Hi! I'm a final-year Ph.D. student in the School of Computing at KAIST. I am working with Juho Kim as part of KIXLAB.

My research lies at the intersection of HCI and AI, particularly focusing on multimodal understanding and human-AI collaboration. My work aims to help people learn and complete tasks in both physical domains (e.g., cooking, assembly) and digital environments (e.g., software, GUI tasks). I explore how to leverage videos as rich sources of knowledge about procedural tasks, and how to design interactive systems that facilitate effective knowledge capture, sharing, and consumption. Recently, I've been working on equipping GUI agents with an understanding of human behaviors and intention for adaptive and proactive assistance.

News

• 👩‍💼 (Jul. 2025) Serving as Program Committee for AAAI 2026.
• 🛫 (Mar. 2025) I'll be in Pittsburgh this summer.
• 📝 (Jan. 2025) My Adobe internship paper has been accepted to IUI 2025!
• 🏆 (Nov. 2024) Received a Special Recognition for Outstanding Reviews at CHI 2025.
• 👩‍💼 (Nov. 2024) Serving as PC member for IUI 2025.
• 🛫 (Oct. 2024) Attended UIST 2024 in Pittsburgh!🇺🇸
• 📝 (Aug. 2024) Doctoral Consortium and a paper have been accepted to UIST 2024!
• 🛫 (May. 2024) Attended CVPR 2024 and presented workshop papers!🇺🇸
• 👩‍💼 (May. 2024) Started a summer internship at Adobe Seattle!
• 🛫 (May. 2024) Attended CHI 2024 in Hawaii!🇺🇸
• 📝 (Apr. 2024) Papers accepted to CVPR 24 LPVL workshop!
• 👩‍💼 (Mar. 2024) Serving as a program committee member for CVPR 24 workshop on procedural videos (LPVL).
• 🛫 (Mar. 2024) Attended IUI 2024 in Greenville!🇺🇸
• 🛫 (Feb. 2024) Attended AAAI 2024 in Vancouver!🇨🇦
• 📝 (Jan. 2024) My Autodesk internship paper has been accepted to CHI 2024!

Publications

GUIDE: A Benchmark for Understanding and Assisting Users in Open-Ended GUI Tasks (to appear)

Saelyne Yang, Jaesang Yu, Yi-Hao Peng, Kevin Qinghong Lin, Jae Won Cho, Yale Song, Juho Kim

Under Review

VideoMix: Aggregating How-To Videos for Task-Oriented Learning

Saelyne Yang, Anh Truong, Juho Kim, Dingzeyu Li

IUI 2025

[pdf]

Enhancing How People Learn Procedural Tasks Through How-to Videos

Saelyne Yang

UIST 2024 Doctoral Symposium

[pdf] [poster]

Silent Impact: Tracking Tennis Shots from the Passive Arm

Junyong Park, Saelyne Yang, Sungho Jo

UIST 2024

[pdf]

Fine-Grained Action Understanding with Tools in Instructional Videos

Saelyne Yang, Jaesang Yu, Jae Won Cho, Juho Kim

CVPR 2024 Workshop on Learning from Procedural Videos and Language

[pdf] [poster]

AQuA: Automated Question-Answering in Software Tutorial Videos with Visual Anchors

Saelyne Yang, Jo Vermeulen, George Fitzmaurice, Justin Matejka

CHI 2024

[pdf]

ExpressEdit: Video Editing with Natural Language and Sketching

Bekzat Tilekbay, Saelyne Yang, Michal A Lewkowicz, Alex Suryapranata, Juho Kim

IUI 2024

Also presented at the HAI-GEN Workshop at IUI 2024

[pdf] [project website]

YTCommentQA: Video Question Answerability in Instructional Videos

Saelyne Yang, Sunghyun Park, Yunseok Jang, Moontae Lee

AAAI 2024

Also presented at the LPVL Workshop at CVPR 2024

[pdf] [poster] [dataset]

