Xiang Chen
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- Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (2)
- ACM Transactions on Reconfigurable Technology and Systems (1)
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- 2021 IEEE Global Communications Conference (GLOBECOM) (1)
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- IPEC '22: Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers (1)
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- research-article
Online Learning of Goal-Oriented Status Updating With Unknown Delay Statistics
- Fuzhou Peng
School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China
, - Xijun Wang
School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China
, - Xiang Chen
School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China
IEEE Journal on Selected Areas in Communications, Volume 42, Issue 11•Nov. 2024, pp 3293-3305 • https://doi.org/10.1109/JSAC.2024.3431522With the proliferation of communication demand, goal-oriented communication goes beyond traditional bit-level approaches by emphasizing the significance of information and its relevance to specific goals. This paper addresses the goal-oriented status ...
- 0Citation
MetricsTotal Citations0
- Fuzhou Peng
- research-articlePublished By ACMPublished By ACM
Research on Point-of-Interest Recommendation Method based on Graph Autoencoders and Long Short-Term Preferences
- Xiaoqin Lian
School of Computer and Artificial Intelligence, Beijing Technology and Business University, China
, - Jiachen Mi
School of Computer and Artificial Intelligence, Beijing Technology and Business University, China
, - Chao Gao
School of Computer and Artificial Intelligence, Beijing Technology and Business University, China
, - Xiang Chen
School of Electronics and Information Technology, Sun Yat-sen University, China
, - Weimin Mai
School of Electronics and Information Technology, Sun Yat-sen University, China
, - Wenyang Guan
Key Laboratory of Industrial Internet and Big data, China National Light Industry, Beijing Technology and Business University, China
, - Yonggang Gong
Key Laboratory of Industrial Internet and Big data, China National Light Industry, Beijing Technology and Business University, China
, - Jin Li
Key Laboratory of Industrial Internet and Big data, China National Light Industry, Beijing Technology and Business University, China
ICAICE '23: Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering•November 2023, pp 864-869• https://doi.org/10.1145/3652628.3652772Point-of-Interest (POI) recommendation is one of the most important tasks in the research of Location-based Social Networks (LBSNs). To solve the spatial sparsity problem in POI recommendation, this study proposed a recommendation model based on graph ...
- 0Citation
- 21
- Downloads
MetricsTotal Citations0Total Downloads21Last 12 Months21Last 6 weeks3
- Xiaoqin Lian
- research-article
UP-DPC: Ultra-scalable parallel density peak clustering
- Luyao Ma
School of Electronics and Information Technology, Sun Yat-Sen University, China
Faculty of Computer, Guangdong University of Technology, China
, - Geping Yang
School of Electronics and Information Technology, Sun Yat-Sen University, China
Faculty of Computer, Guangdong University of Technology, China
, - Yiyang Yang
Faculty of Computer, Guangdong University of Technology, China
, - Xiang Chen
School of Electronics and Information Technology, Sun Yat-Sen University, China
, - Juan Lu
Beijing Institute of Petrochemical Technology, China
, - Zhiguo Gong
State Key Laboratory of Internet of Things for Smart City and Department of Computer and Information Science, University of Macau, China
, - Zhifeng Hao
College of Engineering, Shantou University, China
Information Sciences: an International Journal, Volume 660, Issue C•Mar 2024 • https://doi.org/10.1016/j.ins.2024.120114AbstractDensity Peak Clustering (DPC) is a highly effective density-based clustering algorithm, but its scalability is limited by the expensive Density Peak Estimation (DPE) step. To address this challenge, we propose UP-DPC: Ultra-Scalable Parallel ...
- 0Citation
MetricsTotal Citations0
- Luyao Ma
- research-article
Resilient Machine Learning-Based Semantic-Aware MEC Networks for Sustainable Next-G Consumer Electronics
- Yuxin Wu
School of Computer Science, Guangzhou University, Guangzhou, China
, - Shunpu Tang
School of Computer Science, Guangzhou University, Guangzhou, China
, - Lianhong Zhang
School of Computer Science, Guangzhou University, Guangzhou, China
, - Lisheng Fan
School of Computer Science, Guangzhou University, Guangzhou, China
, - Xianfu Lei
School of Information Science and Technology, Institute of Mobile Communications, Southwest Jiaotong University, Chengdu, China
, - Xiang Chen
School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, Guangdong, China
IEEE Transactions on Consumer Electronics, Volume 70, Issue 1•Feb. 2024, pp 2188-2199 • https://doi.org/10.1109/TCE.2023.3338819In this paper, we investigate a semantic-aware mobile edge computing (MEC) network for sustainable next-G consumer electronics, which leverages advanced semantic communication technology to overcome the limitations of available bandwidth and thereby ...
