Sungbok Shin

According to our database, Sungbok Shin authored at least 23 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Dataset-Adaptive Dimensionality Reduction.

Hyeon Jeon, Jeongin Park, Soohyun Lee, Dae Hyun Kim, Sungbok Shin, Jinwook Seo

IEEE Trans. Vis. Comput. Graph., January, 2026

Enriching Semantic Profiles into Knowledge Graph for Recommender Systems Using Large Language Models.

Seokho Ahn, Sungbok Shin, Young-Duk Seo

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

Drillboards: Adaptive Visualization Dashboards for Dynamic Personalization of Visualization Experiences.

Sungbok Shin, Inyoup Na, Niklas Elmqvist

IEEE Trans. Vis. Comput. Graph., October, 2025

Visualizationary: Automating Design Feedback for Visualization Designers Using Large Language Models.

Sungbok Shin, Sanghyun Hong, Niklas Elmqvist

IEEE Trans. Vis. Comput. Graph., October, 2025

Changing the Paradigm from Dynamic Queries to LLM-generated SQL Queries with Human Intervention.

Ambre Assor, Hyeon Jeon, Sungbok Shin, Jean-Daniel Fekete

CoRR, September, 2025

Understanding Bias in Perceiving Dimensionality Reduction Projections.

Seoyoung Doh, Hyeon Jeon, Sungbok Shin, Ghulam Jilani Quadri, Nam Wook Kim, Jinwook Seo

CoRR, July, 2025

Stop Misusing t-SNE and UMAP for Visual Analytics.

Hyeon Jeon, Jeongin Park, Sungbok Shin, Jinwook Seo

CoRR, June, 2025

Reading.help: Supporting EFL Readers with Proactive and On-Demand Explanation of English Grammar and Semantics.

Sunghyo Chung, Hyeon Jeon, Sungbok Shin, Md. Naimul Hoque

CoRR, May, 2025

Beyond the Mirror: Personal Analytics through Visual Juxtaposition with Other People's Data.

Sungbok Shin, Sunghyo Chung, Hyeon Jeon, Hyunwook Lee, Minje Choi, Taehun Kim, Jaehoon Choi, Sungahn Ko, Jaegul Choo

CoRR, May, 2025

Data Therapist: Eliciting Domain Knowledge from Subject Matter Experts Using Large Language Models.

Sungbok Shin, Hyeon Jeon, Sanghyun Hong, Niklas Elmqvist

CoRR, May, 2025

Conversation Progress Guide : UI System for Enhancing Self-Efficacy in Conversational AI.

Daeun Jeong, Sungbok Shin, Jongwook Jeong

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

Real-Time Calibration Model for Low-Cost Sensor in Fine-Grained Time Series.

Seokho Ahn, Hyungjin Kim, Sungbok Shin, Young-Duk Seo

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

The Reality of the Situation: A Survey of Situated Analytics.

Sungbok Shin, Andrea Batch, Peter W. S. Butcher, Panagiotis D. Ritsos, Niklas Elmqvist

IEEE Trans. Vis. Comput. Graph., August, 2024

Simulation, Representation, and Automation: Human-Centered Artificial Intelligence for Augmenting Visualization Design.

Sungbok Shin

PhD thesis, 2024

Visualizationary: Automating Design Feedback for Visualization Designers using LLMs.

Sungbok Shin, Sanghyun Hong, Niklas Elmqvist

CoRR, 2024

Harder, Better, Faster, Stronger: Interactive Visualization for Human-Centered AI Tools.

Md. Naimul Hoque, Sungbok Shin, Niklas Elmqvist

CoRR, 2024

2023

Evaluating View Management for Situated Visualization in Web-based Handheld AR.

Andrea Batch, Sungbok Shin, J. Liu, Peter W. S. Butcher, Panagiotis D. Ritsos, Niklas Elmqvist

Comput. Graph. Forum, June, 2023

A Scanner Deeply: Predicting Gaze Heatmaps on Visualizations Using Crowdsourced Eye Movement Data.

Sungbok Shin, Sunghyo Chung, Sanghyun Hong, Niklas Elmqvist

IEEE Trans. Vis. Comput. Graph., 2023

Perceptual Pat: A Virtual Human System for Iterative Visualization Design.

Sungbok Shin, Sanghyun Hong, Niklas Elmqvist

CoRR, 2023

Perceptual Pat: A Virtual Human Visual System for Iterative Visualization Design.

Sungbok Shin, Sanghyun Hong, Niklas Elmqvist

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2021

VATUN: Visual Analytics for Testing and Understanding Convolutional Neural Networks.

Cheonbok Park, Soyoung Yang, Inyoup Na, Sunghyo Chung, Sungbok Shin, Bum Chul Kwon, Deokgun Park, Jaegul Choo

Proceedings of the 21st Eurographics Conference on Visualization, 2021

2019

SANVis: Visual Analytics for Understanding Self-Attention Networks.

Cheonbok Park, Jaegul Choo, Inyoup Na, Yongjang Jo, Sungbok Shin, Jaehyo Yoo, Bum Chul Kwon, Jian Zhao, Hyungjong Noh, Yeonsoo Lee

Proceedings of the 30th IEEE Visualization Conference, 2019

2018

Localized user-driven topic discovery via boosted ensemble of nonnegative matrix factorization.

Sangho Suh, Sungbok Shin, Joonseok Lee, Chandan K. Reddy, Jaegul Choo

Knowl. Inf. Syst., 2018