Yewon Kim

Yewon Kim

I am a graduate student researcher at KAIST, advised by Sung-Ju Lee, and a visiting student researcher at Carnegie Mellon University, working with Chris Donahue. I also work closely with Mina Lee at Microsoft Research / University of Chicago. I received my B.S. and M.S. degrees in Electrical Engineering at KAIST.

My research interests lie in human-computer interaction (HCI) and articial intelligence (AI). I am passionate about leveraging AI to make creation processes more accessible and enjoyable for users at all skill levels. Recently, I have been interested in developing AI-assisted interactive systems for songwriters. 🎵

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News


Apr. 2024        👩🏻‍💻 Visiting research at CMU @ Pittsburgh, PA (Apr - Sep)
Jan. 2024        🌷 Paper accepted at CHI 2024
Oct. 2023        ✈️ UbiComp/ISWC 2023 @ Cancun, Mexico (Oct 8 - 12)
Sep. 2023        🌷 Paper accepted at NeurIPS 2023
Apr. 2023        🌷 Paper accepted at IMWUT (UbiComp) 2023
Apr. 2023        ✈️ CHI 2023 @ Hamburg, Germany (Apr 22 - 29)
Mar. 2023        🌷 Paper accepted at CHI Workshop 2023

Research


How Non-native English Speakers Use, Assess, and Select AI-Generated Paraphrases with Information Aids
Yewon Kim, Thanh-Long V. Le, Donghwi Kim, Mina Lee, Sung-Ju Lee
Equal senior role
Under review

A Design Space for Intelligent and Interactive Writing Assistants
Mina Lee, Katy Ilonka Gero, John Joon Young Chung et al. (30+ authors)
§4.2 User: Katy Ilonka Gero, Yewon Kim, Senjuti Dutta, Lila Shroff, Disha Shrivastava, John Joon Young Chung, Eugenia Ha Rim Rho

CHI 2024
Paper Website

Towards Explainable AI Writing Assistants for Non-native English Speakers
Yewon Kim, Mina Lee, Donghwi Kim, and Sung-Ju Lee
CHI 2023 Workshop on Intelligent and Interactive Writing Assistants
Paper Website

Tailoring Interactions: Exploring the Opportune Moment for Remote Computer-mediated Interactions with Home-alone Dogs
Yewon Kim, Taesik Gong, and Sung-Ju Lee
CHI EA 2023
Paper Website Poster Talk

SoTTA: Robust Test-Time Adaptation on Noisy Data Streams
Taesik Gong*, Yewon Kim*, Taeckyung Lee*, Sorn Chottananurak, and Sung-Ju Lee
*Equal contribution
NeurIPS 2023
Paper Website Code

DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing
Taesik Gong, Yewon Kim, Adiba Orzikulova, Yunxin Liu, Sung Ju Hwang, Jinwoo Shin, and Sung-Ju Lee
IMWUT (UbiComp) 2023
Paper Website

NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation
Taesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Jinwoo Shin, and Sung-Ju Lee
NeurIPS 2022
Qualcomm Innovation Fellowship Finalist
Paper Website Code Poster Talk

Honors


Special Recognition for Outstanding Reviews
CHI 2024

CVPR 2023 Art Gallery
Works accepted to CVPR 2023 Art Gallery have been shown as part of a series of looping videos that played on displays throughout the conference.

NMSL Labmate of the Year
I was awarded the Labmate of the Year (2022) by our lab members for demonstrating exceptional qualities in teamwork, leadership, and dedication to our lab's success! Comments can be found here :)

Students with Outstanding Questions
In recognition of the students who asked challenging and creative questions during lectures. KAIST, Jul. 2022

Graduate of the Year Award (KAIST Alumni Association Chairperson's Prize)
Honor for top 5 (0.7%) out of 695 students, who demonstrated outstanding performances in various activities as well as in grades. Awarded at the commencement ceremony. KAIST, Feb. 2022

Engineering Innovator Award
In recognition of the outstanding engineering accomplishments. KAIST College of Engineering, Sep. 2021

Grand Prix Prize in Undergraduate Research Participation Program
DAPPER: Training-Free Domain Adaptation Performance Estimation in Mobile Sensing. KAIST, Aug. 2021

National Science and Engineering Undergraduate Scholarship
Merit-based scholarship awarded by Korea Student Aid Foundation. Fall 2020

Department Honors Scholarship
Awarded to top 3 (0.4%) out of 800+ students in School of Electrical Engineering. Salutatorian. KAIST, Spring 2020

Dean's List
Awarded to top 3% among 2,900+ students in College of Engineering. KAIST, Spring 2020

Leadership Mileage Certificate
Honor for top 3% among 3,600+ students with top achievements in leadership activities including volunteering and campus activities. KAIST, 2020

Projects


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