Visualization Meets AI 2021


Goals

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.

Call for Participation

Submission

Full Paper

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).

Short Paper

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.


Important Dates

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


People

Workshop Chair

Takanori Fujiwara, University of California at Davis

Junpeng Wang, Visa Research


Program Committee

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


Steering Committee

Kwan-Liu Ma, University of California at Davis

Han-Wei Shen, The Ohio State University


CONTACT

pvis_ai4vis@pvis.org