Submitted/Under Revision

  • S. Jin et al., Traffic XAI (TVCG)
  • M. Shin et al., StoryAuthoring  (CHI)
  • S. Choi et al., AR VIS (VIS Short)

In Preparation/Working Papers

  • H. Kim et al., Visualization Thumbnails (TVCG)
  • J. Kim et al., BiasVis (CHI) 
  • H. Lee et al., Traffic Deep Learning (AAAI) 
  • H. Lee et al., BusVis (VIS)
  • SocialComputing VIS (VIS)


Published

  • *Dongyun Han, Gorakh Parsad, Hwiyeon Kim, Jaekyom Shim, Oh-Sang Kwon, Kyung A Son, Jooyoung Lee, Isaac Cho, and Sungahn Ko*, HisVA: A Visual Analytics System for Studying History (2021) IEEE Transactions on Visualization and Computer Graphics (TVCG) [PDF]
  • *Yunha Han, Hwiyeon Kim, Hyeshin Chu, Joohee Kim, Hyunwook Lee, Seunghyeong Choe, Dooyoung Jung, Dongil Chung, Bum Chul Kwon, Sungahn Ko* Wait, Let’s Think about Your Purchase Again: A Study on Interventions for Supporting Self-Controlled Online Purchases (2021) The Web Conference (TheWebConf., WWW) [PDF]
  • *Hyunwook Lee, Cheonbok Park, Seungmin Jin, Hyeshin Chu, Jaegul Choo*, Sungahn Ko* An Empirical Experiment on Deep Learning Models for Predicting Traffic Data (2021) IEEE International Conference on Data Engineering (ICDE), short [PDF]
  • Cheonbok Park, Chunggi Lee, Hyojin Bahng, Taeyun Won, Kihwan Kim, Seungmin Jin, Sungahn Ko*, Jaegul Choo* STGRAT: A Spatio-Temporal Graph Attention Network for Traffic Forecasting (2020) ACM International Conference on Information and Knowledge Management (CIKM) [PDF]
  • Chunggi Lee, Sanghoon Kim, Dongyun Han, Hongjun Yang, Young-Woo Park, Bum Chul Kwon, Sungahn Ko*, GUIComp: A GUI Design Assistant with Real-Time, Multi-Faceted Feedback, ACM Conference on Human Factors in Computing Systems (CHI), 2020 [PDF]
  • Cheonbok Park, Chunggi Lee, Hyojin Bahng, Taeyun Won, Kihwan Kim, Seungmin Jin, Sungahn Ko*, Jaegul Choo*, STGRAT: A Spatio-Temporal Graph Attention Network for Traffic Forecasting, arXiv:1911.1318, 2019 [PDF]
  • Hwiyeon Kim, Juyoung Oh, Yunha Han, Sungahn Ko*, Matthew Brehmer, Bum Chul Kwon, Thumbnails for Data Stories: A Survey of Current Practices, IEEE VIS (Short), 2019 [PDF]
  • Chunggi Lee, Yeonjun Kim, Seungmin Jin, Dongmin Kim, Ross Maciejewski, David Ebert, and Sungahn Ko*, A Visual Analytics System for Exploring, Monitoring, and Forecasting Road Traffic Congestion, IEEE Transactions on Visualization and Computer [PDF] [Slides]
  • Sanghoon Kim, Dongyun Han, Jaeman Son, Kihwan Kim, Sungahn Ko*, A Human-Centered Method for the Prevention of Propagation of Fake News on Mobile Social Network Services, MobiSys, 2019 (Poster), To appear
  • Yunha Han, Chunggi Lee, Sanghoon Kim, Sungahn Ko*, System Architecture for Progressive Augmented Reality, MobiSys, 2019 (Poster), To appear
  • Kihwan Kim, Sanghoon Kim, Chunggi Lee, Sungahn Ko (*), Modeling Exploration/Exploitation Decisions through Mobile Sensing for Understanding Mechanisms of Addiction, MobiSys, 2019 (Poster), To appear
