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Hong Li 0009
Person information
- affiliation (PhD 1999): Huazhong University of Science and Technology, School of Mathematics and Statistics, Wuhan, China
Other persons with the same name
- Hong Li — disambiguation page
- Hong Li 0001 — DFKI, Language Technology Lab, Saarbrücken, Germany
- Hong Li 0002 — Beijing Jiaotong University, School of Electrical Engineering, China (and 1 more)
- Hong Li 0003 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Hong Li 0004 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing Key Laboratory of IOT Information Security, China
- Hong Li 0005 — Xianyang Normal University, School of Computer Science, China (and 1 more)
- Hong Li 0006 — Inner Mongolia University, School of Mathematical Sciences, Hohhot, China
- Hong Li 0007 — Xidian University, School of Mathematics and Statistics, National Key Laboratory of Antennas and Microwave Technology, Xi'an, China
- Hong Li 0008 — University of Lapland, Rovaniemi, Finland
- Hong Li 0010 — Nanjing University of Aeronautics and Astronautics, College of Automation Engineering, China
- Hong Li 0011 — New Jersey Institute of Technology, Center for Wireless Communication and Signal Processing Research, Newark, NJ, USA
- Hong Li 0012 — NXP Semiconductors, Eindhoven, The Netherlands (and 3 more)
- Hong Li 0013 — Chinese Academy of Sciences, Shanghai Institutes for Biological Sciences, Key Laboratory of Computational Biology, China
- Hong Li 0014 — East Carolina University, Department of Information Management Systems, Greenville, NC, USA
- Hong Li 0015 — Shanghai Jiao Tong University, Shanghai, China (and 2 more)
- Hong Li 0016 — Beihang University, Beijing, China
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2020 – today
- 2024
- [j57]Junhong Chen, Hong Li, C. L. Philip Chen:
Boosting sharpness-aware training with dynamic neighborhood. Pattern Recognit. 153: 110496 (2024) - [j56]Chunbo Cheng, Liming Zhang, Hong Li, Wenjing Cui, Junbin Gao, Yuxiao Cun:
A Deep High-Order Tensor Sparse Representation for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j55]Chunbo Cheng, Liming Zhang, Hong Li, Lei Dai, Wenjing Cui:
A Deep Stochastic Adaptive Fourier Decomposition Network for Hyperspectral Image Classification. IEEE Trans. Image Process. 33: 1080-1094 (2024) - [j54]Junhong Chen, Ziyang Guo, Hong Li, C. L. Philip Chen:
Regularizing Scale-Adaptive Central Moment Sharpness for Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6452-6466 (2024) - 2023
- [j53]Chunbo Cheng, Liming Zhang, Hong Li, Wenjing Cui:
A Dual-Branch Deep Stochastic Adaptive Fourier Decomposition Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - 2022
- [j52]Chunbo Cheng, Hong Li, Jiangtao Peng, Wenjing Cui, Liming Zhang:
Deep High-Order Tensor Convolutional Sparse Coding for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [j51]Ziyang Guo, Anyou Min, Bing Yang, Junhong Chen, Hong Li, Junbin Gao:
A Sparse Oblique-Manifold Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j50]Anyou Min, Ziyang Guo, Hong Li, Jiangtao Peng:
JMnet: Joint Metric Neural Network for Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j49]Anyou Min, Hong Li:
A Probability Metric-Based Autoencoder for Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j48]Bing Yang, Hong Li, Ziyang Guo:
