Tak Yeon Lee

Orcid: 0000-0002-9235-9947

According to our database1, Tak Yeon Lee authored at least 26 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Designing Prompt Analytics Dashboards to Analyze Student-ChatGPT Interactions in EFL Writing.
CoRR, 2024

RECIPE4U: Student-ChatGPT Interaction Dataset in EFL Writing Education.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
FABRIC: Automated Scoring and Feedback Generation for Essays.
CoRR, 2023

PromptCrafter: Crafting Text-to-Image Prompt through Mixed-Initiative Dialogue with LLM.
CoRR, 2023

SpotLight: Visual Insight Recommendation.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

RECIPE: How to Integrate ChatGPT into EFL Writing Education.
Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

Visual Insight Recommendation: From Ranking Insight Visualizations to Insight Types.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Personalized Visualization Recommendation.
ACM Trans. Web, 2022

An Evaluation-Focused Framework for Visualization Recommendation Algorithms.
IEEE Trans. Vis. Comput. Graph., 2022

Virfie: Virtual Group Selfie Station for Remote Togetherness.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021
Insight-centric Visualization Recommendation.
CoRR, 2021

Generating Accurate Caption Units for Figure Captioning.
Proceedings of the WWW '21: The Web Conference 2021, 2021

EXACTA: Explainable Column Annotation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Learning to Recommend Visualizations from Data.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
ML-based Visualization Recommendation: Learning to Recommend Visualizations from Data.
CoRR, 2020

2018
Detecting Link and Landing Page Misalignment in Marketing Emails.
Proceedings of the Database and Expert Systems Applications, 2018

Identifying Types of Misalignments between Promotion Emails and Landing Pages.
Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017
Toward Symbiotic Human-AI Interaction Focusing on Programming by Example.
PhD thesis, 2017

Evaluating Visual Representations for Topic Understanding and Their Effects on Manually Generated Labels.
Trans. Assoc. Comput. Linguistics, 2017

The human touch: How non-expert users perceive, interpret, and fix topic models.
Int. J. Hum. Comput. Stud., 2017

Towards Understanding Human Mistakes of Programming by Example: An Online User Study.
Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017

2016
Give the people what they want: studying end-user needs for enhancing the web.
PeerJ Comput. Sci., 2016

2014
CTArcade: Computational thinking with games in school age children.
Int. J. Child Comput. Interact., 2014

2013
Experiments on Motivational Feedback for Crowdsourced Workers.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

2012
TreeCovery: Coordinated dual treemap visualization for exploring the Recovery Act.
Gov. Inf. Q., 2012

CTArcade: learning computational thinking while training virtual characters through game play.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2012


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