  • Kuatbek Mukabak, Meirambek Omyrzak , Sungahn Ko (*), Insight Provenance In Learning, PacificVis, 2017 (Poster)
  • Sungahn Ko, Isaac Cho, Shehzad Afzal, Calvin Yau, Junghoon Chae, Abish Malik, Kaethe Beck, Yun Jang, William Ribarsky, David S. Ebert, “A Survey on Visual Analysis Approaches for Financial Data,” Computer Graphics Forum (EuroVis 2016), 35(3):599-617, 2016 [PDF]
  • Jiawei Zhang, Benjamin Ahlbrand, Abish Malik, Junghoon Chae, Zhiyu Min, Sungahn Ko and David S. Ebert, “A Visual Analytics Framework for Microblog Data Analysis at Multiple Scales of Aggregation,” Computer Graphics Forum (EuroVis 2016), 35(3): 441-450, 2016 [PDF]
  • Junghoon Chae,Ziawei Zhang, Sungahn Ko, Abish Malik, Heather Connell, David Ebert, “Visual Analytics for Investigative Analysis of Hoax Distress Calls using Social Media,” IEEE International Symposium on Technologies for Homeland Security, 2016 [PDF]
  • Sungahnn Ko, Jieqiong Zhao, Jing Xia, Shehzad Afzal, Xiaoyu Wang, Greg Abram, Niklas Elmqvist,, Len Kne, David Van Riper, Kelly Gaither, Shaun Kennedy, William Tolone, William Ribarsky, David S. Ebert, “VASA: Interactive Computational Steering of Large Asynchronous Simulation Pipelines for Societal Infrastructure,” IEEE Transactions on Visualization and Computer Graphics (IEEE Vis 2014), 20(12):1853-1862, 2014 [PDF]
  • Sungahnn Ko, Shehzad Afzal, Yang Yang, Junghoon Chae, Abish Malik, Yun Jang David Ebert, “Analyzing High-dimensional Multivariate Network Links with Integrated Anomaly Detection, Highlighting and Exploration”, IEEE Conference on Visual Analytics Sciences and Technology (IEEE Vis 2014), p83-92, 2014 [PDF]
  • Chen, V.Y., Razip, A.M., Ko, S., Qian, C.Z., and Ebert, D.S., “Multi-aspect visual analytics on large-scale high-dimensional cyber security data”, Information Visualization, 2013 [PDF]
  • Maciejewski, R., Pattath, A., Ko, S., Hafen, R., Cleveland, W., Ebert, D., “Automated Box-Cox Transformations for Improved Visual Encoding,” IEEE Transactions on Visualization and Computer Graphics, 19(1): 130-140, 2013 [PDF]
  • Sungahn Ko, Jang, Y., Maciejewski, R., Ebert, D, “MarketAnalyzer: An Interactive Visual Analytics System for Analyzing Competitive Advantage Using Point of Sale Data,” Computer Graphics Forum (EuroVis 2012), 31(3):1245-1254, 2012 [PDF]
  • Sungahn Ko, KyungTae Kim, Tejas Kulkarni, Niklas Elmqvist, “Applying mobile device soft keyboards to collaborative multitouch tabletop displays: design and evaluation,” Proceedings of International Tabletop Surface, p130-139, 2011 [PDF]
  • KyungTae Kim, Sungahn Ko, Niklas Elmqvist, David S. Ebert, “WordBridge: Using Composite Tag Clouds in Node-Link Diagrams for Visualizing Content and Relations in Text Corpora,” HICSS 2011: 1-8 [PDF]
  • Man-Keun Seo, Sungahn Ko, Kyu Ho Park, “NLE-FFS: A Flash File System with PRAM for Non-linear Editing,” IEEE Transactions On Consumer Electronics, 55(4):2016-2024, 2009 [PDF]