NLE-FFS: a flash file system with PRAM for non-linear editing. - Man-Keun Seo; Sungahn Ko; Youngwoo Park; Kyu Ho Park (IEEE Trans. Consumer Electron., 2009)

WordBridge: Using Composite Tag Clouds in Node-Link Diagrams for Visualizing Content and Relations in Text Corpora. - KyungTae Kim; Sungahn Ko; Niklas Elmqvist; David S. Ebert (HICSS, 2011)

Applying mobile device soft keyboards to collaborative multitouch tabletop displays: design and evaluation. - Sungahn Ko; KyungTae Kim; Tejas D. Kulkarni; Niklas Elmqvist (ITS, 2011)

SemanticPrism: A multi-aspect view of large high-dimensional data: VAST 2012 Mini Challenge 1 award: Outstanding integrated analysis and visualization. - Yingjie Victor Chen; Ahmad M. Razip; Sungahn Ko; Zhenyu Cheryl Qian; David S. Ebert (IEEE VAST, 2012)

MarketAnalyzer: An Interactive Visual Analytics System for Analyzing Competitive Advantage Using Point of Sale Data. - Sungahn Ko; Ross Maciejewski; Yun Jang; David S. Ebert (Comput. Graph. Forum, 2012)

Automated Box-Cox Transformations for Improved Visual Encoding. - Ross Maciejewski; Avin Pattath; Sungahn Ko; Ryan Hafen; William S. Cleveland; David S. Ebert (IEEE Trans. Vis. Comput. Graph., 2013)

Analyzing high-dimensional multivaríate network links with integrated anomaly detection, highlighting and exploration. - Sungahn Ko; Shehzad Afzal; Simon J. Walton; Yang Yang; Junghoon Chae; Abish Malik; Yun Jang; Min Chen 001; David S. Ebert (IEEE VAST, 2014)

VASA: Interactive Computational Steering of Large Asynchronous Simulation Pipelines for Societal Infrastructure. - Sungahn Ko; Jieqiong Zhao; Jing Xia; Shehzad Afzal; Xiaoyu Wang 001; Greg Abram; Niklas Elmqvist; Len Kne; David Van Riper; Kelly P. Gaither; Shaun Kennedy; William J. Tolone; et al. (IEEE Trans. Vis. Comput. Graph., 2014)

Aided decision-making through visual analytics systems for large multivariate, spatiotemporal, hierarchical and network data - Sungahn Ko (2014)

Visual analytics of heterogeneous data for criminal event analysis VAST challenge 2015: Grand challenge. - Junghoon Chae; Guizhen Wang; Benjamin Ahlbrand; Mahesh Babu Gorantla; Jiawei Zhang 003; Siqaio Chen; Hanye Xu; Jieqiong Zhao; William Hatton; Abish Malik; Sungahn Ko; David S. Ebert (VAST, 2015)

Visual analytics for detecting communication patterns. - William Hatton; Jieqiong Zhao; Mahesh Babu Gorantla; Junghoon Chae; Benjamin Ahlbrand; Hanye Xu; Siqaio Chen; Guizhen Wang; Jiawei Zhang 003; Abish Malik; Sungahn Ko; David S. Ebert (VAST, 2015)

ParkAnalyzer: Characterizing the movement patterns of visitors VAST 2015 Mini-Challenge 1. - Jieqiong Zhao; Guizhen Wang; Junghoon Chae; Hanye Xu; Siqaio Chen; William Hatton; Sherry Towers; Mahesh Babu Gorantla; Benjamin Ahlbrand; Jiawei Zhang 003; Abish Malik; Sungahn Ko; et al. (VAST, 2015)

Multi-aspect visual analytics on large-scale high-dimensional cyber security data. - Victor Y. Chen; Ahmad M. Razip; Sungahn Ko; Cheryl Z. Qian; David S. Ebert (Inf. Vis., 2015)

A Survey on Visual Analysis Approaches for Financial Data. - Sungahn Ko; Isaac Cho; Shehzad Afzal; Calvin Yau; Junghoon Chae; Abish Malik; Kaethe Beck; Yun Jang; William Ribarsky; David S. Ebert (Comput. Graph. Forum, 2016)

A Visual Analytics Framework for Microblog Data Analysis at Multiple Scales of Aggregation. - Jiawei Zhang 003; Benjamin Ahlbrand; Abish Malik; Junghoon Chae; Zhiyu Min; Sungahn Ko; David S. Ebert (Comput. Graph. Forum, 2016)

System Architecture for Progressive Augmented Reality. - Yunha Han; Chunggi Lee; Sanghoon Kim; Sungahn Ko (MobiSys, 2019)

Modeling Exploration/Exploitation Decisions through Mobile Sensing for Understanding Mechanisms of Addiction. - Kihwan Kim; Sanghoon Kim; Chunggi Lee; Sungahn Ko (MobiSys, 2019)

Thumbnails for Data Stories: A Survey of Current Practices. - Hwiyeon Kim; Juyoung Oh; Yunha Han; Sungahn Ko; Matthew Brehmer; Bum Chul Kwon (IEEE VIS (Short Papers), 2019)

STGRAT: A Spatio-Temporal Graph Attention Network for Traffic Forecasting. - Cheonbok Park; Chunggi Lee; Hyojin Bahng; Taeyun won; Kihwan Kim; Seungmin Jin; Sungahn Ko; Jaegul Choo (CoRR, 2019)

