Hyeon Jeon | HCI LAB :: Seoul National University

Hyeon Jeon

000e3ed3bde1133c2735df52f2276f02cb48b349

Ph.D. Candidate

Large-scale · High-dimensional Data Analysis, Clustering · 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 Matchine 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

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

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 Conference on Visualization and Visual Analytics (VIS)
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)