Chuanlei Zhang

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Chuanlei Zhang (17)
Shanwen Zhang (6)
Wei Chen (3)
Dufeng Chen (2)
Jinyuan Shi (2)
Minda Yao (2)
Qing Zhao (2)
Yihua Hu (2)
Yingke Lei (2)
Carlos Manuel Travieso-González (1)
Ce Yu (1)
Congcong Xiong (1)
Di Sun (1)
Jucheng Yang (1)
Lianhai Shan (1)
Navid Razmjooy (1)
Ting Ke (1)
Xi Zhao (1)
Yarui Chen (1)
Yihai Zhu (1)

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Computational Intelligence and Neuroscience (2)
Journal of Electrical and Computer Engineering (2)
Journal of Network and Computer Applications (2)
Security and Communication Networks (2)
Applied Soft Computing (1)
Computers and Electronics in Agriculture (1)
Expert Systems with Applications: An International Journal (1)
Pattern Analysis & Applications (1)
Soft Computing - A Fusion of Foundations, Methodologies and Applications (1)

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SPML '23: Proceedings of the 2023 6th International Conference on Signal Processing and Machine Learning (3)
BDE '24: Proceedings of the 2024 6th International Conference on Big Data Engineering (1)

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Association for Computing Machinery (4)
Hindawi Limited (4)
Academic Press Ltd. (2)
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The Pairs Network of Attention model for Fine-grained Classification
- Gaihua Wang
  Tianjin University of Science & Technology, China and Wuhan Institute of Technology, China
  ,
- Jingwei Han
  Tianjin University of Science & Technology, China
  ,
- Chuanlei Zhang
  Tianjin University of Science & Technology, China
  ,
- Jingxuan Yao
  Tianjin University of Science & Technology, China
  ,
- Bolun Zhu
  Tianjin University of Science & Technology, China
BDE '24: Proceedings of the 2024 6th International Conference on Big Data Engineering•July 2024, pp 39-47• https://doi.org/10.1145/3688574.3688580

This paper proposes a novel pairs network of attention model for fine-grained image classification. The pairs network can randomly select paired inputs from dataset to compare the difference via the hierarchical-attention features learning. The loss ...
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A general maximal margin hyper-sphere SVM for multi-class classification
- Ting Ke
  College of Artificial Intelligence, Tianjin University of Science & Technology, Tianjin 300457, China
  ,
- Xuechun Ge
  Signal and Communication Research Institute, China Academy of Railway Sciences Corporation Limited (Beijing Huatie Information Technology Corporation), Beijing 100083, China
  ,
- Feifei Yin
  College of Artificial Intelligence, Tianjin University of Science & Technology, Tianjin 300457, China
  ,
- Lidong Zhang
  College of Science, Tianjin University of Science & Technology, Tianjin 300457, China
  ,
- Yaozong Zheng
  College of Artificial Intelligence, Tianjin University of Science & Technology, Tianjin 300457, China
  ,
- Chuanlei Zhang
  College of Artificial Intelligence, Tianjin University of Science & Technology, Tianjin 300457, China
  ,
- Jianrong Li
  College of Artificial Intelligence, Tianjin University of Science & Technology, Tianjin 300457, China
  ,
- Bo Wang
  SITONHOLY (Tianjin) Technology Co., Ltd, Tianjin 300457, China
  ,
- Wei Wang
  SITONHOLY (Tianjin) Technology Co., Ltd, Tianjin 300457, China
Expert Systems with Applications: An International Journal, Volume 237, Issue PC•Mar 2024 • https://doi.org/10.1016/j.eswa.2023.121647
Abstract
Traditional SVM algorithms for multi-class (k > 2 classes) classification tasks include “one-against-one”, “one-against-rest”, and “one-against-one-against-rest”, which build k(k−1)/2 or k classifiers for space partitioning and classification ...
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Detection Method of the Secondary Protective Rope for Electric Power Workers Based on UAV Image and YOLO Algorithm
- Jianxun Zhang
  State Grid Fujian Electric Power Co., LTD Construction Branch, China
  ,
- Yuzheng Liu
  State Grid Fujian Electric Power Co., LTD Construction Branch, China
  ,
- Dandan Zhang
  College of Artificial Intelligence, Tianjin University of Science and Technology, China
  ,
- Hongying Guo
  State Grid Fujian Electric Power Co., LTD Construction Branch, China
  ,
- Mingxiang Huang
  State Grid Fujian Electric Power Co., LTD Construction Branch, China
  ,
- Wanjun Wang
  State Grid Fujian Electric Power Co., LTD Construction Branch, China
  ,
- Cheng Lin
  State Grid Fujian Electric Power Co., LTD Construction Branch, China
  ,
- Chuanlei Zhang
  College of Artificial Intelligence, Tianjin University of Science and Technology, China
SPML '23: Proceedings of the 2023 6th International Conference on Signal Processing and Machine Learning•July 2023, pp 182-189• https://doi.org/10.1145/3614008.3614034