Deep Manifold Structure-Preserving Spectral-Spatial Feature Extraction of Hyperspectral Image. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j47]Chunbo Cheng, Hong Li, Liming Zhang:
Two-Branch Deconvolutional Network With Application in Stereo Matching. IEEE Trans. Image Process. 31: 327-340 (2022) - [j46]Lei Dai, Liming Zhang, Hong Li:
Image Compression Using Stochastic-AFD Based Multisignal Sparse Representation. IEEE Trans. Image Process. 31: 5317-5331 (2022) - 2021
- [j45]Chunbo Cheng, Hong Li, Liming Zhang:
Two-Branch Convolutional Sparse Representation for Stereo Matching. IEEE Access 9: 21910-21920 (2021) - [j44]Chunbo Cheng, Hong Li, Liming Zhang:
An unsupervised stereo matching cost based on sparse representation. Int. J. Wavelets Multiresolution Inf. Process. 19(1): 2050060:1-2050060:15 (2021) - [j43]Bing Yang, Hong Li, Ziyang Guo:
Learning a Deep Similarity Network for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 1482-1496 (2021) - [j42]Chunbo Cheng, Hong Li, Jiangtao Peng, Wenjing Cui, Liming Zhang:
Hyperspectral Image Classification Via Spectral-Spatial Random Patches Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 4753-4764 (2021) - [j41]Ziyang Guo, Anyou Min, Bing Yang, Junhong Chen, Hong Li:
A Modified Huber Nonnegative Matrix Factorization Algorithm for Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 5559-5571 (2021) - [j40]Hailiang Ye, Hong Li, C. L. Philip Chen:
Adaptive Deep Cascade Broad Learning System and Its Application in Image Denoising. IEEE Trans. Cybern. 51(9): 4450-4463 (2021) - [j39]Zhijing Ye, Tao Qian, Liming Zhang, Lei Dai, Hong Li, Jón Atli Benediktsson:
Functional Feature Extraction for Hyperspectral Image Classification With Adaptive Rational Function Approximation. IEEE Trans. Geosci. Remote. Sens. 59(9): 7680-7694 (2021) - 2020
- [j38]Zhijing Ye, Jiaqing Chen, Hong Li, Yantao Wei, Guangrun Xiao, Jón Atli Benediktsson:
Supervised Functional Data Discriminant Analysis for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 58(2): 841-851 (2020)
2010 – 2019
- 2019
- [j37]Hailiang Ye, Hong Li, Bing Yang, Feilong Cao, Yuanyan Tang:
A Novel Rank Approximation Method for Mixture Noise Removal of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 57(7): 4457-4469 (2019) - [j36]Hailiang Ye, Hong Li, Feilong Cao, Liming Zhang:
A Hybrid Truncated Norm Regularization Method for Matrix Completion. IEEE Trans. Image Process. 28(10): 5171-5186 (2019) - [j35]Hongfeng Li, Hongkai Zhao, Hong Li:
Neural-Response-Based Extreme Learning Machine for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 30(2): 539-552 (2019) - [j34]Huizhen Li, Hong Li, Liming Zhang:
Quaternion-Based Multiscale Analysis for Feature Extraction of Hyperspectral Images. IEEE Trans. Signal Process. 67(6): 1418-1430 (2019) - 2018
- [j33]Hailiang Ye, Feilong Cao, Dianhui Wang, Hong Li:
Building feedforward neural networks with random weights for large scale datasets. Expert Syst. Appl. 106: 233-243 (2018) - 2017
- [j32]Yantao Wei, Yicong Zhou, Hong Li:
Spectral-Spatial Response for Hyperspectral Image Classification. Remote. Sens. 9(3): 203 (2017) - [j31]Zhijing Ye, Hong Li, Yalong Song, Jón Atli Benediktsson, Yuan Yan Tang:
Hyperspectral Image Classification Using Principal Components-Based Smooth Ordering and Multiple 1-D Interpolation. IEEE Trans. Geosci. Remote. Sens. 55(2): 1199-1209 (2017) - [j30]Hong Li, Yalong Song, C. L. Philip Chen:
