The task of data visualization generally involves a design step, which requires the knowledge of the data domain and visualization methods to do well. Because of the immense design space for optimization, it can take both novices and experts substantial effort to derive desired visualization results from data for exploration or communication. Following the resurgence of artificial intelligence technology in recent years, in the field of visualization, there is a growing interest and opportunity in applying AI to perform data transformation and to assist the generation of visualization, aiming to strike a balance between cost and quality. The use of visualization to enhance AI is the other active line of research. This workshop, held in conjunction with IEEE PacificVis 2021, aims at exploring this emerging area of research and practice by fostering communication between visualization researchers and practitioners. Attendees will be introduced to the latest and greatest research innovations in AI-enhanced visualization (AI4VIS) as well as visualization-enhanced AI (VIS4AI), and also learn about further research opportunities. The workshop will be composed of full papers, short papers, and invited talks.
Accepted full papers will appear in a special issue of the Journal of Visual Informatics with open access. There is no page limit, but authors are encouraged to submit a paper whose length matches its contribution, and the manuscript should be prepared according to the guide for authors given at Elsevier (Latex template).
Accepted short papers will appear in the IEEE Digital Library. We recommend the authors to follow the VGTC formatting guidelines. There is no strict page limit, but short papers are usually less than five (5) pages.
Both full papers and short papers are to be submitted using PCS (Track Name: PacificVis 2021 Visualization Meets AI Workshop). We will accept both single-blind (not anonymized) as well as double-blind (anonymized) submissions. In the case of double-blind submissions, please substitute the author names with the paper ID number.
Full/Short paper due : February 1, 2021 (11:59pm PST)
Notification: March 8, 2021
Camera ready paper due: March 22, 2021 (11:59pm PST)
Workshop: April 19, 2021
Takanori Fujiwara, University of California at Davis
Junpeng Wang, Visa Research
Matthew Berger, Vanderbilt University
Minsuk Chang, Naver AI Lab
Jaegul Choo, KAIST
Steffen Frey, University of Groningen
Minsuk Kahng, Oregon State University
Mengchen Liu, Microsoft Research
Yuxin Ma, Arizona State University
Chaoli Wang, University of Notre Dame
Yang Wang, Facebook
Yu-Shuen Wang, National Chiao Tung University
Panpan Xu, Bosch Research
Jian Zhao, University of Waterloo
Kwan-Liu Ma, University of California at Davis
Han-Wei Shen, The Ohio State University