feng Yin, Josef Kittler:
Low-Rank Discriminative Least Squares Regression for Image Classification. CoRR abs/1903.07832 (2019) - [i9]He-Feng Yin, Xiao-Jun Wu:
Class-specific residual constraint non-negative representation for pattern classification. CoRR abs/1911.09953 (2019) - [i8]He-Feng Yin, Xiao-Jun Wu, Sugen Chen:
Locality Constraint Dictionary Learning with Support Vector for Pattern Classification. CoRR abs/1911.10003 (2019) - [i7]He-Feng Yin, Xiao-Jun Wu, Josef Kittler, Zhen-Hua Feng:
Learning a Representation with the Block-Diagonal Structure for Pattern Classification. CoRR abs/1911.10301 (2019) - [i6]He-Feng Yin, Xiao-Jun Wu, Josef Kittler:
Face Recognition via Locality Constrained Low Rank Representation and Dictionary Learning. CoRR abs/1912.03145 (2019) - [i5]Pei Xie, He-Feng Yin, Xiao-Jun Wu:
Low-rank representations with incoherent dictionary for face recognition. CoRR abs/1912.04478 (2019) - [i4]Wen Zhao, Xiao-Jun Wu, He-Feng Yin, Ziqi Li:
Collaborative representation-based robust face recognition by discriminative low-rank representation. CoRR abs/1912.07778 (2019) - [i3]Wen-Jin Fu, Xiao-Jun Wu, He-Feng Yin, Wen-Bo Hu:
Research on Clustering Performance of Sparse Subspace Clustering. CoRR abs/1912.10256 (2019) - [i2]Xing Liu, Xiao-Jun Wu, Zhen Liu, He-Feng Yin:
A Compared Study Between Some Subspace Based Algorithms. CoRR abs/1912.10657 (2019) - [i1]Xiao-Yun Cai, He-Feng Yin:
A sparsity augmented probabilistic collaborative representation based classification method. CoRR abs/1912.12044 (2019) - 2018
- [j4]Willem P. Koppen, Zhen-Hua Feng, Josef Kittler, Muhammad Awais, William J. Christmas, Xiaojun Wu, He-Feng Yin:
Gaussian mixture 3D morphable face model. Pattern Recognit. 74: 617-628 (2018) - [c6]Zhe Chen, Xiaojun Wu, He-Feng Yin, Josef Kittler:
Robust Low-Rank Recovery with a Distance-Measure Structure for Face Recognition. PRICAI 2018: 464-472 - 2017
- [j3]Sugen Chen, Xiaojun Wu, Hefeng Yin:
KPCA method based on within-class auxiliary training samples and its application to pattern classification. Pattern Anal. Appl. 20(3): 749-767 (2017) - 2016
- [j2]Junfeng Cao, Xiaojun Wu, Hefeng Yin:
An improved hybrid gradient variation level set method for image segmentation and bias correction. Int. J. Comput. Math. 93(11): 1886-1898 (2016) - [c5]Hefeng Yin, Xiaojun Wu:
Face Recognition Based on Structural Incoherence and Low Rank Projection. IDEAL 2016: 68-78 - 2015
- [j1]Hefeng Yin, Xiaojun Wu, Sugen Chen:
改进的局部稀疏表示分类算法及其在人脸识别中的应用 (Improved LSRC and its Application in Face Recognition). 计算机科学 42(8): 48-51 (2015) - [c4]Wen Zhao, Xiao-Jun Wu, He-Feng Yin:
Collaborative Representation-Based Robust Face Recognition by Discriminative Low-Rank Representation. SmartCity 2015: 21-27 - 2014
- [c3]He-Feng Yin, Xiao-Jun Wu, Xiao-Qi Sun:
Client Specific Image Gradient Orientation for Unimodal and Multimodal Face Representation. MPRSS 2014: 15-25 - 2013
- [c2]He-Feng Yin, Xiao-Jun Wu:
A New Feature Fusion Approach Based on LBP and Sparse Representation and Its Application to Face Recognition. MCS 2013: 364-373 - [c1]He-Feng Yin, Xiao-Jun Wu:
A New Weighted Sparse Representation Based on MSLBP and Its Application to Face Recognition. PSL 2013: 104-115
Coauthor Index
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