Visualization

1. 

   VISxAI

   Workshop

   LIME & SHAP Explained: From Computation to Interpretation

   Aeri Cho, Jeongmin Rhee, Seokhyeon Park, and Jinwook Seo

   Workshop on Visualization for AI Explainability (VISxAI) (at IEEE VIS), Oct 2025

   Website
2. 

   IEEE TVCG

   Journal

   Towards More Explainable Nonlinear Dimensionality Reduction: A Feature-Driven Interaction Approach

   Aeri Cho, Hyeon Jeon, Kiroong Choe, Seokhyeon Park, and Jinwook Seo

   IEEE Transactions on Visualization and Computer Graphics, Oct 2025

   Abs

   Nonlinear dimensionality reduction (NDR) techniques are widely used to visualize high-dimensional data. However, they often lack explainability, making it challenging for analysts to relate patterns in projections to original high-dimensional features. Existing interactive methods typically separate user interactions from the feature space, treating them primarily as post-hoc explanations rather than integrating them into the exploration process. This separation limits insight generation by restricting users’ understanding of how features dynamically influence projections. To address this limitation, we propose a bidirectional interaction method that directly bridges the feature space and the projections. By allowing users to adjust feature weights, our approach enables intuitive exploration of how different features shape the embedding. We also define visual semantics to quantify projection changes, enabling structured pattern discovery through automated query-based interaction. To ensure responsiveness despite the computational complexity of NDR, we employ a neural network to approximate the projection process, enhancing scalability while maintaining accuracy. We evaluated our approach through quantitative analysis, assessing accuracy and scalability. A user study with a comprehensive visual interface and case studies demonstrated its effectiveness in supporting hypothesis generation and exploratory tasks with real-world data. The results confirmed that our approach supports diverse analytical scenarios and enhances users’ ability to explore and interpret high-dimensional data through interactive exploration grounded in the feature space.

3. IEEE PacificVisConference

   Automated Pipeline for Detecting and Analyzing Misleading Visual Elements

   Min Hyeong Kim, Yumin Song, Yungun Kim, Aeri Cho, Soohyun Lee, Hyeon Jeon, and Jinwook Seo

   2025 IEEE 18th Pacific Visualization Conference (PacificVis), Jun 2025

   Abs

   Data visualizations can sometimes misrepresent the underlying data, leading to misleading interpretations. However, existing systems fail to precisely identify which parts of a visualization contribute to misleading interpretations, leaving users uncertain about the misalignments. To address this issue, we develop a pipeline that automatically identifies the misleading parts within a visualization. Given an image file, our pipeline first detects graphical components of the visualization, converting them into structured objects. We then apply an algorithm to pinpoint misleading objects and explain how they contribute to distortions in interpretation. Our user study confirms that our pipeline accurately identifies misleading visualization designs, outperforming previous baselines. We also find that our pipeline supports participants in developing revision strategies to improve misleading visualizations.

4. IEEE TPAMIJournal

   Measuring the Validity of Clustering Validation Datasets

   Hyeon Jeon, Michaël Aupetit, DongHwa Shin, Aeri Cho, Seokhyeon Park, and Jinwook Seo

   IEEE Transactions on Pattern Analysis and Machine Intelligence, Jun 2025

   Code Website
5. IEEE TVCGJournal

   Enhancing Data Literacy On-demand: LLMs as Guides for Novices in Chart Interpretation

   Kiroong Choe, Chaerin Lee, Soohyun Lee, Jiwon Song, Aeri Cho, Nam Wook Kim, and Jinwook Seo

   IEEE Transactions on Visualization and Computer Graphics, Jun 2024
6. IEEE VISConference

   Zadu: A python library for evaluating the reliability of dimensionality reduction embeddings

   Hyeon Jeon, Aeri Cho, Jinhwa Jang, Soohyun Lee, Jake Hyun, Hyung-Kwon Ko, Jaemin Jo, and Jinwook Seo

   2023 IEEE Visualization and Visual Analytics (VIS), Jun 2023

   PDF Code

Others

1. HealthJournal

   Pregnancy outcomes of cerclage in twin gestations: a multicenter retrospective cohort study

   Jee Yoon Park, Kyong-No Lee, Hyeon Ji Kim, Kiroong Choe, Aeri Cho, Bohyoung Kim, Jinwook Seo, Hayan Kwon, Jong Woon Kim, Jin-Gon Bae, Ji-Hee Sung, Se Jin Lee, Young Mi Jung, You Jung Han, Subeen Hong, Jin-Hoon Chung, Hye-Sung Won, and Jong Kwan Jun and

   The Journal of Maternal-Fetal & Neonatal Medicine, 2024
2. HealthJournal

   Association between cesarean section rate and maternal age in twin pregnancies

   Seongbeen Kim, Eunjin Song, Ye Hyon Park, Aeri Cho, Kiroong Choe, Hyeon Ji Kim, Jee Yoon Park, Bohyoung Kim, and Kyung Joon Oh

   Journal of Perinatal Medicine, 2022
3. HealthJournal

   Effects of Fetal Images Produced in Virtual Reality on Maternal-Fetal Attachment: Randomized Controlled Trial

   Kyong-No Lee, Hyeon Ji Kim, Kiroong Choe, Aeri Cho, Bohyoung Kim, Jinwook Seo, Woojae Myung, Jee Yoon Park, Kyung Joon Oh, and  others

   Journal of Medical Internet Research, 2023