Outdoor electric power workers usually work at heights. In addition to wearing safety belts, operators wear a secondary protective rope to prevent electric power construction workers from falling. The secondary protective rope plays an essential role in ...
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Restoration of Dunhuang Murals on Large-scale pretraining
- Zishan Xu
  China University of Mining and Technology, China
  ,
- Minda Yao
  China University of Mining and Technology, China
  ,
- Wei Chen
  School of Computer Science & Technology, China University of Mining and Technology, China and School of Mechanical,Electrical & Information Engineering, China University of Mining and Technology(Beijing), China
  ,
- Min Zhu
  Department of Intensive Care Unit, Xuzhou First People's Hospital, China
  ,
- Zijian Tian
  China University of Mining and Technology(Beijing), China
  ,
- Fan Zhang
  China University of Mining and Technology, China
  ,
- Xiaofeng Zhang
  Shanghai Jiaotong University, China
  ,
- Chuanlei Zhang
  Tianjin University of Science and Technology, China
SPML '23: Proceedings of the 2023 6th International Conference on Signal Processing and Machine Learning•July 2023, pp 106-111• https://doi.org/10.1145/3614008.3614024

Dunhuang murals are a precious cultural heritage and their restoration is of vital importance. Traditional image restoration methods and methods based on generative adversarial networks (GANs) have limitations in the mural restoration task. In this ...
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Points and Descriptors-Net Model for SIFT Features Learning
- Jie Li
  China Unicom Research Institute, China
  ,
- Ming Yang
  Lingxiao Tianjin Industrial Internet Co.,Ltd, China
  ,
- Jinyuan Shi
  Tianjin University of Science and Technology, China
  ,
- Gongcheng Shi
  Tianjin University of Science and Technology, China
  ,
- Lei Shi
  Tianjin University of Science and Technology, China
  ,
- Chuanlei Zhang
  Tianjin University of Science and Technology, China
  ,
- Hui Ma
  Yunsheng Intelligent Technology Co., Ltd Tianjin, China
SPML '23: Proceedings of the 2023 6th International Conference on Signal Processing and Machine Learning•July 2023, pp 82-88• https://doi.org/10.1145/3614008.3614021

