Hyeon Jeon | HCI LAB :: Seoul National University

Hyeon Jeon

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Ph.D. Candidate

High-dimensional Data Analysis, Visual Perception, Cluster Analysis

Aug. 2022 ~ Current	Ph.D. Student in Dept. of Computer Science and Engineering, Seoul National University
Aug. 2020 ~ Aug. 2022	M.S. Student in Dept. of Computer Science and Engineering, Seoul National University
Mar. 2016 ~ Aug. 2020	Bachelor of Science in Computer Science and Engineering, POSTECH

My research spans the field of Data Visualization and Machine learning. Currently, I'm interested in cluster analysis of large-scale / high-dimensional data.
Please visit my website for detailed information – and feel free to contact me!! (hj@hcil.snu.ac.kr)

Related Projects

Natural Language Dataset Generation Framework for Visualizations Powered by Large Language Models

a Large Language Model (LLM) framework that generates rich and diverse NL datasets using only Vega-Lite specifications as input
CLAMS

A Cluster Ambiguity Measure for Estimating Perceptual Variability in Visual Clustering
Classes are not Clusters

Improving Label-based Evaluation of Dimensionality Reduction
ZADU

A Python Library for Evaluating the Reliability of Dimensionality Reduction Embeddings
Large-scale Text-to-Image Generation Models for Visual Artists' Creative Works

A qualitative study to understand the use of large-scale text-to-image models for visual artists' creative works
UMATO

Uniform Manifold Approximation with Two-phase Optimization
Steadiness & Cohesiveness

Quality Metrics for Evaluating the Inter-cluster Reliability of Multidimensional Projections
Githru

Visual Analytics for Understanding Software Development History Through Git Metadata Analysis

Related Publications

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 (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
Clochat: Understanding How People Customize, Interact, and Experience Personas in Large Language Models [PDF] paper, CHI conference on Human Factors in Computing Systems
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