GUIComp: A GUI Design Assistant with Real-Time, Multi-Faceted Feedback. - Chunggi Lee; Sanghoon Kim; Dongyun Han; Hongjun Yang; Youngwoo Park; Bum Chul Kwon; Sungahn Ko (CHI, 2020)

ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed. - Cheonbok Park; Chunggi Lee; Hyojin Bahng; Yunwon Tae; Seungmin Jin; Kihwan Kim; Sungahn Ko; Jaegul Choo (CIKM, 2020)

A Visual Analytics System for Exploring, Monitoring, and Forecasting Road Traffic Congestion. - Chunggi Lee; Yeonjun Kim; Seungmin Jin; Dongmin Kim; Ross Maciejewski; David S. Ebert; Sungahn Ko (IEEE Trans. Vis. Comput. Graph., 2020)

An Empirical Experiment on Deep Learning Models for Predicting Traffic Data. - Hyunwook Lee; Cheonbok Park; Seungmin Jin; Hyeshin Chu; Jaegul Choo; Sungahn Ko (ICDE, 2021)

Calibrating Dynamic Traffic Assignment Models by Parallel Search using Active-CMA-ES. - Jaebak Hwang; Sungahn Ko; Tsz-Chiu Au (ITSC, 2021)

Wait, Let's Think about Your Purchase Again: A Study on Interventions for Supporting Self-Controlled Online Purchases. - Yunha Han; Hwiyeon Kim; Hyeshin Chu; Joohee Kim; Hyunwook Lee; Seunghyeong Choe; Dooyoung Jung; Dongil Chung; Bum Chul Kwon; Sungahn Ko (WWW, 2021)

ZeVis: A Visual Analytics System for Exploration of a Larval Zebrafish Brain in Serial-Section Electron Microscopy Images. - Junyoung Choi; David Grant Colburn Hildebrand; Jungmin Moon; Tran Minh Quan; Tuan Tran Anh; Sungahn Ko; Won-Ki Jeong (IEEE Access, 2021)

An Empirical Study on How People Perceive AI-generated Music. - Hyeshin Chu; Joohee Kim; Seongouk Kim; Hongkyu Lim; Hyunwook Lee; Seungmin Jin; Jongeun Lee; Taehwan Kim; Sungahn Ko (CIKM, 2022)

Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting. - Hyunwook Lee; Seungmin Jin; Hyeshin Chu; Hongkyu Lim; Sungahn Ko (ICLR, 2022)

An Empirical Study on the Relationship Between the Number of Coordinated Views and Visual Analysis. - Juyoung Oh; Chunggi Lee; Hwiyeon Kim; Kihwan Kim; Oh-Sang Kwon; Eric D. Ragan; Bum Chul Kwon; Sungahn Ko (CoRR, 2022)

A Graphical Workflow Exploration Environment For Visual Analytics. - Chunggi Lee; Juyoung Oh; Seungmin Jin; Isaac Cho; Sungahn Ko (CoRR, 2022)

TILDE-Q: A Transformation Invariant Loss Function for Time-Series Forecasting. - Hyunwook Lee; Chunggi Lee; Hongkyu Lim; Sungahn Ko (CoRR, 2022)

HisVA: A Visual Analytics System for Studying History. - Dongyun Han; Gorakh Parsad; Hwiyeon Kim; Jaekyom Shim; Oh-Sang Kwon; Kyung A. Son; Jooyoung Lee; Isaac Cho; Sungahn Ko (IEEE Trans. Vis. Comput. Graph., 2022)

A Visual Analytics System for Improving Attention-based Traffic Forecasting Models. - Seungmin Jin; Hyunwook Lee; Cheonbok Park; Hyeshin Chu; Yunwon Tae; Jaegul Choo; Sungahn Ko (IEEE Trans. Vis. Comput. Graph., 2023)

Roslingifier: Semi-Automated Storytelling for Animated Scatterplots. - Minjeong Shin; Joohee Kim; Yunha Han; Lexing Xie; Mitchell Whitelaw; Bum Chul Kwon; Sungahn Ko; Niklas Elmqvist (IEEE Trans. Vis. Comput. Graph., 2023)

TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts. - Hyunwook Lee; Sungahn Ko (ICLR, 2024)

Towards Visualization Thumbnail Designs That Entice Reading Data-Driven Articles. - Hwiyeon Kim; Joohee Kim; Yunha Han; Hwajung Hong; Oh-Sang Kwon; Young-Woo Park; Niklas Elmqvist; Sungahn Ko; Bum Chul Kwon (IEEE Trans. Vis. Comput. Graph., 2024)

Unveiling High-dimensional Backstage: A Survey for Reliable Visual Analytics with Dimensionality Reduction. - Hyeon Jeon; Hyunwook Lee; Yun-Hsin Kuo; Taehyun Yang; Daniel Archambault; Sungahn Ko; Takanori Fujiwara; Kwan-Liu Ma; Jinwook Seo (CHI, 2025)

DG Comics: Semi-Automatically Authoring Graph Comics for Dynamic Graphs. - Joohee Kim; Hyunwook Lee; Duc M. Nguyen; Minjeong Shin; Bum Chul Kwon; Sungahn Ko; Niklas Elmqvist (IEEE Trans. Vis. Comput. Graph., 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, 2025)

Navigating High-Dimensional Backstage: A Guide for Exploring Literature for the Reliable Use of Dimensionality Reduction. - Hyeon Jeon; Hyunwook Lee; Yun-Hsin Kuo; Taehyun Yang; Daniel Archambault; Sungahn Ko; Takanori Fujiwara; Kwan-Liu Ma; Jinwook Seo (CoRR, 2025)