This paper presents a feature extraction network called PD-Net (Points and Descriptors-Net) that extracts feature points and generates feature descriptors from images. The model operates on full-size images using a fully convolutional model and computes ...
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Gradient Descent Optimization in Deep Learning Model Training Based on Multistage and Method Combination Strategy
- Chi-Hua Chen,
- Chuanlei Zhang
  College of Artificial IntelligenceTianjin University of Science and TechnologyTianjin 300457Chinatust.edu.cn
  ,
- Minda Yao
  College of Artificial IntelligenceTianjin University of Science and TechnologyTianjin 300457Chinatust.edu.cn
  ,
- Wei Chen
  School of Mechanical Electronic and Information EngineeringChina University of Mining and Technology (Beijing)Beijing 100083Chinacumtb.edu.cn
  School of Computer Science and TechnologyChina University of Mining and TechnologyXuzhou 221116Chinacumt.edu.cn
  ,
- Shanwen Zhang
  College of Information EngineeringXijing UniversityXi’an 710123Chinaxijing.com.cn
  ,
- Dufeng Chen
  Beijing Geotechnical and Investigation Engineering InsitituteBeijing 100080China
  ,
- Yuliang Wu
  Department of Emergency ManagementSichuan Staff University of Science and TechnologyChengdu 610101Chinasckzd.com
Security and Communication Networks, Volume 2021•2021 • https://doi.org/10.1155/2021/9956773
Gradient descent is the core and foundation of neural networks, and gradient descent optimization heuristics have greatly accelerated progress in deep learning. Although these methods are simple and effective, how they work remains unknown. Gradient ...
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Unsupervised Anomaly Detection Based on Deep Autoencoding and Clustering
- Chi-Hua Chen,
- Chuanlei Zhang
  College of Artificial IntelligenceTianjin University of Science and TechnologyTianjin 300457Chinatust.edu.cn
  ,
- Jiangtao Liu
  College of Artificial IntelligenceTianjin University of Science and TechnologyTianjin 300457Chinatust.edu.cn
  ,
- Wei Chen
  School of Mechanical Electronic and Information EngineeringChina University of Mining and Technology (Beijing)Beijing 100083Chinacumtb.edu.cn
  School of Computer Science and TechnologyChina University of Mining and TechnologyXuzhou 221116Chinacumt.edu.cn
  ,
- Jinyuan Shi
  College of Artificial IntelligenceTianjin University of Science and TechnologyTianjin 300457Chinatust.edu.cn
  ,
- Minda Yao
  College of Artificial IntelligenceTianjin University of Science and TechnologyTianjin 300457Chinatust.edu.cn
  ,
- Xiaoning Yan
  Softsz Co.,Ltd.Shenzhen 518131China
  ,
- Nenghua Xu
  Softsz Co.,Ltd.Shenzhen 518131China
  ,
- Dufeng Chen
  Beijing Geotechnical and Investigation Engineering InstituteBeijing 100080China
Security and Communication Networks, Volume 2021•2021 • https://doi.org/10.1155/2021/7389943
The unsupervised anomaly detection task based on high-dimensional or multidimensional data occupies a very important position in the field of machine learning and industrial applications; especially in the aspect of network security, the anomaly detection ...
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Multiscale Convolutional Neural Networks with Attention for Plant Species Recognition
- Navid Razmjooy,
- Xianfeng Wang
  School of Information EngineeringXijing UniversityXi’an 710123Chinaxijing.com.cn
  ,
- Chuanlei Zhang
  College of Artificial IntelligenceTianjin University of Science and TechnologyTianjin, 300222Chinatust.edu.cn
  ,
- Shanwen Zhang
  School of Information EngineeringXijing UniversityXi’an 710123Chinaxijing.com.cn
Computational Intelligence and Neuroscience, Volume 2021•2021 • https://doi.org/10.1155/2021/5529905
Plant species recognition is a critical step in protecting plant diversity. Leaf-based plant species recognition research is important and challenging due to the large within-class difference and between-class similarity of leaves and the rich ...
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Cucumber leaf disease identification with global pooling dilated convolutional neural network
- Shanwen Zhang
  School of Information Engineering, Xijing University, Xi’an 710123, China
  ,
- Subing Zhang
  China Electronics Standardization Institute, Beijing 100007, China
  ,
- Chuanlei Zhang
  College of Computer Science and Information Engineering, Tianjin University of Science and Technology, Tianjin 300222, China
  ,
- Xianfeng Wang
  School of Information Engineering, Xijing University, Xi’an 710123, China
  ,
- Yun Shi
  School of Information Engineering, Xijing University, Xi’an 710123, China
Computers and Electronics in Agriculture, Volume 162, Issue C•Jul 2019, pp 422-430 • https://doi.org/10.1016/j.compag.2019.03.012
Highlights

Dilated convolution kernel enlarges local receptive field and enhances feature extraction.
Global pooling layer reduces training parameters number and avoids overfitting problem.
Multi-scale convolutional kernels extract multi-...
Abstract
It is a challenging research topic to identify plant disease based on diseased leaf image processing techniques due to the complexity of the diseased leaf images. Deep learning models are promising for identifying plant disease based on leaf ...
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Combining sparse representation and singular value decomposition for plant recognition
- Shanwen Zhang
  Department of Information Engineering, XiJing University, Xi’an, 710123, China
  ,
- Chuanlei Zhang
  School of Computer Science and Information Engineering, Tianjin University of Science and Technology, 1038 Da Gu Nan Lu, Tianjin, 300222, China
  ,
- Zhen Wang
  Department of Information Engineering, XiJing University, Xi’an, 710123, China
  ,
- Weiwei Kong
  Department of Information Engineering, XiJing University, Xi’an, 710123, China
Applied Soft Computing, Volume 67, Issue C•Jun 2018, pp 164-171 • https://doi.org/10.1016/j.asoc.2018.02.052
Highlights

