Mengbai Xiao
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Proceedings/Book Names
- IEEE INFOCOM 2018 - IEEE Conference on Computer Communications (2)
- MM '20: Proceedings of the 28th ACM International Conference on Multimedia (2)
- MM '23: Proceedings of the 31st ACM International Conference on Multimedia (2)
- HotCloud'15: Proceedings of the 7th USENIX Conference on Hot Topics in Cloud Computing (1)
- ICS '19: Proceedings of the ACM International Conference on Supercomputing (1)
- ImmerCom '23: Proceedings of the 1st ACM Workshop on Mobile Immersive Computing, Networking, and Systems (1)
- MM '16: Proceedings of the 24th ACM international conference on Multimedia (1)
- MM '17: Proceedings of the 25th ACM international conference on Multimedia (1)
- MM '18: Proceedings of the 26th ACM international conference on Multimedia (1)
- MM '19: Proceedings of the 27th ACM International Conference on Multimedia (1)
- MM '22: Proceedings of the 30th ACM International Conference on Multimedia (1)
- MM '24: Proceedings of the 32nd ACM International Conference on Multimedia (1)
- MMSys '23: Proceedings of the 14th ACM Multimedia Systems Conference (1)
- NOSSDAV '15: Proceedings of the 25th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video (1)
- NOSSDAV '16: Proceedings of the 26th International Workshop on Network and Operating Systems Support for Digital Audio and Video (1)
- SEC '19: Proceedings of the 4th ACM/IEEE Symposium on Edge Computing (1)
- SoCC '21: Proceedings of the ACM Symposium on Cloud Computing (1)
- VEE 2019: Proceedings of the 15th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments (1)
- WWW '16: Proceedings of the 25th International Conference on World Wide Web (1)
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- research-articlePublished By ACMPublished By ACM
LiteQUIC: Improving QoE of Video Streams by Reducing CPU Overhead of QUIC
- Pengqiang Bi
Shandong University, Qingdao, China
, - Yifei Zou
Shandong University, Qingdao, China
, - Mengbai Xiao
Shandong University, Qingdao, China
, - Dongxiao Yu
Shandong University, Qingdao, China
, - Yijun Li
Baishan Cloud, Guiyang, China
, - Zhixiong Liu
Baishan Cloud, Guiyang, China
, - Qun Xie
Baishan Cloud, Guiyang, China
MM '24: Proceedings of the 32nd ACM International Conference on Multimedia•October 2024, pp 7918-7927• https://doi.org/10.1145/3664647.3681670QUIC is the underlying protocol of the next generation HTTP/3, serving as the major vehicle delivering video data nowadays. As a userspace protocol based on UDP, QUIC features low transmission latency and has been widely deployed by content providers. ...
- 0Citation
- 71
- Downloads
MetricsTotal Citations0Total Downloads71Last 12 Months71Last 6 weeks37
- Pengqiang Bi
- research-article
Reordering and Compression for Hypergraph Processing
- Yu Liu
School of Computer Science and Technology, Shandong University, Qingdao, China
, - Qi Luo
School of Computer Science and Technology, Shandong University, Qingdao, China
, - Mengbai Xiao
School of Computer Science and Technology, Shandong University, Qingdao, China
, - Dongxiao Yu
School of Computer Science and Technology, Shandong University, Qingdao, China
, - Huashan Chen
Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China
, - Xiuzhen Cheng
School of Computer Science and Technology, Shandong University, Qingdao, China
IEEE Transactions on Computers, Volume 73, Issue 6•June 2024, pp 1486-1499 • https://doi.org/10.1109/TC.2024.3377915Hypergraphs are applicable to various domains such as social contagion, online groups, and protein structures due to their effective modeling of multivariate relationships. However, the increasing size of hypergraphs has led to high computation costs, ...
- 1Citation
MetricsTotal Citations1
- Yu Liu
- research-article
Value of Information: A Comprehensive Metric for Client Selection in Federated Edge Learning
- Yifei Zou
Institute of Intelligent Computing, School of Computer Science and Technology, Shandong University, Qingdao, P.R. China
, - Shikun Shen
Institute of Intelligent Computing, School of Computer Science and Technology, Shandong University, Qingdao, P.R. China
, - Mengbai Xiao
Institute of Intelligent Computing, School of Computer Science and Technology, Shandong University, Qingdao, P.R. China
, - Peng Li
School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Japan
, - Dongxiao Yu
Institute of Intelligent Computing, School of Computer Science and Technology, Shandong University, Qingdao, P.R. China
, - Xiuzhen Cheng
Institute of Intelligent Computing, School of Computer Science and Technology, Shandong University, Qingdao, P.R. China
IEEE Transactions on Computers, Volume 73, Issue 4•April 2024, pp 1152-1164 • https://doi.org/10.1109/TC.2024.3355777Federated edge learning (FEEL) is a novel paradigm that enables privacy-preserving and distributed machine learning on end devices. However, FEEL faces challenges from data/system heterogeneity among the participating clients and resource constraints of ...
