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

Oct, 2025 — I am attending IEEE ISMAR 2025 in Daejeon, Korea to present my work, Hierarchical Localization and Tracking for In-Vehicle Mixed Reality.

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

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

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 in Keio University (2024) and University of Michigan (2025).

Sungmin's research interest spans environment and context understanding via mobile sensor and computing devices, time-series sensor data analysis, domain-specific language models (LMs).

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
- [R1, 2025] Sungmin Lee, Minju Kang, Joonhee Lee, Seungyong Lee, Dongju Kim, Jingi Hong, Jun Shin, Pei Zhang, JeongGil Ko. "Anonymized Paper", ACM SenSys 2026 (Under Review)

Conferences/Workshops
- [C6, 2026] Kichang Lee, Sungmin Lee, Jaeho Jin, JeongGil Ko. "Verifiable Dropout: Turning Randomness into a Verifiable Claim", ACM Web Conference 2026 Workshop on Zero-knowledge proof And Blockchain for WEB 4.0 (ZABAPAD) 2026, Dubai, UAE.
- [C5, 2026] Gyeongmin Han, Sungmin Lee, JoonHee Lee, Kichang Lee, JeongGil Ko. "Statistical Analysis of 12V Power Load Uncertainty Using Conditional Probability for SDV Energy Management", ACM Web Conference 2026 Workshop on Zero-knowledge proof And Blockchain for WEB 4.0 (ZABAPAD) 2026, Dubai, UAE.
- [C4, 2026] Sungmin Lee, Kichang Lee, Gyeongmin Han, JeongGil Ko. "Spatial Discretization for Fine-Grain Zone Checks with STARKs", ACM Web Conference 2026 Workshop on Zero-knowledge proof And Blockchain for WEB 4.0 (ZABAPAD) 2026, Dubai, UAE. (Spotlight)
- [C3, 2026] Minju Kang, Jaeho Jin, Sungmin Lee, JeongGil Ko. "Foreground Graphics-Aware Runtime DNN Scheduling on Mobile GPUs", IEEE International Conference on Pervasive Computing and Communications (IEEE PerCom) 2026, Pisa, Italy. (Acceptance Rate: 15.62%; NRF-listed Top CS Conference)
- [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 [pdf]

[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
- [P2, 2025] Daisuke Goto, Sungmin Lee*, Akira Tsuge*, Shuri Marui, Soko Aoki, JeongGil Ko, Tadashi Okoshi. "Hierarchical Localization and Tracking for In-Vehicle Mixed Reality". IEEE ISMAR 2025, Daejeon, Korea
- [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

Multi-modal Time-series Sensor Data Processing for Farm-scale Pig Activity Monitoring

- Duration: 2025 - 2026
- Tasks: Data processing, inspection, tool developement
- Partners:
  - University of Michigan, US
  - University of Illinois Urbana-Champaign, US

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

Selected Academic Services

Student Volunteer Chair
- ACM MobiSys 2024
Reviewer
- IEEE TMC 2025
- ACM CHI 2025
- ACM IMWUT 2023

Talks & Unpublished Posters and Demos

[T] Invited talk, KAIST, Korea — Oct, 2025
[T] Invited talk, Dankook University, Korea — Aug, 2025
[T] 7th A3 Foresight Workshop, Kyoto, Japan. — Feb, 2024
[P] KICS Winter conference, — 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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