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PacificVis 2021 : IEEE Pacific Visualization Symposium

Tianjin, China
Event Date: Apr 19, 2021 - Apr 22, 2021
Abstract Submission Deadline: Sep 25, 2020
Submission Deadline: Oct 02, 2020
Notification of Acceptance: Nov 13, 2020
Camera Ready Version Due : Jan 21, 2021


The 14th IEEE Pacific Visualization Symposium (PacificVis 2021) will be held in Tianjin, China during April 19 to 22(tentative), 2021. As part of PacificVis, workshop/tutorial sessions will be held on April 19, with the Symposium starting from April 20.

Visualization has become an increasingly important research area due to its wide range of applications in many disciplines. PacificVis is an IEEE sponsored international visualization symposium held in the Asia-Pacific region, with the objective to foster greater exchange between visualization researchers and practitioners, and to draw more researchers in the Asia-Pacific region to enter this rapidly growing area of research.

Call For Paper

Suggested topics include, but are not limited to:

Visualization Application Areas:

  • Statistical Graphics and Mathematics
  • Financial, Security and Business Visualization
  • Physical Sciences and Engineering
  • Earth, Space, and Environmental Sciences
  • Geographic, Geospatial, and Terrain Visualization
  • Molecular, Biomedical, Bioinformatics, and Medical Visualization
  • Text, Document, and Software Visualization
  • Social and Information Sciences
  • Education and Everyday Visualization
  • Multimedia (Image/Video/Music) Visualization

Data-focused Visualization Research:

  • High-dimensional Data, Dimensionality Reduction, and Data Compression
  • Multi-field, Multi-modal, Multi-resolution, and Multi-variate Data
  • Causality and Uncertainty Data
  • Time Series, Time Varying, Streaming, and Flow Data
  • Scalar, Vector, and Tensor Fields
  • Regular and Unstructured Grids
  • Point-based Data
  • Large-scale Data (Petabytes, ...)

Technique-focused Visualization Research:

  • Volume Modeling and Rendering
  • Extraction of Surfaces
  • Topology-based and Geometry-based Techniques
  • Glyph-based Techniques
  • Integrating Spatial and Non-spatial Data Visualization
  • Machine Learning Approaches

Graph and Network Visualization Research:

  • Design and Experimentation of Graph Drawing Algorithms
  • Techniques, Interfaces, and Interaction Methods for Graphs, Trees, and Other Relational Data
  • Visualization of Graphs and Networks in Application Areas
  • Interfaces and Interaction Techniques for Graph and Network Visualizations
  • Benchmarks and Experimental Analysis for Graph Visualization Systems

Interaction-focused Visualization Research:

  • Icon- and Glyph-based Visualization
  • Focus + Context Techniques
  • Animation
  • Zooming and Navigation
  • Brushing + Linking
  • Coordinated Multiple Views
  • View-dependent Visualization
  • Data Labeling, Editing, and Annotation
  • Collaborative, Co-located, and Distributed Visualization
  • Manipulation and Deformation
  • Visual Data Mining and Visual Knowledge Discovery

Empirical and Comprehension-focused Visualization Research:

  • Visual Design and Aesthetics
  • Illustrative Visualization
  • Cognition and Perception Issues
  • User Studies on Visualization Readability and User Interaction
  • Presentation, Dissemination, and Storytelling
  • Design Studies, Case Studies, and Focus Groups
  • Task and Requirements Analysis
  • Metrics and Benchmarks
  • Evaluations of All Types: Qualitative, Quantitative, Laboratory, Field, and Usability Studies
  • Use of Eye Tracking and Other Biometric Measures

System-focused Visualization Research:

  • Novel Algorithms and Mathematics
  • Taxonomies and Models
  • Methodologies, Discussions, and Frameworks
  • Visual Design, Visualization System, and Toolkit Design
  • Data Warehousing, Database Visualization, and Data Mining
  • Collaborative and Distributed Visualization

Hardware, Display, and Interaction Technology:

  • Large and High-resolution Displays
  • Stereo Displays
  • Mobile and Ubiquitous Environments
  • Immersive and Virtual Environments
  • Multimodal Input (Touch, Haptics, Voice, etc.)
  • Hardware Acceleration
  • GPUs and Multi-core Architectures
  • CPU and GPU Clusters
  • Distributed Systems, Grid, and Cloud Environments
  • Volume Graphics Hardware

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