- 0Citation
MetricsTotal Citations0
- Yifei Zou
- research-article
A GPU-Enabled Real-Time Framework for Compressing and Rendering Volumetric Videos
- Dongxiao Yu
School of Computer Science and Technology, Shandong University, Qingdao, Shandong, China
, - Ruopeng Chen
School of Computer Science and Technology, Shandong University, Qingdao, Shandong, China
, - Xin Li
School of Computer Science and Technology, Shandong University, Qingdao, Shandong, China
, - Mengbai Xiao
School of Computer Science and Technology, Shandong University, Qingdao, Shandong, China
, - Guanghui Zhang
School of Computer Science and Technology, Shandong University, Qingdao, Shandong, China
, - Yao Liu
Department of Electrical & Computer Engineering, School of Engineering, Rutgers University, New Brunswick, NJ, USA
IEEE Transactions on Computers, Volume 73, Issue 3•March 2024, pp 789-800 • https://doi.org/10.1109/TC.2023.3343104Nowadays, volumetric videos have emerged as an attractive multimedia application providing highly immersive watching experiences since viewers could adjust their viewports at 6 degrees-of-freedom. However, the point cloud frames composing the video are ...
- 0Citation
MetricsTotal Citations0
- Dongxiao Yu
- research-articleOpen AccessPublished By ACMPublished By ACM
VQBA: Visual-Quality-Driven Bit Allocation for Low-Latency Point Cloud Streaming
- Shuoqian Wang
SUNY Binghamton, Binghamton, NY, USA
, - Mufeng Zhu
Rutgers University, Piscataway, NJ, USA
, - Na Li
Rutgers University, Piscataway, NJ, USA
, - Mengbai Xiao
Shandong University, Qingdao, China
, - Yao Liu
Rutgers University, Piscataway, NJ, USA
MM '23: Proceedings of the 31st ACM International Conference on Multimedia•October 2023, pp 9143-9151• https://doi.org/10.1145/3581783.3612486Video-based Point Cloud Compression (V-PCC) is an emerging standard for encoding dynamic point cloud data. With V-PCC, point cloud data is segmented, projected, and packed on to 2D video frames, which can be compressed using existing video coding ...
- 1Citation
- 345
- Downloads
MetricsTotal Citations1Total Downloads345Last 12 Months271Last 6 weeks33
- Shuoqian Wang
- research-articlePublished By ACMPublished By ACM
An Intelligent Learning Approach to Achieve Near-Second Low-Latency Live Video Streaming under Highly Fluctuating Networks
- Guanghui Zhang
Shandong University, Qingdao, China
, - Ke Liu
Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
, - Mengbai Xiao
Shandong University, Qingdao, China
, - Bingshu Wang
Northwestern Polytechnical University, Suzhou, China
, - Vaneet Aggarwal
Purdue University, West Lafayette, IN, USA
MM '23: Proceedings of the 31st ACM International Conference on Multimedia•October 2023, pp 8067-8075• https://doi.org/10.1145/3581783.3612154Fueled by the rapid advances in high-speed mobile networks, live video streaming has seen explosive growth in recent years and many DASH-based bitrate adaptive streaming algorithms were specifically proposed for low-latency video delivery. However, our ...
- 0Citation
- 192
- Downloads
MetricsTotal Citations0Total Downloads192Last 12 Months124Last 6 weeks13
- Guanghui Zhang
- research-articlePublished By ACMPublished By ACM
Preserving High Quality in A Learning-based Compression Model for Point Cloud Videos
- Haofei Yin
School of Computer Science and Technology, Shandong University, Qingdao, China
, - Mengbai Xiao
School of Computer Science and Technology, Shandong University, Qingdao, China
, - Dongxiao Yu
School of Computer Science and Technology, Shandong University, Qingdao, China
ImmerCom '23: Proceedings of the 1st ACM Workshop on Mobile Immersive Computing, Networking, and Systems•October 2023, pp 215-221• https://doi.org/10.1145/3615452.3617942High-resolution point cloud videos combined with 3D scenes can create creative viewing modes. However, their enormous data volume demands effective compression techniques. In this work, we propose a deep learning-based model for compressing point ...
