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 (AI) 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 2022, 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 paper presentations and invited talks.
Accepted 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).
Papers are to be submitted using PCS (Track Name: PacificVis 2022 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.
- Paper due: December 23, 2021 January 3, 2022
- 1st cycle notification: January 28, 2022
- Revision due: February 18, 2022
- 2nd cycle notification: March 4, 2022
- Camera ready paper due: March 11, 2022
- Workshop: April 11, 2022
All deadlines are due at 11:59pm Pacific Time (PDT/PST).
We encourage submissions of high quality research and application papers incorporating visualization and AI/machine lerning. Our interest includes both topics of AI4VIS and VIS4AI.
Example papers:
Takanori Fujiwara, Linköping University
Junpeng Wang, Visa Research
Dylan Cashman, Novartis
Minsuk Chang, Naver AI Lab
Jaegul Choo, KAIST
Steffen Frey, University of Groningen
Liang Gou, Bosch Research
Fred Hohman, Apple
Bum Chul Kwon, IBM Research
Mengchen Liu, Microsoft Research
Yuxin Ma, Southern University of Science and Technology
Chaoli Wang, University of Notre Dame
Qianwen Wang, Harvard University
Yang Wang, Facebook
John Wenskovitch, Pacific Northwest National Laboratory
Panpan Xu, Amazon AWS AI
pvis_ai4vis@pvis.org