Hyperspectral Image Classification Based on Multiscale Spatial Information Fusion. IEEE Trans. Geosci. Remote. Sens. 55(9): 5302-5312 (2017) - [c7]Qiong Wang, Junbin Gao, Hong Li:
Grassmannian Manifold Optimization Assisted Sparse Spectral Clustering. CVPR 2017: 3145-3153 - [c6]Huiwu Luo, Yuan Yan Tang, Xu Yang, Lina Yang, Hong Li:
Autoencoder with Extended Morphological Profile for Hyperspectral Image Classification. CYBCONF 2017: 1-4 - 2016
- [j29]Yalong Song, Hong Li, Jianzhong Wang, Kit Ian Kou:
Multiple one-dimensional embedding clustering scheme for hyperspectral image classification. Int. J. Wavelets Multiresolution Inf. Process. 14(2): 1640004:1-1640004:13 (2016) - [j28]Zhijing Ye, Hong Li, Yalong Song, Jianzhong Wang, Jón Atli Benediktsson:
A novel semi-supervised learning framework for hyperspectral image classification. Int. J. Wavelets Multiresolution Inf. Process. 14(2): 1640005:1-1640005:17 (2016) - [j27]Kit Ian Kou, Hong Li:
Greedy adaptive decomposition of signals based on nonlinear Fourier atoms. Int. J. Wavelets Multiresolution Inf. Process. 14(3): 1650014:1-1650014:15 (2016) - [j26]Yantao Wei, Xinge You, Hong Li:
Multiscale patch-based contrast measure for small infrared target detection. Pattern Recognit. 58: 216-226 (2016) - [j25]Cheng Yong Zheng, Hong Li, Qiong Wang, C. L. Philip Chen:
Reweighted Sparse Regression for Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 54(1): 479-488 (2016) - [c5]Yalong Song, Hong Li, Huizhen Li, Yantao Wei:
Local one-dimensional embedding interpolation for hyperspectral image classification. SMC 2016: 1034-1039 - 2015
- [j24]Wojciech Rejchel, Hong Li, Chuanbao Ren, Luoqing Li:
Comments and Correction on "U-Processes and Preference Learning" (Neural Computation Vol. 26, pp. 2896-2924, 2014). Neural Comput. 27(7): 1549-1553 (2015) - [j23]Hong Li, Zhijing Ye, Guangrun Xiao:
Hyperspectral Image Classification Using Spectral-Spatial Composite Kernels Discriminant Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2341-2350 (2015) - [j22]Hong Li, Donghui Pan, C. L. Philip Chen:
Reliability Modeling and Life Estimation Using an Expectation Maximization Based Wiener Degradation Model for Momentum Wheels. IEEE Trans. Cybern. 45(5): 955-963 (2015) - [c4]Huiwu Luo, Yuan Yan Tang, Yulong Wang, Chunli Li, Jianzhong Wang, Tingbo Hu, Hong Li:
Hyperspectral image classification using One Dimensional Manifold Embedding with Spectral-Spatial based affinity metric. CYBCONF 2015: 394-398 - 2014
- [j21]Hong Li, Hongfeng Li, Yantao Wei, Yuan Yan Tang, Qiong Wang:
Sparse-based neural response for image classification. Neurocomputing 144: 198-207 (2014) - [j20]Rokan Khaji, Hong Li, Hongfeng Li, Rabiu Haruna, Ramadhan Abdo Musleh Alsaidi:
Improved combination of RPCA and MEL for sparse representation-based face recognition. Int. J. Wavelets Multiresolution Inf. Process. 12(3) (2014) - [j19]Hong Li, Chuanbao Ren, Luoqing Li:
U-Processes and Preference Learning. Neural Comput. 26(12): 2896-2924 (2014) - [j18]Yuan Yan Tang, Tian Xia, Yantao Wei, Hong Li, Luoqing Li:
Hierarchical kernel-based rotation and scale invariant similarity. Pattern Recognit. 47(4): 1674-1688 (2014) - [j17]Hong Li, Guangrun Xiao, Tian Xia, Yuan Yan Tang, Luoqing Li:
Hyperspectral Image Classification Using Functional Data Analysis. IEEE Trans. Cybern. 44(9): 1544-1555 (2014) - [j16]C. L. Philip Chen, Hong Li, Yantao Wei, Tian Xia, Yuan Yan Tang:
A Local Contrast Method for Small Infrared Target Detection. IEEE Trans. Geosci. Remote. Sens. 52(1): 574-581 (2014) - [j15]Hong Li, Donghui Pan, C. L. Philip Chen:
Intelligent Prognostics for Battery Health Monitoring Using the Mean Entropy and Relevance Vector Machine. IEEE Trans. Syst. Man Cybern. Syst. 44(7): 851-862 (2014) - 2013
- [j14]Ramadhan Abdo Musleh Alsaidi, Hong Li, Yantao Wei, Rokan Khaji, Yuan Yan Tang:
Hierarchical Sparse Method with Applications in Vision and speech Recognition. Int. J. Wavelets Multiresolution Inf. Process. 11(2) (2013) - [j13]Hong Li, Yantao Wei, Luoqing Li, C. L. Philip Chen:
Hierarchical Feature Extraction With Local Neural Response for Image Recognition. IEEE Trans. Cybern. 43(2): 412-424 (2013) - 2012
- [j12]Hong Li, Yantao Wei, Luoqing Li, Yuan Yuan:
Similarity learning for object recognition based on derived kernel. Neurocomputing 83: 110-120 (2012) - [j11]Hong Li, Na Chen, Luoqing Li:
Elastic-Net Regularization for Low-Rank Matrix Recovery. Int. J. Wavelets Multiresolution Inf. Process. 10(5) (2012) - [j10]Hong Li, Na Chen, Luoqing Li:
Error Analysis for Matrix Elastic-Net Regularization Algorithms. IEEE Trans. Neural Networks Learn. Syst. 23(5): 737-748 (2012) - [c3]Tian Xia, Yuan Yan Tang, Yantao Wei, Hong Li, Luoqing Li:
Object categorization based on hierarchical learning. ICPR 2012: 1419-1422 - 2011
- [j9]Liming Zhang, Hong Li:
A Novel Signal Decomposition Approach - Adaptive Fourier Decomposition. Adv. Data Sci. Adapt. Anal. 3(3): 325-338 (2011) - [c2]Liming Zhang, Hong Li, Yantao Wei, Tao Qian:
Instantaneous frequencies of simple waves and their application to sleep spindle detection. SMC 2011: 1486-1490 - 2010
- [j8]Hong Li, Luoqing Li, Tao Qian:
Discrete-time analytic signals and Bedrosian product theorems. Digit. Signal Process. 20(4): 982-990 (2010) - [j7]Limin Cui, Yantao Wei, Yuan Yan Tang, Hong Li:
Gabor-Based Tensor Local Discriminant Embedding and its Application on Palmprint Recognition. Int. J. Wavelets Multiresolution Inf. Process. 8(2): 327-342 (2010) - [j6]Hong Li, Na Chen, Yuan Yan Tang:
Local Learning Estimates by Integral Operators. Int. J. Wavelets Multiresolution Inf. Process. 8(5): 695-712 (2010) - [c1]Mohammed Lutf, Xinge You, Hong Li:
Offline Arabic Handwriting Identification Using Language Diacritics. ICPR 2010: 1912-1915
2000 – 2009
- 2009
- [j5]Yantao Wei, Hong Li, Luoqing Li:
Tensor Locality Sensitive Discriminant Analysis and its Complexity. Int. J. Wavelets Multiresolution Inf. Process. 7(6): 865-880 (2009) - 2008
- [j4]Tao Qian, Liming Zhang, Hong Li:
Mono-Components vs Imfs in Signal Decomposition. Int. J. Wavelets Multiresolution Inf. Process. 6(3): 353-374 (2008) - [j3]Hong Li, Shaohua Xu, Luoqing Li:
Dim target detection and tracking based on empirical mode decomposition. Signal Process. Image Commun. 23(10): 788-797 (2008) - 2007
- [j2]Hong Li, Luoqing Li, Yuan Yan Tang:
Mono-Component Decomposition of Signals Based on Blaschke Basis. Int. J. Wavelets Multiresolution Inf. Process. 5(6): 941-956 (2007) - 2006
- [j1]Hong Li:
Wavelet-Based Weighted Average and Human Vision System Image Fusion. Int. J. Wavelets Multiresolution Inf. Process. 4(1): 97-103 (2006)
Coauthor Index
aka: Yuanyan Tang
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