- 0Citation
- 79
- Downloads
MetricsTotal Citations0Total Downloads79Last 12 Months50Last 6 weeks7
- Haofei Yin
- research-articlePublished By ACMPublished By ACM
patchVVC: A Real-time Compression Framework for Streaming Volumetric Videos
- Ruopeng Chen
School of Computer Science and Technology, Shandong University, Qingdao, Shandong, China
, - Mengbai Xiao
School of Computer Science and Technology, Shandong University, Qingdao, Shandong, China
, - Dongxiao Yu
School of Computer Science and Technology, Shandong University, Qingdao, Shandong, China
, - Guanghui Zhang
School of Computer Science and Technology, Shandong University, Qingdao, Shandong, China
, - Yao Liu
Department of Electrical & Computer Engineering, Rutgers University, New Brunswick-Piscataway, New Jersey, United States of America
MMSys '23: Proceedings of the 14th ACM Multimedia Systems Conference•June 2023, pp 119-129• https://doi.org/10.1145/3587819.3590983Nowadays, volumetric video has emerged as an attractive multimedia application, which provides highly immersive watching experiences. However, streaming the volumetric video demands prohibitively high bandwidth. Thus, effectively compressing its ...
- 1Citation
- 396
- Downloads
MetricsTotal Citations1Total Downloads396Last 12 Months220Last 6 weeks16
- Ruopeng Chen
- research-articlePublic AccessPublished By ACMPublished By ACM
Maze: A Cost-Efficient Video Deduplication System at Web-scale
- An Qin
Baidu Inc., Beijing, China
, - Mengbai Xiao
Shandong University, Qingdao, China
, - Ben Huang
Baidu Inc., Beijing, China
, - Xiaodong Zhang
The Ohio State University, Columbus, OH, USA
MM '22: Proceedings of the 30th ACM International Conference on Multimedia•October 2022, pp 3163-3172• https://doi.org/10.1145/3503161.3548145With the advancement and dominant service of Internet videos, the content-based video deduplication system becomes an essential and dependent infrastructure for Internet video service. However, the explosively growing video data on the Internet ...
- 1Citation
- 440
- Downloads
MetricsTotal Citations1Total Downloads440Last 12 Months221Last 6 weeks35- 1
Supplementary MaterialMM2022-fp1662.mp4
- An Qin
- research-articlePublished By ACMPublished By ACM
An RDMA-enabled In-memory Computing Platform for R-tree on Clusters
- Mengbai Xiao
School of Computer Science and Technology, Shandong University, Qingdao, Shandong, China
, - Hao Wang
Dept. of Computer Science and Engineering, The Ohio State University, Columbus, OH, USA
, - Liang Geng
Dept. of Computer Science and Engineering, The Ohio State University, Columbus, OH, USA
, - Rubao Lee
United Parallel Computing Corporation, Lewis Center, OH, USA
, - Xiaodong Zhang
Dept. of Computer Science and Engineering, The Ohio State University, Columbus, OH, USA
ACM Transactions on Spatial Algorithms and Systems, Volume 8, Issue 2•June 2022, Article No.: 15, pp 1-26 • https://doi.org/10.1145/3503513R-tree is a foundational data structure used in spatial databases and scientific databases. With the advancement of networks and computer architectures, in-memory data processing for R-tree in distributed systems has become a common platform. We have ...
- 3Citation
- 507
- Downloads
MetricsTotal Citations3Total Downloads507Last 12 Months107Last 6 weeks7
- Mengbai Xiao
- research-articleOpen AccessPublished By ACMPublished By ACM
Mind the Gap: Broken Promises of CPU Reservations in Containerized Multi-tenant Clouds
- Li Liu
George Mason University, Fairfax, VA, USA
, - Haoliang Wang
Adobe Research, San Jose, CA, USA
, - An Wang
Case Western Reserve University, Cleveland, OH, USA
, - Mengbai Xiao
Shandong University Qingdao, Shandong, China
, - Yue Cheng
George Mason University, Fairfax, VA, USA
, - Songqing Chen
George Mason University, Fairfax, VA, USA
SoCC '21: Proceedings of the ACM Symposium on Cloud Computing•November 2021, pp 243-257• https://doi.org/10.1145/3472883.3486997Containerization is becoming increasingly popular, but unfortunately, containers often fail to deliver the anticipated performance with the allocated resources. In this paper, we first demonstrate the performance variance and degradation are significant (...
- 5Citation
- 1,198
- Downloads
MetricsTotal Citations5Total Downloads1,198Last 12 Months327Last 6 weeks44- 1
Supplementary MaterialDay2_5-3.mp4
- Li Liu
- research-article
Mixer: efficiently understanding and retrieving visual content at web-scale
- An Qin
Baidu, Inc.