A Sparse Representation and SVD based plant recognition method is proposed.
...
Abstract
Plant recognition is one of important research areas of pattern recognition. As plant leaves are extremely irregular, complex and diverse, many existing plant classification and recognition methods cannot meet the requirements of the ...
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Discriminant WSRC for Large-Scale Plant Species Recognition
- Carlos M. Travieso-González,
- Shanwen Zhang
  Department of Information Engineering Xijing University Xi’an 710123 China xijing.com.cn
  Tableau Software Seattle WA 98103 USA tableau.com
  ,
- Zhuhong You
  Department of Information Engineering Xijing University Xi’an 710123 China xijing.com.cn
  ,
- Chuanlei Zhang
  Department of Information Engineering Xijing University Xi’an 710123 China xijing.com.cn
  ,
- Yihai Zhu
  Tableau Software Seattle WA 98103 USA tableau.com
Computational Intelligence and Neuroscience, Volume 2017•2017 • https://doi.org/10.1155/2017/9581292

In sparse representation based classification (SRC) and weighted SRC (WSRC), it is time-consuming to solve the global sparse representation problem. A discriminant WSRC (DWSRC) is proposed for large-scale plant species recognition, including two stages. ...
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Semi-supervised orthogonal discriminant projection for plant leaf classification
- Shanwen Zhang
  Department of Electronics and Information Engineering, Xijing University, Xiźan, China
  ,
- Yingke Lei
  Electronic Engineering Institute, Hefei, China
  ,
- Chuanlei Zhang
  School of Computer Science and Information Engineering, Tianjin University of Science & Technology, Tianjin, China
  ,
- Yihua Hu
  Electronic Engineering Institute, Hefei, China
Pattern Analysis & Applications, Volume 19, Issue 4•November 2016, pp 953-961 • https://doi.org/10.1007/s10044-015-0488-9

Plant classification based on the leaf images is an important and tough task. For leaf classification problem, in this paper, a new weight measure is presented, and then a dimensional reduction algorithm, named semi-supervised orthogonal discriminant ...
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Plant Leaf Recognition through Local Discriminative Tangent Space Alignment
- Chuanlei Zhang
  School of Science and Information Engineering Tianjin University of Science and Technology
  ,
- Shanwen Zhang
  Department of Electronics and Information Engineering Xijing University
  ,
- Weidong Fang
  Key Laboratory of Specialty Fiber Optics and Optical Access Networks Shanghai University
Journal of Electrical and Computer Engineering, Volume 2016•March 2016, pp 9 • https://doi.org/10.1155/2016/1989485

Manifold learning based dimensionality reduction algorithms have been payed much attention in plant leaf recognition as the algorithms can select a subset of effective and efficient discriminative features in the leaf images. In this paper, a ...
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Multiresolution rotational symmetry detection via radius-based frieze-expansion
- Gang Pan
  Tianjin University, Tianjin, China
  ,
- Di Sun
  Tianjin University, Tianjin, China and Tianjin University of Science and Technology, Tianjin, China
  ,
- Yarui Chen
  Tianjin University of Science and Technology, Tianjin, China
  ,
- Chuanlei Zhang
  Tianjin University of Science and Technology, Tianjin, China
Journal of Electrical and Computer Engineering, Volume 2016•January 2016, Article No.: 2, pp 2-2 • https://doi.org/10.1155/2016/5683632

Rotational symmetry is important for many applications in computer graphics, vision, and image processing. However, it remains difficult to design an effective algorithm for automatic symmetry recognition. In this paper, we present a rotational symmetry ...
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BTRES
- Weidong Fang
  Key Laboratory of Wireless Sensor Network & Communication, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200051, China
  ,
- Chuanlei Zhang
  School of Computer Science and Information Engineering, Tianjin University of Science & Technology, Tianjin 300222, China
  ,
- Zhidong Shi
  Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200444, China
  ,
- Qing Zhao
  School of Computer Science and Information Engineering, Tianjin University of Science & Technology, Tianjin 300222, China
  ,
- Lianhai Shan
  Shanghai Research Center for Wireless Communications. Shanghai 200335, China
Journal of Network and Computer Applications, Volume 59, Issue C•January 2016, pp 88-94 • https://doi.org/10.1016/j.jnca.2015.06.013

