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Computer Science

D-Index
68
Citations
16106
World Ranking
2110
National Ranking
1063

Overview

Bongshin Lee is a researcher affiliated with Microsoft in the United States. Their work primarily spans computer science, with a notable focus on data visualization and related technology fields.

The main areas of study for Bongshin Lee include:

  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Artificial Intelligence
  • Demography
  • Sociology and Political Science

Their research topics cover several domains, including:

  • Data Visualization and Analytics
  • Video Analysis and Summarization
  • Technology Use by Older Adults
  • Innovative Human-Technology Interaction
  • Multimedia Communication and Technology
  • Mobile Health and mHealth Applications
  • Image and Video Quality Assessment

Bongshin Lee has published extensively, with recurrent contributions to a range of publication venues. The most frequent venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Visualization and Computer Graphics
  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • IEEE Computer Graphics and Applications
  • CHI Conference on Human Factors in Computing Systems

Recent papers demonstrate a focus on visual and interactive technologies for data understanding and analysis. Some of these publications are:

  • "Reaching Broader Audiences With Data Visualization" (2020), published in IEEE Computer Graphics and Applications
  • "Data Visceralization: Enabling Deeper Understanding of Data Using Virtual Reality" (2020), published in IEEE Transactions on Visualization and Computer Graphics
  • "MobileVisFixer: Tailoring Web Visualizations for Mobile Phones Leveraging an Explainable Reinforcement Learning Framework" (2020), published in IEEE Transactions on Visualization and Computer Graphics
  • "Interweaving Multimodal Interaction With Flexible Unit Visualizations for Data Exploration" (2020), published in IEEE Transactions on Visualization and Computer Graphics
  • "MyMove: Facilitating Older Adults to Collect In-Situ Activity Labels on a Smartwatch with Speech" (2022), published in CHI Conference on Human Factors in Computing Systems

Collaborations form a key part of Bongshin Lee's research, with frequent co-authors including:

  • Eun Kyoung Choe
  • Petra Isenberg
  • Anastasia Bezerianos
  • Steven M. Drucker
  • Yunhai Wang

Best Publications

  • Understanding quantified-selfers' practices in collecting and exploring personal data

    Eun Kyoung Choe;Nicole B. Lee;Bongshin Lee;Wanda Pratt

  • Home automation in the wild: challenges and opportunities

    A.J. Bernheim Brush;Bongshin Lee;Ratul Mahajan;Sharad Agarwal

  • Task taxonomy for graph visualization

    Bongshin Lee;Catherine Plaisant;Cynthia Sims Parr;Jean-Daniel Fekete

  • Effectiveness of Animation in Trend Visualization

    G. Robertson;R. Fernandez;D. Fisher;B. Lee

  • Research directions in data wrangling: visuatizations and transformations for usable and credible data

    Sean Kandel;Jeffrey Heer;Catherine Plaisant;Jessie Kennedy

  • More Than Telling a Story: Transforming Data into Visually Shared Stories

    Bongshin Lee;Nathalie Henry Riche;Petra Isenberg;Sheelagh Carpendale

  • ModelTracker: Redesigning Performance Analysis Tools for Machine Learning

    Saleema Amershi;Max Chickering;Steven M. Drucker;Bongshin Lee

  • An operating system for the home

    Colin Dixon;Ratul Mahajan;Sharad Agarwal;A. J. Brush

  • EnsembleMatrix: interactive visualization to support machine learning with multiple classifiers

    Justin Talbot;Bongshin Lee;Ashish Kapoor;Desney S. Tan

  • Beyond Mouse and Keyboard: Expanding Design Considerations for Information Visualization Interactions

    Bongshin Lee;P. Isenberg;N. H. Riche;S. Carpendale

  • A Deeper Understanding of Sequence in Narrative Visualization

    Jessica Hullman;Steven Drucker;Nathalie Henry Riche;Bongshin Lee

  • SparkClouds: Visualizing Trends in Tag Clouds

    Bongshin Lee;Nathalie Henry Riche;Amy K Karlson;Sheelash Carpendale

  • Squares: Supporting Interactive Performance Analysis for Multiclass Classifiers

    Donghao Ren;Saleema Amershi;Bongshin Lee;Jina Suh

  • Timelines Revisited: A Design Space and Considerations for Expressive Storytelling

    Matthew Brehmer;Bongshin Lee;Benjamin Bach;Nathalie Henry Riche

  • SketchStory: Telling More Engaging Stories with Data through Freeform Sketching

    Bongshin Lee;Rubaiat Habib Kazi;Greg Smith

  • Reducing legacy bias in gesture elicitation studies

    Meredith Ringel Morris;Andreea Danielescu;Steven Drucker;Danyel Fisher

  • Understanding self-reflection: how people reflect on personal data through visual data exploration

    Eun Kyoung Choe;Bongshin Lee;Haining Zhu;Nathalie Henry Riche

  • Multi-modal query refinement

    Timothy Seung Yoon Paek;Bo Thiesson;Yun-Cheng Ju;Bongshin Lee

  • SleepTight: low-burden, self-monitoring technology for capturing and reflecting on sleep behaviors

    Eun Kyoung Choe;Bongshin Lee;Matthew Kay;Wanda Pratt

  • Revealing uncertainty for information visualization

    Meredith Skeels;Bongshin Lee;Greg Smith;George G. Robertson

  • Electronic voting system usability issues

    Benjamin B. Bederson;Bongshin Lee;Robert M. Sherman;Paul S. Herrnson

  • Immersive Analytics

    Bongshin Lee;Benjamin Bach;Tim Dwyer;Kim Marriott

Frequent Co-Authors

Nathalie Henry Riche
Nathalie Henry Riche Microsoft (United States)
George G. Robertson
George G. Robertson Microsoft (United States)
Petra Isenberg
Petra Isenberg French Institute for Research in Computer Science and Automation - INRIA
Benjamin B. Bederson
Benjamin B. Bederson University of Maryland, College Park
Steven M. Drucker
Steven M. Drucker Microsoft (United States)
Sheelagh Carpendale
Sheelagh Carpendale Simon Fraser University
Desney S. Tan
Desney S. Tan Microsoft (United States)
Ashish Kapoor
Ashish Kapoor Microsoft (United States)
Danyel Fisher
Danyel Fisher Microsoft (United States)
Catherine Plaisant
Catherine Plaisant University of Maryland, College Park

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