, - Mengbai Xiao
Shandong University
, - Yongwei Wu
Baidu, Inc.
, - Xinjie Huang
Baidu, Inc.
, - Xiaodong Zhang
The Ohio State University
Proceedings of the VLDB Endowment, Volume 14, Issue 12•July 2021, pp 2906-2917 • https://doi.org/10.14778/3476311.3476371Visual contents, including images and videos, are dominant on the Internet today. The conventional search engine is mainly designed for textual documents, which must be extended to process and manage increasingly high volumes of visual data objects.
In ...
- 3Citation
- 126
- Downloads
MetricsTotal Citations3Total Downloads126Last 12 Months21Last 6 weeks2
- An Qin
- research-articlePublished By ACMPublished By ACM
SphericRTC: A System for Content-Adaptive Real-Time 360-Degree Video Communication
- Shuoqian Wang
Binghamton University, Binghamton, NY, USA
, - Xiaoyang Zhang
Binghamton University, Binghamton, NY, USA
, - Mengbai Xiao
The Ohio State University, Columbus, OH, USA
, - Kenneth Chiu
Binghamton University, Binghamton, NY, USA
, - Yao Liu
Binghamton University, Binghamton, NY, USA
MM '20: Proceedings of the 28th ACM International Conference on Multimedia•October 2020, pp 3595-3603• https://doi.org/10.1145/3394171.3413999We present the SphericRTC system for real-time 360-degree video communication. 360-degree video allows the viewer to observe the environment in any direction from the camera location. This more-immersive streaming experience allows users to more-...
- 5Citation
- 394
- Downloads
MetricsTotal Citations5Total Downloads394Last 12 Months35Last 6 weeks3- 1
Supplementary Material3394171.3413999.mp4
- Shuoqian Wang
- research-articlePublished By ACMPublished By ACM
AdaP-360: User-Adaptive Area-of-Focus Projections for Bandwidth-Efficient 360-Degree Video Streaming
- Chao Zhou
SUNY Binghamton, Binghamton, NY, USA
, - Shuoqian Wang
SUNY Binghamton, Binghamton, NY, USA
, - Mengbai Xiao
Ohio State University, Columbus, OH, USA
, - Sheng Wei
Rutgers University, Piscataway, NJ, USA
, - Yao Liu
SUNY Binghamton, Binghamton, NY, USA
MM '20: Proceedings of the 28th ACM International Conference on Multimedia•October 2020, pp 3715-3723• https://doi.org/10.1145/3394171.3413521360-degree video is an emerging medium that presents an immersive view of the environment to the user. Despite its potential to provide an immersive watching experience, 360-degree video has not achieved widespread popularity. A significant cause of ...
- 3Citation
- 266
- Downloads
MetricsTotal Citations3Total Downloads266Last 12 Months19Last 6 weeks4- 1
Supplementary Material3394171.3413521.mp4
- Chao Zhou
- posterPublished By ACMPublished By ACM
FFmpeg360 for 360-degree videos: edge-based transcoding, view rendering, and visual quality comparison: poster
- Yao Liu
SUNY Binghamton
, - Chao Zhou
SUNY Binghamton
, - Shuoqian Wang
SUNY Binghamton
, - Mengbai Xiao
The Ohio State University
SEC '19: Proceedings of the 4th ACM/IEEE Symposium on Edge Computing•November 2019, pp 337-339• https://doi.org/10.1145/3318216.3363372360-degree video streaming is an emerging technology that provides immersive experiences to users. However, it both requires high streaming bandwidth and wastes a significant portion of the bandwidth. To improve bandwidth-efficiency, researchers have ...
- 5Citation
- 325
- Downloads
MetricsTotal Citations5Total Downloads325Last 12 Months10Last 6 weeks1
- Yao Liu
- research-articlePublic AccessPublished By ACMPublished By ACM
Companion Paper for "MiniView Layout for Bandwidth-Efficient 360-Degree Video"
- Mengbai Xiao
The Ohio State University, Columbus, OH, USA
, - Shuoqian Wang
SUNY Binghamton, Binghamton, NY, USA
, - Chao Zhou
SUNY Binghamton, Binghamton, NY, USA
, - Li Liu
George Mason University, Fairfax, VA, USA
, - Zhenhua Li
Tsinghua University, Beijing, UNK, China
, - Yao Liu
SUNY Binghamton, Binghamtton, NY, USA
, - Songqing Chen
George Mason University, Fairfax, VA, USA
, - Lucile Sassatelli
Universite Cote d'Azur, CNRS, I3S, Nice, UNK, France
, - Gwendal Simon
IMT Atlantique, Nantes, UNK, France
MM '19: Proceedings of the 27th ACM International Conference on Multimedia•October 2019, pp 1085-1088• https://doi.org/10.1145/3343031.3351168This artifact includes source code, scripts and datasets required to reproduce the experimental figures in the evaluation of the MM'18 paper, which is entitled "MiniView Layout for Bandwidth-Efficient 360-Degree Video". The artifact reports the ...