Towards Content-based Pixel Retrieval in Revisited Oxford and Paris

Guoyuan An, Woo Jae Kim, Saelyne Yang, Rong Li, Yuchi Huo, Sungeui Yoon

ICCV 2023

[pdf] [dataset]

Beyond Instructions: A Taxonomy of Information Types in How-to Videos

Saelyne Yang, Sangkyung Kwak﹡, Juhoon Lee﹡, Juho Kim

CHI 2023

[pdf] [project website] [talk]

AVscript: Accessible Video Editing with Audio-Visual Scripts

Mina Huh, Saelyne Yang, Yi-Hao Peng, Xiang ‘Anthony’ Chen, Young-Ho Kim, Amy Pavel

CHI 2023

[pdf]

CatchLive: Real-time Summarization of Live Streams with Stream Content and Interaction Data

Saelyne Yang, Jisu Yim, Juho Kim, Hijung Valentina Shin

CHI 2022

[pdf] [project website]

Improving Video Interfaces by Presenting Informational Units of Videos

Saelyne Yang, Sankyung Kwak, Tae Soo Kim, Juho Kim

CHI 2022 Workshop on Computational Approaches for Understanding, Generating, and Adapting User Interfaces

[pdf]

SoftVideo: Improving the Learning Experience of Software Tutorial Videos with Collective Interaction Data

Saelyne Yang, Jisu Yim, Aitolkyn Baigutanova, Seoyoung Kim, Minsuk Chang, Juho Kim

IUI 2022

[pdf] [project website]

Snapstream: Snapshot-based Interaction in Live Streaming for Visual Art

Saelyne Yang, Changyoon Lee, Hijung Valentina Shin, Juho Kim

CHI 2020

[pdf] [project website] [video preview]

What Makes It Hard for Users to Follow Software Tutorial Videos?

Saelyne Yang, Juho Kim

HCI Korea 2020

[pdf]

Experiences

• Adobe Research
  Research Intern, STORIE Lab (May. 2024 - Aug. 2024)
  Mentors: Dingzeyu Li, Anh Truong
• Autodesk Research
  Research Intern, HCI & Visualization Group (Jun. 2023 - Sep. 2023)
  Mentors: Jo Vermeulen, Justin Matejka, George Fitzmaurice
• LG AI Research
  Research Intern, Advanced ML Lab (Oct. 2022 - Feb. 2023)
  Mentor: Moontae Lee
• Adobe Research
  Research Intern, Creative Technologies Lab (Jun. 2020 - Sep. 2020)
  Mentor: Hijung Valentina Shin
• ACRYL
  Software Engineer Intern (Jan. 2018 - Feb. 2018)
  

Awards & Honors

• Special Recognition for Outstanding Reviews (CHI 2025)
• AAAI Student Scholar (2024)
• Google Student Travel Grant (2023)
• NAVER PhD Fellowship (2022)
• Special Recognition for Outstanding Reviews (CSCW 2023)
• Special Recognition for Outstanding Reviews (CHI 2022)
• Inseong Fellow, KAIST (2021)
• An Outstanding TA Award, KAIST (2021 Spring, 2022 Spring)
• An Outstanding MS Thesis Award, KAIST (2021)
• Kwanjeong Scholarship (2019-20)
• Google WTM Scholarsip (2018)
• Dean's List, School of Computing, KAIST (2018 Spring)

Academic Services

Invited Talks

Education

• Ph.D. in School of Computing, KAIST (Mar. 2021 - Present)
  GPA: 4.16/4.3, Advisor: Prof. Juho Kim
  
• M.S. in School of Computing, KAIST (Mar. 2019 - Feb. 2021)
  An Outstanding MS Thesis Award, Advisor: Prof. Juho Kim
  
• B.S. in School of Computing, KAIST (Mar. 2015 - Feb. 2019)
  Magna Cum Laude