Fanlong Zhang

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research-article
Double constrained discriminative least squares regression for image classification
- Zhangjing Yang
  School of Computer Science, Nanjing Audit University, Nanjing 211815, China
  ,
- Qimeng Fan
  School of Computer Science, Nanjing Audit University, Nanjing 211815, China
  ,
- Pu Huang
  School of Computer Science, Nanjing Audit University, Nanjing 211815, China
  ,
- Fanlong Zhang
  School of Computer Science, Nanjing Audit University, Nanjing 211815, China
  ,
- Minghua Wan
  School of Computer Science, Nanjing Audit University, Nanjing 211815, China
  ,
- Guowei Yang
  School of Computer Science, Nanjing Audit University, Nanjing 211815, China
Information Sciences: an International Journal, Volume 647, Issue C•Nov 2023 • https://doi.org/10.1016/j.ins.2023.119504
Abstract
Discriminative Least Squares Regression (DLSR) is an approach that is more popularly used in multi-classification tasks, which employs an ε-draggings technique to enhance intra-class similarity. However, this approach fails to take into account ...
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Orthogonal autoencoder regression for image classification
- Zhangjing Yang
  College of Information Engineering, Nanjing Audit University, Nanjing 211815, China
  ,
- Xinxin Wu
  College of Information Engineering, Nanjing Audit University, Nanjing 211815, China
  ,
- Pu Huang
  College of Information Engineering, Nanjing Audit University, Nanjing 211815, China
  ,
- Fanlong Zhang
  College of Information Engineering, Nanjing Audit University, Nanjing 211815, China
  ,
- Minghua Wan
  College of Information Engineering, Nanjing Audit University, Nanjing 211815, China
  ,
- Zhihui Lai
  College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China
Information Sciences: an International Journal, Volume 618, Issue C•Dec 2022, pp 400-416 • https://doi.org/10.1016/j.ins.2022.10.068
Abstract
Least squares regression (LSR) and its extended methods are widely used for image classification. However, these LSR-based methods do not consider the importance of global information and ignore the connection between feature learning ...
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Open Access
Automatic depression recognition by intelligent speech signal processing: A systematic survey
- Pingping Wu
  Jiangsu Key Laboratory of Public Project Audit, School of Engineering Audit Nanjing Audit University Nanjing China
  ,
- Ruihao Wang
  School of Information Engineering Nanjing Audit University Nanjing China
  ,
- Han Lin
  Jiangsu Key Laboratory of Public Project Audit, School of Engineering Audit Nanjing Audit University Nanjing China
  ,
- Fanlong Zhang
  School of Information Engineering Nanjing Audit University Nanjing China
  ,
- Juan Tu
  Key Laboratory of Modern Acoustics (MOE), School of Physics Nanjing University Nanjing China
  ,
- Miao Sun
  Faculty of Electrical Engineering, Mathematics & Computer Science Delft University of Technology Delft The Netherlands
CAAI Transactions on Intelligence Technology, Volume 8, Issue 3•September 2023, pp 701-711 • https://doi.org/10.1049/cit2.12113
Abstract
Depression has become one of the most common mental illnesses in the world. For better prediction and diagnosis, methods of automatic depression recognition based on speech signal are constantly proposed and updated, with a transition from the ...
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research-article
Denoising Low-Rank Discrimination based Least Squares Regression for image classification
- Pu Huang
  School of Information Engineering, Nanjing Audit University, Nanjing, Jiangsu 211815, PR China
  ,
- Zhangjing Yang
  School of Information Engineering, Nanjing Audit University, Nanjing, Jiangsu 211815, PR China
  ,
- Wenbo Wang
  School of Information Engineering, Nanjing Audit University, Nanjing, Jiangsu 211815, PR China
  ,
- Fanlong Zhang
  School of Information Engineering, Nanjing Audit University, Nanjing, Jiangsu 211815, PR China
Information Sciences: an International Journal, Volume 587, Issue C•Mar 2022, pp 247-264 • https://doi.org/10.1016/j.ins.2021.12.031
Abstract
Least Squares Regression (LSR) is a powerful method for learning the transform from high-dimensional space into a low-dimensional label subspace. Due to the excellent performance of low-rank matrix decomposition based methods in ...
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research-article
Local median based linear regression classification for biometric recognition
- Zhangjing Yang
  School of Information Engineering, Nanjing Audit University, Nanjing 211815, China
  School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China
  ,
- Wenbo Wang
  School of Information Engineering, Nanjing Audit University, Nanjing 211815, China
  ,
- Pu Huang
  School of Information Engineering, Nanjing Audit University, Nanjing 211815, China
  ,
- Guangwei Gao
  Institude of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
  ,
- Xinxin Wu
  School of Information Engineering, Nanjing Audit University, Nanjing 211815, China
  ,
- Fanlong Zhang
  School of Information Engineering, Nanjing Audit University, Nanjing 211815, China
Computers and Electrical Engineering, Volume 96, Issue PB•Dec 2021 • https://doi.org/10.1016/j.compeleceng.2021.107509
Abstract
As an efficacy classification technique, linear regression based classification (LRC) has been popularly used for image recognition. However, since LRC neglects the local structure as well as dissimilarities between different classes, ...
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Article
