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Frontiers of Information Technology & Electronic Engineering

Frontiers of Information Technology & Electronic Engineering

Editors-in-Chief: Y.-h. PAN; X.-c. LU

ISSN: 2095-9184 (print version)
ISSN: 2095-9230 (electronic version)

Journal no. 11714

Call for Papers: FITEE Special Issue on “AI for Visualization”

Submission Deadline: July 31, 2019

Artificial intelligence (AI) techniques, such as deep learning, have achieved breakthrough in various tasks in recent years, such as computer vision, natural language processing and speech recognition. The great success of AI techniques has inspired a wide range of visualization applications. First, while data transformation is one of the core steps in visualization, recent embedding techniques and deep neural networks provide new representations for complex data, disclosing latent features and enabling efficient operations. Second, inspired by recent advances of understanding visual contents in computer vision, researchers have begun to introduce AI in visualization, such as data-driven quality metrics. Third, while the main goal of visualization is to create new visual representation, data-driven design has become a new methodology of visualization generation. In addition, a great many of applications, such as predictive visual analytics, have also been facilitated by recent AI techniques.
Introducing recent AI techniques into visualization applications, however, yields new methodological and practical challenges that need to be addressed. First, unlike computer vision that can collect training data conveniently, high-quality training data for specific visualization tasks are scare. Second, visual contents in information visualization are rather different from natural visual objects. The latter often have specific contours and textures. Therefore, despite the high performance of deep neural networks in understanding natural images and videos, there are still debates on the applicability of deep neural networks in information visualization. Third, well-formulated design spaces for specific visualization suitable for vectorized representation of deep learning are yet to be investigated. Finally, many tasks of visual analytics are inherently interactive and progressive, integrating user interaction into learning process is also a challenge.
For this special issue, we are looking for submissions that describe algorithms, data representations, tools and systems for visualization tasks based on AI techniques. We also welcome evaluations providing inspiring guidelines on the use of AI techniques in visualization and surveys providing comprehensive discussions on current development of "AI for VIS." More specifically, we are looking for contributions that demonstrate practical impact of AI on (but not limited to) the following topics:
Data synthesis for training of specific visualization tasks
• Data-driven quality metrics for visualization
• Data-driven design of visualization
• Deep learning model for visualization contents
• Interactive AI techniques for visual analytics
• Predictive visual analytics
To promote international cooperation, we encourage submissions that are co-authored by domestic and international researchers. We also highly recommend the submission of multimedia to accompany each article as it may significantly increase the visibility, downloads and citations.
All submitted manuscripts must be written in English and must not be under consideration elsewhere for publication. The authors must follow the FITEE guidelines (http://www.jzus.zju.edu.cn/manuscript.php) for preparation of their manuscripts. Either Word or LaTeX format is acceptable. When Word is used, please keep the layout of the text as simple as possible, e.g., single column, 1.5 lines spacing, 10.5 pt font size, and Times New Roman font. When LaTeX is used, a template is available at http://www.jzus.zju.edu.cn/download/FITEE_LaTex_template.zip
Templates for accepted papers:
Word: http://www.jzus.zju.edu.cn/download/FITEE_sample.doc
LaTeX: http://www.jzus.zju.edu.cn/download/FITEE_LaTex_template.zip
(At the initial submission stage, authors do not need to use these templates. Only when asked to revise manuscripts after peer reviews, these templates should be used.)
FITEE is an international peer-reviewed journal launched by the Chinese Academy of Engineering (CAE) and Zhejiang University, and co-published by Springer & Zhejiang University Press. FITEE aims to publish the latest implementation of applications, principles, and algorithms in the broad area of Electrical and Electronic Engineering.
All articles published in this special issue will be indexed by SCI-E and will be available from http://www.springer.com/computer/journal/11714. Please note that all articles will undergo international peer review and Crosscheck processes before acceptance, to ensure that the special issue is of high quality, original, and thought-provoking.
We look forward to your contribution to this special issue. Please send your manuscript via http://www.editorialmanager.com/zusc/. Remember to choose article type “S.I.-AI4VIS”.
Manuscript submission by
July 31, 2019
Acceptance notification by
Nov. 15, 2019
Publication date:
Jan. 31, 2020
Editorial Board:
Editor-in-Chief:
Prof. Yunhe Pan Academician of CAE, Zhejiang University, China
Executive Lead Editor:
Prof. Wei Chen CAD & CG State Key Lab, Zhejiang University, China
Editors (in alphabetical order by last name):
Dr. Steffen Koch University of Stuttgart, Germany
Prof. Tobias Schreck Graze University of Technology, Austria
Prof. Han-Wei Shen The Ohio State University, USA
Assoc. Prof. Jiazhi Xia Central South University, China
Dr. Cong Xie Facebook, USA
Prof. Ye Zhao Kent State University, USA
For inquiries regarding this special issue, please contact:
Jiazhi Xia
Central South University, China
E-mail: xiajiazhi@csu.edu.cn
Editorial Office:
Ziyang Zhai (Managing Editor)
jzus_zzy@zju.edu.cn
86-571-88273162

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    Frontiers of Information Technology & Electronic Engineering (Formerly Journal of Zhejiang University-SCIENCE C) is indexed by SCI from 2010.

     Frontiers of Information Technology & Electronic Engineering (Formerly Journal of Zhejiang University-SCIENCE C), which emerged from JZUS-A, covers researches in computer science & engineering, electrics, electronics, information sciences, automation, control, communication as well as applied mathematics related to the computer area. The journal aims to present the latest developments and achievements in scientific research articles, reviews, science letters, new technical notes and methods, etc.

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