Sungahn Ko

According to our database, Sungahn Ko authored at least 37 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., January, 2025

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., August, 2024

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

Hyunwook Lee, Sungahn Ko

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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., June, 2023

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

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

TILDE-Q: A Transformation Invariant Loss Function for Time-Series Forecasting.

Hyunwook Lee, Chunggi Lee, Hongkyu Lim, Sungahn Ko

CoRR, 2022

A Graphical Workflow Exploration Environment For Visual Analytics.

Chunggi Lee, Juyoung Oh, Seungmin Jin, Isaac Cho, Sungahn Ko

CoRR, 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

Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting.

Hyunwook Lee, Seungmin Jin, Hyeshin Chu, Hongkyu Lim, Sungahn Ko

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

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

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

Proceedings of the WWW '21: The Web Conference 2021, 2021

Calibrating Dynamic Traffic Assignment Models by Parallel Search using Active-CMA-ES.

Jaebak Hwang, Sungahn Ko, Tsz-Chiu Au

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

An Empirical Experiment on Deep Learning Models for Predicting Traffic Data.

Hyunwook Lee, Cheonbok Park, Seungmin Jin, Hyeshin Chu, Jaegul Choo, Sungahn Ko

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

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

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

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

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

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

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

Thumbnails for Data Stories: A Survey of Current Practices.

Hwiyeon Kim, Juyoung Oh, Yunha Han, Sungahn Ko, Matthew Brehmer, Bum Chul Kwon

Proceedings of the 30th IEEE Visualization Conference, 2019

Modeling Exploration/Exploitation Decisions through Mobile Sensing for Understanding Mechanisms of Addiction.

Kihwan Kim, Sanghoon Kim, Chunggi Lee, Sungahn Ko

Proceedings of the 17th Annual International Conference on Mobile Systems, 2019

System Architecture for Progressive Augmented Reality.

Yunha Han, Chunggi Lee, Sanghoon Kim, Sungahn Ko

Proceedings of the 17th Annual International Conference on Mobile Systems, 2019

2016

A Visual Analytics Framework for Microblog Data Analysis at Multiple Scales of Aggregation.

Jiawei Zhang, Benjamin Ahlbrand, Abish Malik, Junghoon Chae, Zhiyu Min, Sungahn Ko, David S. Ebert

Comput. Graph. Forum, 2016

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

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

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, Abish Malik, Sungahn Ko, David S. Ebert

Proceedings of the 10th IEEE Conference on Visual Analytics Science and Technology, 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, Abish Malik, Sungahn Ko, David S. Ebert

Proceedings of the 10th IEEE Conference on Visual Analytics Science and Technology, 2015

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, Siqaio Chen, Hanye Xu, Jieqiong Zhao, William Hatton, Abish Malik, Sungahn Ko, David S. Ebert

Proceedings of the 10th IEEE Conference on Visual Analytics Science and Technology, 2015

2014

Aided decision-making through visual analytics systems for large multivariate, spatiotemporal, hierarchical and network data

Sungahn Ko

PhD thesis, 2014

VASA: Interactive Computational Steering of Large Asynchronous Simulation Pipelines for Societal Infrastructure.

Sungahn Ko, Jieqiong Zhao, Jing Xia, Shehzad Afzal, Xiaoyu Wang, Greg Abram, Niklas Elmqvist, Len Kne, David Van Riper, Kelly P. Gaither, Shaun Kennedy, William J. Tolone, William Ribarsky, David S. Ebert

IEEE Trans. Vis. Comput. Graph., 2014

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, David S. Ebert

Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014

2013

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

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

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

Proceedings of the 7th IEEE Conference on Visual Analytics Science and Technology, 2012

2011

Applying mobile device soft keyboards to collaborative multitouch tabletop displays: design and evaluation.

Sungahn Ko, KyungTae Kim, Tejas D. Kulkarni, Niklas Elmqvist

Proceedings of the ACM International Conference on Interactive Tabletops and Surfaces, 2011

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

Proceedings of the 44th Hawaii International International Conference on Systems Science (HICSS-44 2011), 2011

2009

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