Sungmin Lee 이성민

Sungmin Lee, a Ph.D. Candidate at

Embedded Intelligent Systems (EIS) Lab

Department of Integrated Technology

College of Computing, Yonsei University

Also am/was a Visiting Researcher at

Keio University

University of Michigan

Contact

i.am.sungmin.lee [at] yonsei.ac.kr
i.am.sungmin.lee [at] gmail.com

News

Jan, 2025 — I am going to visit Professor Pei Zhang's group at University of Michigan as a visiting researcher from Feb 2025 to July 2025!

Dec, 2024 — I am going to visit JNLab at Keio University as a visiting researcher during Dec 2025!

Dec, 2024 — My work with Kichang on designing a light-weight classifier using gZip for extremely constraint platforms has been accepted to ICT Express!

Jun, 2024 — My work with Kichang on designing an ultra-lightweight time-series classification model with gZip compression received the Best Poster Runner-Up Award from ACM MobiSys 2024!

Bio

Sungmin is a Ph.D. candidate advised by Prof. JeongGil Ko.

Sungmin received his B.Eng. in Integrated Technology from Yonsei University (2020) and worked as a visiting researcher inKeio University (2024) and University of Michigan (2025).

Sungmin's research interest spans vision-based real-time 3D environment understanding, embedded sensing and time-series analysis.

Former affiliations

Education

Ph.D. student, 2021-Present, School of Integrated Technology, Yonsei University, Seoul, Korea
- Advisor: Prof. JeongGil Ko
B.Eng., 2018-2020, School of Integrated Technology, Yonsei University, Seoul, Korea
- One year early graduation

Publications

Under Review/Revision

Conferences/Workshops
- [C2, 2024] Yujin Shin*, Kichang Lee*, Sungmin Lee, You Rim Choi, Hyung-Sin Kim, JeongGil Ko. "Effective Heterogeneous Federated Learning via Efficient Hypernetwork-based Weight Generation", ACM Conference on Embedded Networked Sensor Systems (ACM SenSys) 2024, Hangzhou, China. (Acceptance Rate: 18.5%; NRF-listed Top CS Conference) [pdf]
- [C1, 2023] JaeYeon Park, Kichang Lee, Sungmin Lee, Mi Zhang, JeongGil Ko. "AttFL: A Personalized Federated Learning Framework for Time-series Mobile and Embedded Sensor Data Processing", ACM International Joint Conference on Pervasive and Ubiquitous Computing (ACM UbiComp) 2023. Cancun, Mexico. (NRF-listed Top CS Conference) [pdf]

Journals
- [J4, 2024] Sungmin Lee*, Kichang Lee*, JaeYeon Park, JeongGil Ko. "GMT: Gzip-based Memory-efficient Time-series Classification", ICT Express 2024

[J3, 2023] JaeYeon Park, Kichang Lee, Sungmin Lee, Mi Zhang, JeongGil Ko. "AttFL: A Personalized Federated Learning Framework for Time-series Mobile and Embedded Sensor Data Processing", Proceedings of the ACM (PACM) on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 2023 [pdf]
[J2, 2023] Sungmin Lee*, Hyungi Kim*, Kyung Won Lee, Eun Su Kim, Hyung-Mo Kim, Hyungsoon Im, Hyun C Yoon, JeongGil Ko, Eunha Kim. "Indolizine-based fluorescent compounds array for noninvasive monitoring of glucose in bio-fluids using on-device machine learning", Dyes and Pigments 2023 (JCR IF Top 10%) [pdf]
[J1, 2021] Sungmin Lee*, Hyungi Kim*, Jun Sik Min, Eunsu Kim, Junwon Choi, JeongGil Ko, Eunha Kim. "Fluorescent sensor array for high-precision pH classification with machine learning-supported mobile devices". Dyes And Pigments 2021 (JCR IF Top 5%) [pdf]

Posters/Demos
- [P1, 2024] Sungmin Lee*, Kichang Lee*, JeongGil Ko. "A Memory Efficient Parameter-free Time-series Classification via gzip". ACM MobiSys 2024, Tokyo, Japan. (Best Poster Runner-up Award) [pdf]

* Equal contributions

Awards and Honors

Visiting Researcher, University of Michigan — 2025
Visiting Researcher, Keio University — Dec, 2024
Best Poster Runner-up Award, ACM Mobisys 2024
Best Project Award, Inter-university Alliance for Furture vehicular Technology(I4FT), Yonsei University — Dec, 2023
Best Project Award, Inter-university Alliance for Furture vehicular Technology(I4FT), Yonsei University — Jun, 2023
Full Scholarship, School of Integrated Technology, Yonsei University — 2018-2020

Project Experiences

Developing Small-scale Language Models for Personalized and Interactive HVAC System Management

- Duration: 2024.04 - 2025.04
- Role: Lead Researcher
- Partners:
  - LG Electronics (Home Appliances & Air Solutions), Korea
- Experiences:
  - Time-series DB
  - LLM engineering
  - Query autogeneration

Developing Easy-to-Use Image Processing and Statistical Tool for B cell Analysis

- Duration: 2024.02 - 2024.06
- Role: Lead Developer
- Partners:
  - College of Medicine, Yonsei University (Prof. Kihyuck Kwak)
- Experiences:
  - Image processing and statical analysis
  - UI/UX design
  - Windows GUI programming

Usage Pattern-based Virtual Clustering and Utility Optimization Techniques for Building-scale Air Solutions

- Duration: 2023.05 - 2023.12
- Role: Lead Researcher
- Partners:
  - LG Electronics (Home Appliances & Air Solutions), Korea
- Experiences:
  - Self-supervised clustering on unlabeled time-series data
  - HVAC zone clustering

Smart, Attack-Resistant Internet of Things Networks (STACK)

- Duration: 2021.03 - 2024.02
- Role: Researcher
- Partners:
  - Korea, Republic of
    - KETI, SNU, Security Platform
  - Sweden
    - RISE, Husqvarna, LumenRadio, ASSA ABLOY
  - Romania
    - BEIA
- Experiences:
  - Building AI model for Flooding Attack Detection in RPL networks
  - Implementing FDTLS with Contiki-NG
  - Factory-scale real-world sensor data analysis

Low-latency 3D XR Object Transmission Platform Development for Vehicular HUDs

- Duration: 2021.03 - 2023.02
- Role: Researcher
- Partners:
  - EPITONE, Korea
- Experiences:
  - 3D Pointcloud Compression
  - Visual-based Pose refinement

Teaching Experiences

Software Project (Undergraduate), Yonsei Univ— Fall 2023, 2024
Advanced Algorithms (Undergraduate), Yonsei Univ— Fall 2021
Advanced Programming (Undergraduate), Yonsei Univ — Spring 2021

Academic Services

Student Volunteer Chair
- ACM MobiSys 2024
Reviewer (Selected)
- ACM CHI 2025
- ACM IMWUT 2023

Talks & Unpublished Posters and Demos

[T] 7th A3 Foresight Workshop, Kyoto, Japan. — Feb, 2024
[P] KICS Winter conference, Korea — Feb, 2024
[T, D] STACK final project review, Sweden — Nov, 2023
[T, P] Inter-university Alliance for Furture vehicular Technology(I4FT), Yonsei University, Korea — Dec, 2023
[T, P] Inter-university Alliance for Furture vehicular Technology(I4FT), Yonsei University, Korea — Jun, 2023

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