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 2023, 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 2023 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 30, 2022 January 6, 2023
- 1st cycle notification: January 27, 2023 February 3, 2023
- Revision due: February 17, 2023 February 24, 2023
- 2nd cycle notification: March 3, 2023
- Camera ready paper due: March 17, 2023
- Workshop: April 18, 2023
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, Google AI
Jaegul Choo, KAIST
Steffen Frey, University of Groningen
Liang Gou, Bosch Research
Hanqi Guo, the Ohio State University
Jun Han, the Chinese University of Hong Kong
Oh-Hyun Kwon, Apple
Mengchen Liu, Microsoft Research
Rafael M. Martins, Linnaeus University
Huan Song, Amazon AWS AI
Qianwen Wang, Harvard University
Yang Wang, Meta
Yong Wang, Singapore Management University
John Wenskovitch, Pacific Northwest National Laboratory
Yanhong Wu, Meta
pvis_ai4vis@pvis.org