Hyperspectral Image Restoration for Non-additive Noise
- Fanlong Zhang
  Nanjing Audit University, 211815, Nanjing, Jiangsu, China
  ,
- Heyou Chang
  Nanjing XiaoZhuang University, 210024, Nanjing, Jiangsu, China
  ,
- Zhangjing Yang
  Nanjing Audit University, 211815, Nanjing, Jiangsu, China
  ,
- Tianming Zhan
  Nanjing Audit University, 211815, Nanjing, Jiangsu, China
  ,
- Guowei Yang
  Nanjing Audit University, 211815, Nanjing, Jiangsu, China
Pattern Recognition and Computer Vision•October 2020, pp 232-243• https://doi.org/10.1007/978-3-030-60633-6_19
Abstract
This work is about a curious phenomenon. Among hyperspectral image (HSI) restoration methods, most of them suppose the observed HSI is the superposition of clean component and noise component. However, in real world applications, the components ...
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research-article
Structure-constrained discriminative dictionary learning based on Schatten p-norm for face recognition
- Heyou Chang
  Key Laboratory of Trusted Cloud Computing and Big Data Analysis, Nanjing XiaoZhuang University, Nanjing, 211171 China
  Laboratory of Image Science and Technology, Southeast University, Nanjing, 210096 China
  ,
- Fanlong Zhang
  School of Technology, Nanjing Audit University, Nanjing, 211815 China
  ,
- Guangwei Gao
  Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, 210023 China
  ,
- Hao Zheng
  Key Laboratory of Trusted Cloud Computing and Big Data Analysis, Nanjing XiaoZhuang University, Nanjing, 211171 China
  ,
- Yang Chen
  Laboratory of Image Science and Technology, Southeast University, Nanjing, 210096 China
  School of Cyber Science and Engineering, Southeast University, Nanjing 210096, China
  Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education, Nanjing 210096, China
Digital Signal Processing, Volume 95, Issue C•Dec 2019 • https://doi.org/10.1016/j.dsp.2019.08.003
Abstract
Dictionary learning based on low-rank representations has been widely studied in recent years and has achieved impressive performance in face recognition. However, studies on the case where both the training and testing data are ...
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Discriminant maximum margin projections for face recognition
- Zhangjing Yang
  School of Computer Science and Engineering, Southeast University, Nanjing, China
  School of Technology, Nanjing Audit University, Nanjing, China
  Jiangsu Key Laboratory of Image and Video Understanding for Social Safety, Nanjing University of Science and Technology, Nanjing, China
  2011 Collaborative Innovation Center of Internet of Things Technology and Intelligent Systems, Minjiang University, Fuzhou, China
  ,
- Pu Huang
  Jiangsu Key Laboratory of Image and Video Understanding for Social Safety, Nanjing University of Science and Technology, Nanjing, China
  School of Computer Science and Technology, Nanjing University of Posts and Telecommunications, Nanjing, China
  ,
- Minghua Wan
  School of Technology, Nanjing Audit University, Nanjing, China
  ,
- Tianming Zhan
  School of Technology, Nanjing Audit University, Nanjing, China
  ,
- Fanlong Zhang
  School of Technology, Nanjing Audit University, Nanjing, China
  ,
- Limin Luo
  School of Computer Science and Engineering, Southeast University, Nanjing, China
Multimedia Tools and Applications, Volume 78, Issue 17•Sep 2019, pp 23847-23865 • https://doi.org/10.1007/s11042-018-6242-8
Abstract
In this paper, we propose a novel dimensionality reduction algorithm called discriminant maximum margin projections (DMMP) for face recognition. By discovering both geometrical and discriminant structures of the data points, DMMP aims at finding a ...
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research-article
Double Low Rank Matrix Recovery for Saliency Fusion
- Junxia Li
  School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China
  ,
- Lei Luo
  School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China
  ,
- Fanlong Zhang
  School of Technology, Nanjing Audit University, Nanjing, China
  ,
- Jian Yang
  School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China
  ,
- Deepu Rajan
  Multimedia Laboratory, School of Computer Science and Engineering, Nanyang Technological University, Singapore
IEEE Transactions on Image Processing, Volume 25, Issue 9•Sept. 2016, pp 4421-4432 • https://doi.org/10.1109/TIP.2016.2588331
In this paper, we address the problem of fusing various saliency detection methods such that the fusion result outperforms each of the individual methods. We observe that the saliency regions shown in different saliency maps are with high probability ...
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Please see the following 2007 Turing Award winners' profiles as examples:
History: Disambiguation of author names is of course required for precise identification of all the works, and only those works, by a unique individual. Of equal importance to ACM, author name normalization is also one critical prerequisite to building accurate citation and download statistics. For the past several years, ACM has worked to normalize author names, expand reference capture, and gather detailed usage statistics, all intended to provide the community with a robust set of publication metrics. The Author Profile Pages reveal the first result of these efforts.
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These include:
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Average citations per article = The total Citation Count divided by the total Publication Count.
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ACM Author-Izer Service

