Hyungyu Shin

Hyungyu Shin

I'm a Ph.D. student in the School of Computing at KAIST, working with Prof. Juho Kim. My research focuses on building interactive systems that help people ideate, create, and iterate multimedia contents better. Previously, I worked on in-memory graph databases. Reach me via Email, Facebook, or Google Scholar.

Education

Ph.D. Korea Advanced Institute of Science and Technology (KAIST)
School of Computing
Advisor: Prof. Juho Kim		 2019.3 - Present
M.S. Korea Advanced Institute of Science and Technology (KAIST)
School of Computing, Outstanding Thesis Award
Thesis: Understanding the Effect of In-Video Prompting on Learners and Instructors
Advisor: Prof. Juho Kim		 2017.3 - 2019.2
B.S. Pohang University of Science and Technology (POSTECH)
Computer Science & Engineering, Summa Cum Laude		 2011.3 - 2015.2

Work Experience

Research Intern Creative Intelligence Lab, Adobe, Cambridge, MA
Designed a tool for easily authoring slides based on documents.		 2018.6 - 2018.9
Software Intern PGX Team, Oracle, Redwood City, CA
Worked on improving performance of subgraphs loading into memory. Introduced the concept of the auto filter, released in the product.		 2015.12 - 2016.3
Software Intern Transactions Team, SAP, Seoul, South Korea
Analyzed the performance and efficiency of garbage collector in SAP HANA. Published in SIGMOD 2016.		 2016.7 - 2016.8

Publications

  • AINeedsPlanner: A Workbook to Support Effective Collaboration Between AI Experts and Clients
    Dae Hyun Kim, Hyungyu Shin, Shakhnozakhon Yadgarova, Jinho Son, Hariharan Subramonyam, Juho Kim
    DIS 2024
    ACM DL
  • Co-Creating Question-and-Answer Style Articles with Large Language Models for Research Promotion
    Hyunseung Lim, Ji Yong Cho, Taewan Kim, Jeongeon Park, Hyungyu Shin, Seulgi Choi, Sunghyun Park, Kyungjae Lee, Juho Kim, Moontae Lee, Hwajung Hong
    DIS 2024
    ACM DL
  • Teach AI How to Code: Using Large Language Models as Teachable Agents for Programming Education
    Hyoungwook Jin, Seonghee Lee, Hyungyu Shin, Juho Kim
    CHI 2024 (Best Paper Honorable Mention Award)
    PDF| ACM DL| Project Website
  • AlgoSolve: Supporting Subgoal Learning in Algorithmic Problem-Solving with Learnersourced Microtasks
    Kabdo Choi, Hyungyu Shin, Meng Xia, Juho Kim
    CHI 2022
    PDF| ACM DL| Presentation Video| Project Website
  • ProtoChat: Supporting the Conversation Design Process with Crowd Feedback
    Yoonseo Choi, Toni-Jan Keith Monserrat, Jeongeon Park, Hyungyu Shin, Nyoungwoo Lee, Juho Kim
    CSCW 2020
    PDF | ACM DL | Project Website
  • Understanding the Effect of In-Video Prompting on Learners and Instructors
    Hyungyu Shin, Eun-Young Ko, Joseph Jay Williams, Juho Kim
    CHI 2018
    PDF | ACM DL | Video Preview | Slide
  • Hybrid Garbage Collection for Multi-Version Concurrency Control in SAP HANA
    Juchang Lee, Hyungyu Shin, Chang Gyoo Park, Seongyun Ko, Jaeyun Noh, Yongjae Chuh, Wolfgang Stephen, Wook-Shin Han
    SIGMOD 2016
    ACM DL
  • Taming Subgraph Isomorphism for RDF Query Processing
    Jinha Kim, Hyungyu Shin, Wook-Shin Han, Sungpack Hong, Hassan Chafi
    VLDB 2015
    ACM DL

Posters and Workshops

  • Towards an Evaluation of LLM-Generated Inspiration by Developing and Validating Inspiration Scale
    Hyungyu Shin, Seulgi Choi, Ji Yong Cho, Sahar Admoni, Hyunseung Lim, Taewan Kim, Hwajung Hong, Moontae Lee, Juho Kim
    CHI 2024 Workshop on Human Centered Evaluation and Auditing of Large Language Models
    PDF|
  • XDesign: Integrating Interface Design into Explainable AI Education
    Hyungyu Shin, Nabila Sindi, Yoonjoo Lee, Jaeryoung Ka, Jean Y. Song, Juho Kim
    SIGCSE 2022 Poster
    Project Website | PDF | ACM DL
  • AlgoPlan: Supporting Planning in Algorithmic Problem-Solving with Subgoal Diagrams
    Kabdo Choi, Sally Chen, Hyungyu Shin, Jinho Son, Juho Kim
    Learning at Scale 2020 Work-in-Progress
    PDF
  • Leveraging the Crowd to Support the Conversation Design Process
    Yoonseo Choi, Hyungyu Shin, Toni-Jan Keith Monserrat, Nyoungwoo Lee, Jeongeon Park, Juho Kim
    CHI 2020 Workshop on CUI@CHI: Mapping Grand Challenges for the Conversational User Interface Community
    PDF
  • Supporting an Iterative Conversation Design Process
    Yoonseo Choi, Hyungyu Shin, Toni-Jan Keith Monserrat, Nyoungwoo Lee, Jeongeon Park, Juho Kim
    CHI 2020 Extended Abstracts (Late Breaking Work)
    PDF

Honors and Awards

Programming Contest 5th place, ACM-ICPC Asia Daejeon Regional 2011, 2012
1st place, POSTECH Programming Contest 2011
3rd place, Korea Olympiad in Informatics 2010

Academic Service

Reviewer DIS 2019, CSCW 2019, 2020, 2021, CHI 2022
Conference Organizer Video Previews Chair UIST 2021, UIST 2022
Student Volunteer (assisting Learning subcommittee) CHI 2022

Teaching

Instructor Live Video Streaming on Elice
Online courses with 100+ learners
Led data structure and algorithm courses
Course websites (in Korean): [DS&AL] [AL1] [AL2] [DS1]		 Mar. 2017 - Nov. 2017
Elice Data Scientist Course
Offline course with 30+ learners
Designed curriculums, course materials, and assignments for ACM-ICPC
Led 8 TAs		 Nov. 2016 - Dec. 2016
POSTECH Computing Algorithms Team Seminar
Offline seminars with 10+ undergraduate students in POSTECH
Designed curriculums, course materials, and assignments for ACM-ICPC
Course websites: [Link]		 Jun. 2014 - July. 2014
TA AI for Smart Life, KAIST
Introduction to Human-AI Interaction, KAIST
Introduction to Algorithm, KAIST
Introduction to Human-Computer Interaction, KAIST
Database System, POSTECH

* : Outstanding TA award 		2021
2020*, 2021*
2019, 2022
2017, 2018*
2015