Unlike traditional networks, the wireless sensor networks (WSNs) are very vulnerable to internal attacks from compromised nodes. The trust management system is the most effective way to defend the attack inside the network. The Beta-based Trust and ...
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A new energy-aware task scheduling method for data-intensive applications in the cloud
- Qing Zhao
  School of Computer Science and Information Technology, Tianjin University of Science and Technology, 300222 Tianjin, China
  ,
- Congcong Xiong
  School of Computer Science and Information Technology, Tianjin University of Science and Technology, 300222 Tianjin, China
  ,
- Ce Yu
  School of Computer Science and Technology, Tianjin University, 300072 Tianjin, China
  ,
- Chuanlei Zhang
  School of Computer Science and Information Technology, Tianjin University of Science and Technology, 300222 Tianjin, China
  ,
- Xi Zhao
  School of Computer Science and Information Technology, Tianjin University of Science and Technology, 300222 Tianjin, China
Journal of Network and Computer Applications, Volume 59, Issue C•January 2016, pp 14-27 • https://doi.org/10.1016/j.jnca.2015.05.001

Maximizing energy efficiency while ensuring the user's Service-Level Agreement (SLA) is very important for the purpose of environmental protection and profit maximization for the cloud service providers. In this paper, an energy and deadline aware task ...
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Orthogonal discriminant neighborhood analysis for tumor classification
- Chuanlei Zhang
  School of Computer Science and Information Engineering, Tianjin University of Science and Technology, Tianjin, China 300222
  ,
- Ying-Ke Lei
  Electronic Engineering Institute, Hefei, China 230027
  ,
- Shanwen Zhang
  Sias International University, Zhengzhou University, Zhengzhou, China 451150
  ,
- Jucheng Yang
  School of Computer Science and Information Engineering, Tianjin University of Science and Technology, Tianjin, China 300222
  ,
- Yihua Hu
  Electronic Engineering Institute, Hefei, China 230027
Soft Computing - A Fusion of Foundations, Methodologies and Applications, Volume 20, Issue 1•January 2016, pp 263-271 • https://doi.org/10.1007/s00500-014-1501-8

An important application of gene expression data is tumor classification. Dimensionality reduction is a key step of tumor classification as gene expression data have the so-called large and small problem. To reduce the dimensionality of the microarray ...
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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.

To access ACM Author-Izer, authors need to establish a free ACM web account. Should authors change institutions or sites, they can utilize the new ACM service to disable old links and re-authorize new links for free downloads from a different site.

How ACM Author-Izer Works

Authors may post ACM Author-Izer links in their own bibliographies maintained on their website and their own institution’s repository. The links take visitors to your page directly to the definitive version of individual articles inside the ACM Digital Library to download these articles for free.

The Service can be applied to all the articles you have ever published with ACM.

Depending on your previous activities within the ACM DL, you may need to take up to three steps to use ACM Author-Izer.

For authors who do not have a free ACM Web Account:

Go to the ACM DL http://dl.acm.org/ and click SIGN UP. Once your account is established, proceed to next step.

For authors who have an ACM web account, but have not edited their ACM Author Profile page:

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.

For authors who have an account and have already edited their Profile Page:

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.

Note: You still retain the right to post your author-prepared preprint versions on your home pages and in your institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library. But any download of your preprint versions will not be counted in ACM usage statistics. If you use these AUTHOR-IZER links instead, usage by visitors to your page will be recorded in the ACM Digital Library and displayed on your page.

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.
Q. What articles are eligible for ACM Author-Izer?
A. ACM Author-Izer can be applied to all the articles authors have ever published with ACM. It is also available to authors who will have articles published in ACM publications in the future.

Q. Are there any restrictions on authors to use this service?
A. No. An author does not need to subscribe to the ACM Digital Library nor even be a member of ACM.

Q. What are the requirements to use this service?
A. To access ACM Author-Izer, authors need to have a free ACM web account, must have an ACM Author Profile page in the Digital Library, and must take ownership of their Author Profile page.

Q. What is an ACM Author Profile Page?
A. The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM Digital Library. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community. Please visit the ACM Author Profile documentation page for more background information on these pages.

