ViDA
Visual Data Analysis Laboratory
News:
We received one grant (1/3) (2024/08~2025/07) from NSTC (2024/07)
We will host IEEE Pacific Visualization Conference 2025 (PacificVis) at NTNU on April 22-25, 2025. [PacificVis2025 Website] (2024/06)
Our laboratory is looking for 1 0 more new talented student. [more] (2024/03)
One paper, "SG-RAD: A Visual Analytics System in Subgroup and Risk Factors Analysis and Discovery", has been accepted by Visualization Notes track of the IEEE PacificVis 2025. (2024/02)
Our laboratory is looking for 1 more new talented student. [more] (2023/08)
[Congratulation!] - 劉力文、楊博丞、楊千艎、江家浩、張榕宸 passed Master thesis defense (2023/07)
One paper, "Distribution-based Time-varying Ensemble Scientific Data Reduction for Uncertainty Visualization and Analysis", has been accepted by the Journal of Information Science and Engineering. (2023/07)
張珮甄 presented "Visual Interpretation for Contextualized Word Representation" (from 鄧旭廷's master's thesis work) in VisMeetAI Workshop (PacificVis2023), and the paper will be published in Visual Informatics journal [Photo] (2023/04)
One paper, "Interactive Occlusion-Free System for Accessible Volume Exploration", has been accepted by IEEE ACCESS. (2023/04)
Visual Data Analysis (ViDA) Laboratory is a research group at Department of Computer Science and Information Engineering, National Taiwan Normal University (NTNU) and led by Ko-Chih Wang (王科植). The main research directions of ViDA are large-scale data analysis & visualization, high-performance computing, computer graphics, and machine learning. We conducts cutting-edge research in data visualization for scientific and information data analysis. Visualization research is at an intersection of data analysis, computer graphics and large-scale data handling, and has been playing increasingly important role in many applications. Our research has two main branches. One is scientific data visualization and the other one is information data visualization. Scientific data visualization focuses on visualizing data from scientific simulation and solving the large-scale data problem in computational science. Information data visualization builds visual tools to facilitate applications such as social network, machine learning, questionnaire, transaction, and traffic data analysis. For more details of ViDA's research, please check the Research page.