Hyeon Jeon
Hyeon’s research lies at the intersection of data visualization and machine learning. His primary goal is to make visual analytics more reliable. To this end, he develops machine learning algorithms, quality metrics, and interaction techniques for visual analytic
Please visit his personal website for detailed information.)
Related Projects
Related Publications
- PhenoFlow: A Human-LLM Driven Visual Analytics System for Exploring Large and Complex Stroke Datasets [PDF] paper, IEEE Transactions on Visualization and Computer Graphics (TVCG) (Proc. IEEE VIS 2024)
- IoLens: Visual Analytics System for Exploring Storage I/O Tracking Process [PDF] paper, the 17th IEEE Pacific Visualization Conference (PacificVis '24)
- CLeVer: Continual Learning Visualizer for Detecting Task Transition Failure [PDF] paper, the 17th IEEE Pacific Visualization Conference
- Combinational Nonuniform Timeslicing of Dynamic Networks [PDF] poster, the 17th IEEE Pacific Visualization Conference (PacificVis '24)
- MoNetExplorer: A Visual Analytics System for Analyzing Dynamic Networks with Temporal Network Motifs [PDF] article, IEEE Transactions on Visualization and Computer Graphics (TVCG)
- Natural Language Dataset Generation Framework for Visualizations Powered by Large Language Models [PDF] paper, CHI conference on Human Factors in Computing Systems (CHI 24)
- Clochat: Understanding How People Customize, Interact, and Experience Personas in Large Language Models [PDF] paper, CHI conference on Human Factors in Computing Systems (CHI 24)
- ZADU: A Python Library for Evaluating the Reliability of Dimensionality Reduction Embeddings [PDF] paper, 2023 IEEE Visualization and Visual Analytics (VIS), Melbourne, Austrailia
- Classes are not Clusters: Improving Label-based Evaluation of Dimensionality Reduction [PDF] paper, IEEE Transactions on Visualization and Computer Graphics (TVCG) (Proc. IEEE VIS 2023)
- CLAMS: A Cluster Ambiguity Measure for Estimating Perceptual Variability in Visual Clustering [PDF] paper, IEEE Transactions on Visualization and Computer Graphics (TVCG) (Proc. IEEE VIS 2023)
- Large-scale Text-to-Image Generation Models for Visual Artists' Creative Works [PDF] paper, Proceedings of the 28th International Conference on Intelligent User Interface (IUI '23)
- Uniform Manifold Approximation with Two-phase Optimization [PDF] paper, 2022 IEEE Visualization and Visual Analytics (VIS), Oklahoma City, OK, USA
- VANT: A Visual Analytics System for Refining Parallel Corpora in Neural Machine Translation [PDF] paper, the 15th IEEE Pacific Visualization Symposium (PacificVis '22)
- Measuring and Explaining the Inter-Cluster Reliability of Multidimensional Projections [PDF] article, IEEE Transactions on Visualization and Computer Graphics (TVCG) (Proc. IEEE VIS 2021)
- Visualization Support for Multi-criteria Decision Making in Software Issue Propagation [PDF] paper, 14th IEEE Pacific Visualization Symposium (PacificVis '21)
- Interactive Visualization for Exploring Information Fragments in Software Repositories [PDF] poster, 14th IEEE Pacific Visualization Symposium (PacificVis '21)
- Githru: Visual Analytics for Understanding Software Development History Through Git Metadata Analysis [PDF] article, IEEE Transactions on Visualization and Computer Graphics (TVCG) (Proc. IEEE VIS 2020)
- 범죄 수사를 위한 상호작용이 가능한 다중 뷰 시각적 분석 시스템 [PDF] article, Journal of KIISE