Q. How do I find my Author Profile page and take ownership?
A. You will need to take the following steps:
- Create a free ACM Web Account
- Sign-In to the ACM Digital Library
- Find your Author Profile Page by searching the ACM Digital Library for your name
- Find the result you authored (where your author name is a clickable link)
- Click on your name to go to the Author Profile Page
- Click the "Add Personal Information" link on the Author Profile Page
- Wait for ACM review and approval; generally less than 24 hours

Q. Why does my photo not appear?
A. Make sure that the image you submit is in .jpg or .gif format and that the file name does not contain special characters

Q. What if I cannot find the Add Personal Information function on my author page?
A. The ACM account linked to your profile page is different than the one you are logged into. Please logout and login to the account associated with your Author Profile Page.

Q. What happens if an author changes the location of his bibliography or moves to a new institution?
A. Should authors change institutions or sites, they can utilize ACM Author-Izer to disable old links and re-authorize new links for free downloads from a new location.

Q. What happens if an author provides a URL that redirects to the author’s personal bibliography page?
A. The service will not provide a free download from the ACM Digital Library. Instead the person who uses that link will simply go to the Citation Page for that article in the ACM Digital Library where the article may be accessed under the usual subscription rules.

However, if the author provides the target page URL, any link that redirects to that target page will enable a free download from the Service.

Q. What happens if the author’s bibliography lives on a page with several aliases?
A. Only one alias will work, whichever one is registered as the page containing the author’s bibliography. ACM has no technical solution to this problem at this time.

Q. Why should authors use ACM Author-Izer?
A. ACM Author-Izer lets visitors to authors’ personal home pages download articles for no charge from the ACM Digital Library. It allows authors to dynamically display real-time download and citation statistics for each “authorized” article on their personal site.

Q. Does ACM Author-Izer provide benefits for authors?
A. Downloads of definitive articles via Author-Izer links on the authors’ personal web page are captured in official ACM statistics to more accurately reflect usage and impact measurements.

Authors who do not use ACM Author-Izer links will not have downloads from their local, personal bibliographies counted. They do, however, retain the existing right to post author-prepared preprint versions on their home pages or institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library.

Q. How does ACM Author-Izer benefit the computing community?
A. ACM Author-Izer expands the visibility and dissemination of the definitive version of ACM articles. It is based on ACM’s strong belief that the computing community should have the widest possible access to the definitive versions of scholarly literature. By linking authors’ personal bibliography with the ACM Digital Library, user confusion over article versioning should be reduced over time.

In making ACM Author-Izer a free service to both authors and visitors to their websites, ACM is emphasizing its continuing commitment to the interests of its authors and to the computing community in ways that are consistent with its existing subscription-based access model.

Q. How do authors access ACM Author-Izer?
A. See How to Use

Q. Why can’t I find my most recent publication in my ACM Author Profile Page?
A. There is a time delay between publication and the process which associates that publication with an Author Profile Page. Right now, that process usually takes 4-8 weeks.

Q. How does ACM Author-Izer expand ACM’s “Green Path” Access Policies?
A. ACM Author-Izer extends the rights and permissions that authors retain even after copyright transfer to ACM, which has been among the “greenest” publishers. ACM enables its author community to retain a wide range of rights related to copyright and reuse of materials. They include:
- Posting rights that ensure free access to their work outside the ACM Digital Library and print publications
- Rights to reuse any portion of their work in new works that they may create
- Copyright to artistic images in ACM’s graphics-oriented publications that authors may want to exploit in commercial contexts
- All patent rights, which remain with the original owner

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Results

The Pairs Network of Attention model for Fine-grained Classification

A general maximal margin hyper-sphere SVM for multi-class classification

Detection Method of the Secondary Protective Rope for Electric Power Workers Based on UAV Image and YOLO Algorithm

Restoration of Dunhuang Murals on Large-scale pretraining

Points and Descriptors-Net Model for SIFT Features Learning

Gradient Descent Optimization in Deep Learning Model Training Based on Multistage and Method Combination Strategy

Unsupervised Anomaly Detection Based on Deep Autoencoding and Clustering

Multiscale Convolutional Neural Networks with Attention for Plant Species Recognition

Cucumber leaf disease identification with global pooling dilated convolutional neural network

Combining sparse representation and singular value decomposition for plant recognition

Discriminant WSRC for Large-Scale Plant Species Recognition

Semi-supervised orthogonal discriminant projection for plant leaf classification

Plant Leaf Recognition through Local Discriminative Tangent Space Alignment

Multiresolution rotational symmetry detection via radius-based frieze-expansion

BTRES

A new energy-aware task scheduling method for data-intensive applications in the cloud

Orthogonal discriminant neighborhood analysis for tumor classification