- 0Citation
- 397
- Downloads
MetricsTotal Citations0Total Downloads397Last 12 Months141Last 6 weeks24- 1
Supplementary Materialrepro04aux.zip
- Mengbai Xiao
- research-articlePublished By ACMPublished By ACM
HYPHA: a framework based on separation of parallelisms to accelerate persistent homology matrix reduction
- Simon Zhang
The Ohio State University
, - Mengbai Xiao
The Ohio State University
, - Chengxin Guo
The Ohio State University and Renmin University of China, China
, - Liang Geng
The Ohio State University and Northeastern University, China
, - Hao Wang
The Ohio State University
, - Xiaodong Zhang
The Ohio State University
ICS '19: Proceedings of the ACM International Conference on Supercomputing•June 2019, pp 69-81• https://doi.org/10.1145/3330345.3332147Persistent homology (PH) matrix reduction is an important tool for data analytics in many application areas. Due to its highly irregular execution patterns in computation, it is challenging to gain high efficiency in parallel processing for increasingly ...
- 8Citation
- 219
- Downloads
MetricsTotal Citations8Total Downloads219Last 12 Months21Last 6 weeks1
- Simon Zhang
- research-articlePublic AccessPublished By ACMPublished By ACM
vCPU as a container: towards accurate CPU allocation for VMs
- Li Liu
George Mason University, USA
, - Haoliang Wang
Adobe Research, USA
, - An Wang
Case Western Reserve University, USA
, - Mengbai Xiao
Ohio State University, USA
, - Yue Cheng
George Mason University, USA
, - Songqing Chen
George Mason University, USA
VEE 2019: Proceedings of the 15th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments•April 2019, pp 193-206• https://doi.org/10.1145/3313808.3313814With our increasing reliance on cloud computing, accurate resource allocation of virtual machines (or domains) in the cloud have become more and more important. However, the current design of hypervisors (or virtual machine monitors) fails to accurately ...
- 7Citation
- 822
- Downloads
MetricsTotal Citations7Total Downloads822Last 12 Months162Last 6 weeks17
- Li Liu
- research-articlePublic AccessPublished By ACMPublished By ACM
MiniView Layout for Bandwidth-Efficient 360-Degree Video
- Mengbai Xiao
George Mason University, Fairfax, VA, USA
, - Shuoqian Wang
SUNY Binghamton, Binghamton, NY, USA
, - Chao Zhou
SUNY Binghamton, Binghamton, NY, USA
, - Li Liu
George Mason University, Fairfax, VA, USA
, - Zhenhua Li
Tsinghua University, Beijing, China
, - Yao Liu
SUNY Binghamton, Binghamton, NY, USA
, - Songqing Chen
George Mason University, Fairfax, VA, USA
MM '18: Proceedings of the 26th ACM international conference on Multimedia•October 2018, pp 914-922• https://doi.org/10.1145/3240508.3240705With the recent increase in popularity of VR devices, 360-degree video has become increasingly popular. As more users experience this new medium, it will likely see further increases in popularity as users experience its greater immersiveness compared ...
- 12Citation
- 641
- Downloads
MetricsTotal Citations12Total Downloads641Last 12 Months225Last 6 weeks20
- Mengbai Xiao
- research-article
BAS-360°: Exploring Spatial and Temporal Adaptability in 360-degree Videos over HTTP/2
- Mengbai Xiao
Department of Computer Science, George Mason University
, - Chao Zhou
SUNY Binghamton, Department of Computer Science
, - Viswanathan Swaminathan
Adobe Research Adobe Systems Inc.
, - Yao Liu
SUNY Binghamton, Department of Computer Science
, - Songqing Chen
Department of Computer Science, George Mason University
IEEE INFOCOM 2018 - IEEE Conference on Computer Communications•April 2018, pp 953-961• https://doi.org/10.1109/INFOCOM.2018.8486390Today, 360-degree video streaming has become a popular Internet service with the rise of affordable virtual reality (VR) technologies. However, streaming 360-degree videos suffers from the prohibitive bandwidth demand. Existing bandwidth-efficient ...
- 2Citation
MetricsTotal Citations2
- Mengbai Xiao
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