- 2Citation
MetricsTotal Citations2
- Yuxin Wu
- research-article
LiteWSEC: A Lightweight Framework for Web-Scale Spectral Ensemble Clustering
- Geping Yang
Faculty of Computer, Guangdong University of Technology, Guangzhou, China
, - Sucheng Deng
State Key Laboratory of Internet of Things for Smart City and Department of Computer and Information Science, University of Macau, Taipa, Macau, China
, - Can Chen
Department of Accounting and Information Management, University of Macau, Taipa, Macau, China
, - Yiyang Yang
Faculty of Computer, Guangdong University of Technology, Guangzhou, China
, - Zhiguo Gong
State Key Laboratory of Internet of Things for Smart City and Department of Computer and Information Science, University of Macau, Taipa, Macau, China
, - Xiang Chen
School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, China
, - Zhifeng Hao
College of Engineering, Shantou University, Shantou, China
IEEE Transactions on Knowledge and Data Engineering, Volume 35, Issue 10•Oct. 2023, pp 10035-10047 • https://doi.org/10.1109/TKDE.2023.3267167Spectral Clustering (SC) is an effective clustering method for its excellent performance in partitioning non-linearly distributed data. On the other hand, Ensemble Clustering (EC), a different clustering technology, can promote cluster quality by ...
- 0Citation
MetricsTotal Citations0
- Geping Yang
- research-article
An Approximation Algorithm for the h-Hop Independently Submodular Maximization Problem and Its Applications
- Wenzheng Xu
College of Computer Science, Sichuan University, Chengdu, China
, - Hongbin Xie
College of Computer Science, Sichuan University, Chengdu, China
, - Chenxi Wang
College of Computer Science, Sichuan University, Chengdu, China
, - Weifa Liang
Department of Computer Science, City University of Hong Kong, Hong Kong, China
, - Xiaohua Jia
Department of Computer Science, City University of Hong Kong, Hong Kong, China
, - Zichuan Xu
School of Software, Dalian University of Technology, Dalian, China
, - Pan Zhou
Hubei Engineering Research Center on Big Data Security, School of Cyber Science and Engineering, Huazhong University of Science & Technology, Wuhan, China
, - Weigang Wu
School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China
, - Xiang Chen
School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China
IEEE/ACM Transactions on Networking, Volume 31, Issue 3•June 2023, pp 1216-1229 • https://doi.org/10.1109/TNET.2022.3210825This study is motivated by the maximum connected coverage problem (MCCP), which is to deploy a connected UAV network with given <inline-formula> <tex-math notation="LaTeX">$K$ </tex-math></inline-formula> UAVs in the top of a disaster area such that the ...
- 0Citation
- 8
- Downloads
MetricsTotal Citations0Total Downloads8Last 12 Months8Last 6 weeks1
- Wenzheng Xu
- research-articlePublished By ACMPublished By ACM
A Soft-Decision Weighted CNN for Specific Emitter Identification in Aeronautical Monitoring System
- Zhiheng Guo
Sun Yat-sen University, China
, - Yuqiao Huang
Sun Yat-sen University, China
, - Yuxin Li
Sun Yat-sen University, China
, - Zhihao Chen
Sun Yat-sen University, China
, - Xiang Chen
Sun Yat-sen University, China
IPEC '22: Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers•April 2022, pp 573-580• https://doi.org/10.1145/3544109.3544315Specific Emitter Identification (SEI) is a hot topic in the field of aeronautical communication such as aviation safety. In this paper, we proposed a soft-decision weighted CNN model to make SEI in the field of special aeronautical monitoring system, ...
- 1Citation
- 40
- Downloads
MetricsTotal Citations1Total Downloads40Last 12 Months10Last 6 weeks2
- Zhiheng Guo
- research-articleOpen AccessPublished By ACMPublished By ACM
RapidLayout: Fast Hard Block Placement of FPGA-optimized Systolic Arrays Using Evolutionary Algorithm
- Niansong Zhang
Sun Yat-sen University, Guangzhou, Guangdong, China
, - Xiang Chen
Sun Yat-sen University, Guangzhou, Guangdong, China
, - Nachiket Kapre
University of Waterloo, Waterloo, Ontario, Canada
ACM Transactions on Reconfigurable Technology and Systems, Volume 15, Issue 4•December 2022, Article No.: 38, pp 1-23 • https://doi.org/10.1145/3501803Evolutionary algorithms can outperform conventional placement algorithms such as simulated annealing, analytical placement, and manual placement on runtime, wirelength, pipelining cost, and clock frequency when mapping hard block intensive designs such as ...
