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20242026
most citedUnveiling High-dimensional Backstage: A Survey for Reliable Visual Analytics with Dimensionality Reduction

16 citations · 19 across the 8 of their papers we have counts for

collaborators

10 papers

cs.HC2026

Penquiry: A Pen-based Interactive In-situ Q&A System Leveraging LLMs

Jeongmin Rhee, Changhee Lee, Hyunwoo Kim +4

Pen-based digital devices remain a preferred medium for active, cognitively engaging study. Concurrently, Large Language Models (LLMs) have become indispensable for self-directed l…

cs.HC2026

Treadstone: A Social-Media-Inspired Platform for Multi-Agent Collaborative Data Analysis

Hyunwook Lee, Sungbeom Cho, William Benjamin +6

Coordinating human analysts with autonomous AI agents faces the same challenges as human-to-human collaboration: sharing intermediate results, avoiding conflicts, and maintaining g…

cs.CL2025

VEHME: A Vision-Language Model For Evaluating Handwritten Mathematics Expressions

Thu Phuong Nguyen, Duc M. Nguyen, Hyotaek Jeon +4

Automatically assessing handwritten mathematical solutions is an important problem in educational technology with practical applications, but it remains a significant challenge due…

cs.LG2025

From Patterns to Predictions: A Shapelet-Based Framework for Directional Forecasting in Noisy Financial Markets

Juwon Kim, Hyunwook Lee, Hyotaek Jeon +2

Directional forecasting in financial markets requires both accuracy and interpretability. Before the advent of deep learning, interpretable approaches based on human-defined patter…

cs.LG2025

ST-LINK: Spatially-Aware Large Language Models for Spatio-Temporal Forecasting

Hyotaek Jeon, Hyunwook Lee, Juwon Kim +1

Traffic forecasting represents a crucial problem within intelligent transportation systems. In recent research, Large Language Models (LLMs) have emerged as a promising method, but…

cs.HC2025

Navigating High-Dimensional Backstage: A Guide for Exploring Literature for the Reliable Use of Dimensionality Reduction

Hyeon Jeon, Hyunwook Lee, Yun-Hsin Kuo +6

Visual analytics using dimensionality reduction (DR) can easily be unreliable for various reasons, e.g., inherent distortions in representing the original data. The literature has…

cs.HC2025

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

Sungbok Shin, Sunghyo Chung, Hyeon Jeon +6

An individual's data can reveal facets of behavior and identity, but its interpretation is context dependent. We can easily identify various self-tracking applications that help pe…

cs.HC2025★ 16 cited

Unveiling High-dimensional Backstage: A Survey for Reliable Visual Analytics with Dimensionality Reduction

Hyeon Jeon, Hyunwook Lee, Yun-Hsin Kuo +6

Dimensionality reduction (DR) techniques are essential for visually analyzing high-dimensional data. However, visual analytics using DR often face unreliability, stemming from fact…

cs.HC2024

DG Comics: Semi-Automatically Authoring Graph Comics for Dynamic Graphs

Joohee Kim, Hyunwook Lee, Duc M. Nguyen +4

Comics are an effective method for sequential data-driven storytelling, especially for dynamic graphs -- graphs whose vertices and edges change over time. However, manually creatin…

cs.LG2024★ 3 cited

TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts

Hyunwook Lee, Sungahn Ko

Accurate traffic forecasting is challenging due to the complex dependency on road networks, various types of roads, and the abrupt speed change due to the events. Recent works main…