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ACM Author-Izer is a unique service that enables ACM authors to generate and post links on both their homepage and institutional repository for visitors to download the definitive version of their articles from the ACM Digital Library at no charge.

Downloads from these sites are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to definitive version of ACM articles should reduce user confusion over article versioning.

ACM Author-Izer also extends ACM’s reputation as an innovative “Green Path” publisher, making ACM one of the first publishers of scholarly works to offer this model to its authors.

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Sign in to your ACM web account and go to your Author Profile page. Click "Add personal information" and add photograph, homepage address, etc. Click ADD AUTHOR INFORMATION to submit change. Once you receive email notification that your changes were accepted, you may utilize ACM Author-izer.

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Sign in to your ACM web account, go to your Author Profile page in the Digital Library, look for the ACM Author-izer link below each ACM published article, and begin the authorization process. If you have published many ACM articles, you may find a batch Authorization process useful. It is labeled: "Export as: ACM Author-Izer Service"

ACM Author-Izer also provides code snippets for authors to display download and citation statistics for each “authorized” article on their personal pages. Downloads from these pages are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to the definitive version of ACM articles should reduce user confusion over article versioning.

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FAQ

Q. What is ACM Author-Izer?
A. ACM Author-Izer is a unique, link-based, self-archiving service that enables ACM authors to generate and post links on either their home page or institutional repository for visitors to download the definitive version of their articles for free.
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Double constrained discriminative least squares regression for image classification

Orthogonal autoencoder regression for image classification

Automatic depression recognition by intelligent speech signal processing: A systematic survey

Denoising Low-Rank Discrimination based Least Squares Regression for image classification

Local median based linear regression classification for biometric recognition

Hyperspectral Image Restoration for Non-additive Noise

Structure-constrained discriminative dictionary learning based on Schatten p-norm for face recognition

Discriminant maximum margin projections for face recognition

Double Low Rank Matrix Recovery for Saliency Fusion