Hyungjun Yoon

Hyungjun Yoon

Ph.D. Student @ KAIST
I am a Ph.D. student in Networking & Mobile Systems Lab at Korea Advanced Institute of Science and Technology (KAIST), advised by Professor Sung-Ju Lee. I'm interested in exploring how Machine Learning technologies can be applied to Mobile Computing applications in order to solve real-world problems in a more efficient and effective manner.
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News

  • Oct. 2023 | Paper accepted at EMNLP ‘23
  • Sep. 2022 | Visiting research in NTU, Singapore (Advisor Prof. Mo Li) (by Dec. 2022)
  • Mar. 2022 | Honorable Mention at ACM CHI ‘22
  • Nov. 2021 | Paper accepted at ACM CHI ‘22
  • Mar. 2021 | Started my integrated M.S. and Ph.D. in Networking & Mobile Systems Lab
  • Mar. 2020 | Started my M.S. in Networking & Mobile Systems Lab
  • Feb. 2020 | Graduated from KAIST as B.S. (Cum Laude)

Publications

Preprints

"IMG2IMU: Applying Knowledge from Large-Scale Images to IMU Applications via Contrastive Learning"
Hyungjun Yoon, Hyeongheon Cha, Canh Hoang Nguyen, Taesik Gong, and Sung-Ju Lee
arXiv
pdf arXiv

Conferences and Journals

"FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated Learning"
Jaemin Shin, Hyungjun Yoon, Seungjoo Lee, Sungjoon Park, Yunxin Liu, Jinho D. Choi, and Sung-Ju Lee
The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Singapore.
pdf website
"MyDJ: Sensing Food Intakes with an Attachable on Your Eyeglass Frame"
Jaemin Shin, Seungjoo Lee, Taesik Gong, Hyungjun Yoon, Hyunchul Roh, Andrea Bianchi, and Sung-Ju Lee
ACM CHI Conference on Human Factors in Computing Systems 2022, New Orleans, LA, USA.
pdf website video Honorable Mention Award

Honors

Best Paper Honorable Mention

ACM CHI 2022; Awarded for the top 5% of all submissions

Dean's List

KAIST, Spring 2019; Awarded to the top 3% students in College of Engineering

Education

 
 
 
 
 
Ph.D. in Electrical Engineering, KAIST, Republic of Korea (Advisor Prof. Sung-Ju Lee)
Mar 2022 – Present
 
 
 
 
 
Visiting researcher in Computer Science, NTU, Singapore (Advisor Prof. Mo Li)
Sep 2022 – Present
 
 
 
 
 
M.S. in Computer Science, KAIST, Republic of Korea (Advisor Prof. Sung-Ju Lee)
Mar 2020 – Feb 2021
 
 
 
 
 
B.S. in Computer Science, KAIST, Republic of Korea (Cum Laude)
Mar 2015 – Feb 2020

Patents

"Reinforcement Learning for Ad-hoc Routing Using Pre-defined Mobility"

Sung-Ju Lee, Taesik Gong, Hyungjun Yoon, Taeckyung Lee, Jaeha Ahn
Korea Patent; Filing date: 2022.03.21, No.10-2022-0034824