- 5Citation
- 3,159
- Downloads
MetricsTotal Citations5Total Downloads3,159Last 12 Months1,109Last 6 weeks182
- Niansong Zhang
- research-article
Maximizing h-hop Independently Submodular Functions Under Connectivity Constraint
- Wenzheng Xu
Sichuan University,College of Computer Science,Chengdu,P. R. China
, - Dezhong Peng
Sichuan University,College of Computer Science,Chengdu,P. R. China
, - Weifa Liang
City University of Hong Kong,Department of Computer Science,Hong Kong,P. R. China
, - Xiaohua Jia
City University of Hong Kong,Department of Computer Science,Hong Kong,P. R. China
, - Zichuan Xu
Dalian University of Technology,School of Software,Dalian,P. R. China
, - Pan Zhou
Huazhong University of Science and Technology,School of Cyber Science and Engineering,Wuhan,China
, - Weigang Wu
Sun Yat-sen University,Guangzhou,China,510006
, - Xiang Chen
Sun Yat-sen University,Guangzhou,China,510006
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications•May 2022, pp 1099-1108• https://doi.org/10.1109/INFOCOM48880.2022.9796957This study is motivated by the maximum connected coverage problem (MCCP), which is to deploy a connected UAV network with given K UAVs in the top of a disaster area such that the number of users served by the UAVs is maximized. The deployed UAV network ...
- 0Citation
MetricsTotal Citations0
- Wenzheng Xu
- research-articleOpen Access
Unequal error protection transmission for federated learning
- Sihui Zheng
School of Electronics and Information Technology Sun Yat‐Sen University China
, - Xiang Chen
School of Electronics and Information Technology Sun Yat‐Sen University China
IET Communications, Volume 16, Issue 10•23 June 2022, pp 1106-1118 • https://doi.org/10.1049/cmu2.12379AbstractCommunication has been recognized as one of the primary challenges of federated learning (FL), but the actual communication algorithm or protocol design is still rarely involved in the existing studies. In the paper, viewing the model exchange in ...
- 0Citation
MetricsTotal Citations0
- Sihui Zheng
- research-article
Signaling Overhead-Constrained Throughput Optimization for 5G Packet-Based Random Access with mMTC
- Yiwen Liang
School of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-sen University
, - Wen Zhan
School of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-sen University
, - Xinghua Sun
School of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-sen University
, - Kai Xie
School of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-sen University
, - Xiang Chen
School of Electronics and Information Technology, Sun Yat-sen University
2021 IEEE Global Communications Conference (GLOBECOM)•December 2021, pp 1-6• https://doi.org/10.1109/GLOBECOM46510.2021.9685888To reduce the signaling overhead for sporadic small packet transmission in massive Machine Type Communications (mMTC), Packet-Based Random Access (PBRA) scheme is introduced in 5G system, where devices can transmit data packets in the random access ...
- 0Citation
MetricsTotal Citations0
- Yiwen Liang
- research-articlePublished By ACMPublished By ACM
Personalized Context-aware Collaborative Online Activity Prediction
- Yali Fan
School of Electronics and Information Technology, Sun Yat-Sen University, China
, - Zhen Tu
Tencent Inc. China
, - Yong Li
Department of Electrical Engineering, Tsinghua University, China
, - Xiang Chen
School of Electronics and Information Technology, Sun Yat-Sen University, China
, - Hui Gao
Tencent Inc. China
, - Lin Zhang
School of Electronics and Information Technology, Sun Yat-Sen University, China
, - Li Su
Department of Electrical Engineering, Tsinghua University, China
, - Depeng Jin
Department of Electrical Engineering, Tsinghua University, China
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 3, Issue 4•December 2019, Article No.: 132, pp 1-28 • https://doi.org/10.1145/3369829With the rapid development of Internet services and mobile devices, nowadays, users can connect to online services anytime and anywhere. Naturally, user's online activity behavior is coupled with time and location contexts and highly influenced by them. ...
- 20Citation
- 588
- Downloads
MetricsTotal Citations20Total Downloads588Last 12 Months50Last 6 weeks4
- Yali Fan
- research-articlePublished By ACMPublished By ACM
From Fingerprint to Footprint: Cold-start Location Recommendation by Learning User Interest from App Data
- Zhen Tu
Department of Electrical Engineering, Tsinghua University, China
, - Yali Fan
Sun Yat-Sen University, China
, - Yong Li
Department of Electrical Engineering, Tsinghua University, Beijing, China
, - Xiang Chen
Sun Yat-Sen University, China
, - Li Su
Tsinghua University, China
, - Depeng Jin
Beijing National Research Center for Information Science and Technology(BNRist), Department of Electrical Engineering, Tsinghua University, China
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 3, Issue 1•March 2019, Article No.: 26, pp 1-22 • https://doi.org/10.1145/3314413With increasing diversity of user interest and preference, personalized location recommendation is essential and beneficial to our daily life. To achieve this, the most critical challenge is the cold-start recommendation problem, for we cannot learn ...
- 18Citation
- 485
- Downloads
MetricsTotal Citations18Total Downloads485Last 12 Months25Last 6 weeks1
- Zhen Tu
- posterPublished By ACMPublished By ACM
Detecting Human Interaction Borders in City: The Shanghai Case
- Tong Xia
Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China
, - Fengli Xu
Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China
, - Jieli Yin
Sun Yat-sen University, Guangzhou, China
, - Xiang Chen
Sun Yat-sen University, Guangzhou, China
, - Yong Li
Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China
, - Qingmin Liao
Graduate School at Shenzhen, Tsinghua University, Shenzhen, China
UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers•October 2018, pp 295-298• https://doi.org/10.1145/3267305.3267555Detecting human interaction borders in urban environment, the geographical perimeter of dense human mobility interaction, is important for mobility-related city resource allocation and urban planning. However, with the advance of transportation ...
- 0Citation
- 147
- Downloads
MetricsTotal Citations0Total Downloads147Last 12 Months3
- Tong Xia
- research-article
Flight Time Minimization of UAV for Data Collection Over Wireless Sensor Networks
- Jie Gong
School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China
, - Tsung-Hui Chang
School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China
, - Chao Shen
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China
, - Xiang Chen
School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China
IEEE Journal on Selected Areas in Communications, Volume 36, Issue 9•Sept. 2018, pp 1942-1954 • https://doi.org/10.1109/JSAC.2018.2864420In this paper, we consider a scenario where an unmanned aerial vehicle (UAV) collects data from a set of sensors on a straight line. The UAV can either cruise or hover while communicating with the sensors. The objective is to minimize the UAV’s ...
- 43Citation
MetricsTotal Citations43
- Jie Gong
- research-article
Aviation time minimization of UAV for data collection from energy constrained sensor networks
- Jie Gong
School of Data and Computer Science, Sun Yat-Sen University, Guangzhou 510006, China
, - Tsung-Hui Chang
School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China
, - Chao Shen
State Key Lab of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China
, - Xiang Chen
School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou 510006, China
2018 IEEE Wireless Communications and Networking Conference (WCNC)•April 2018, pp 1-6• https://doi.org/10.1109/WCNC.2018.8377357In this paper, we study the problem of data collection by an unmanned aerial vehicle (UAV) from a set of sensors located on a straight line. The objective is to minimize the UAV's total aviation time while allowing each of the sensors to successfully ...
- 0Citation
MetricsTotal Citations0
- Jie Gong
- research-article
Research and Implementation of Rateless Spinal Codes Based Massive MIMO System
- Zesong Fei,
- Liangliang Wang
School of Electronic and Information Technology Sun Yat-sen University Guangzhou 510006 China sysu.edu.cn
Key Lab of EDA Research Institute of Tsinghua University in Shenzhen (RITS) Shenzhen 518075 China
, - Hongzhou Tan
School of Electronic and Information Technology Sun Yat-sen University Guangzhou 510006 China sysu.edu.cn
, - Xiang Chen
School of Electronic and Information Technology Sun Yat-sen University Guangzhou 510006 China sysu.edu.cn
Key Lab of EDA Research Institute of Tsinghua University in Shenzhen (RITS) Shenzhen 518075 China
The potential performance gains promised by massive multi-input and multioutput (MIMO) rely heavily on the access to accurate channel state information (CSI), which is difficult to obtain in practice when channel coherence time is short and the number ...
- 0Citation
MetricsTotal Citations0
Author Profile Pages
- Description: The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM bibliographic database, the Guide. Coverage of ACM publications is comprehensive from the 1950's. Coverage of other publishers generally starts in the mid 1980's. 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 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.
- Normalization: ACM uses normalization algorithms to weigh several types of evidence for merging and splitting names.
These include:- co-authors: if we have two names and cannot disambiguate them based on name alone, then we see if they have a co-author in common. If so, this weighs towards the two names being the same person.
- affiliations: names in common with same affiliation weighs toward the two names being the same person.
- publication title: names in common whose works are published in same journal weighs toward the two names being the same person.
- keywords: names in common whose works address the same subject matter as determined from title and keywords, weigh toward being the same person.
The more conservative the merging algorithms, the more bits of evidence are required before a merge is made, resulting in greater precision but lower recall of works for a given Author Profile. Many bibliographic records have only author initials. Many names lack affiliations. With very common family names, typical in Asia, more liberal algorithms result in mistaken merges.
Automatic normalization of author names is not exact. Hence it is clear that manual intervention based on human knowledge is required to perfect algorithmic results. ACM is meeting this challenge, continuing to work to improve the automated merges by tweaking the weighting of the evidence in light of experience.
- Bibliometrics: In 1926, Alfred Lotka formulated his power law (known as Lotka's Law) describing the frequency of publication by authors in a given field. According to this bibliometric law of scientific productivity, only a very small percentage (~6%) of authors in a field will produce more than 10 articles while the majority (perhaps 60%) will have but a single article published. With ACM's first cut at author name normalization in place, the distribution of our authors with 1, 2, 3..n publications does not match Lotka's Law precisely, but neither is the distribution curve far off. For a definition of ACM's first set of publication statistics, see Bibliometrics
- Future Direction:
The initial release of the Author Edit Screen is open to anyone in the community with an ACM account, but it is limited to personal information. An author's photograph, a Home Page URL, and an email may be added, deleted or edited. Changes are reviewed before they are made available on the live site.
ACM will expand this edit facility to accommodate more types of data and facilitate ease of community participation with appropriate safeguards. In particular, authors or members of the community will be able to indicate works in their profile that do not belong there and merge others that do belong but are currently missing.
A direct search interface for Author Profiles will be built.
An institutional view of works emerging from their faculty and researchers will be provided along with a relevant set of metrics.
It is possible, too, that the Author Profile page may evolve to allow interested authors to upload unpublished professional materials to an area available for search and free educational use, but distinct from the ACM Digital Library proper. It is hard to predict what shape such an area for user-generated content may take, but it carries interesting potential for input from the community.
Bibliometrics
The ACM DL is a comprehensive repository of publications from the entire field of computing.
It is ACM's intention to make the derivation of any publication statistics it generates clear to the user.
- Average citations per article = The total Citation Count divided by the total Publication Count.
- Citation Count = cumulative total number of times all authored works by this author were cited by other works within ACM's bibliographic database. Almost all reference lists in articles published by ACM have been captured. References lists from other publishers are less well-represented in the database. Unresolved references are not included in the Citation Count. The Citation Count is citations TO any type of work, but the references counted are only FROM journal and proceedings articles. Reference lists from books, dissertations, and technical reports have not generally been captured in the database. (Citation Counts for individual works are displayed with the individual record listed on the Author Page.)
- Publication Count = all works of any genre within the universe of ACM's bibliographic database of computing literature of which this person was an author. Works where the person has role as editor, advisor, chair, etc. are listed on the page but are not part of the Publication Count.
- Publication Years = the span from the earliest year of publication on a work by this author to the most recent year of publication of a work by this author captured within the ACM bibliographic database of computing literature (The ACM Guide to Computing Literature, also known as "the Guide".
- Available for download = the total number of works by this author whose full texts may be downloaded from an ACM full-text article server. Downloads from external full-text sources linked to from within the ACM bibliographic space are not counted as 'available for download'.
- Average downloads per article = The total number of cumulative downloads divided by the number of articles (including multimedia objects) available for download from ACM's servers.
- Downloads (cumulative) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server since the downloads were first counted in May 2003. The counts displayed are updated monthly and are therefore 0-31 days behind the current date. Robotic activity is scrubbed from the download statistics.
- Downloads (12 months) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server over the last 12-month period for which statistics are available. The counts displayed are usually 1-2 weeks behind the current date. (12-month download counts for individual works are displayed with the individual record.)
- Downloads (6 weeks) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server over the last 6-week period for which statistics are available. The counts displayed are usually 1-2 weeks behind the current date. (6-week download counts for individual works are displayed with the individual record.)
ACM Author-Izer Service
Summary Description
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. 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