About Me

I am a Ph.D. graduate from KAIST Computer Science, advised by Prof. Sung-Ju Lee. I have also closely collaborated with Prof. Yunxin Liu. I received my B.S. degree in Computer Science from KAIST in 2018.

I research on the intersection of Privacy-Preserving ML - Federated Learning (FL) and on-device NLP, uncovering novel applied machine learning technologies on smartphones and wearables. My research also focuses on promoting efficient AI deployment in practice via system-based algorithmic approaches.

Here is my resume.

Work Experiences

Cisco Research, Software Engineer Intern
- Mar. 2023 - Aug. 2023
- Mentor: Myungjin Lee
Microsoft Research, Research Intern
- Dec. 2020 - Jun. 2021
- Mentors: Yuanchun Li and Yunxin Liu
Oracle, Software Engineer Intern
- Jun. 2017 - Aug. 2017
- Mentors: Jungnam Lee and Chris Lee

Education

Ph.D. in Computer Science, KAIST
- Mar. 2018 - Aug. 2024
- Networking & Mobile Systems Lab (Advisor: Prof. Sung-Ju Lee)
B.S. in Computer Science, KAIST
- Mar. 2014 - Feb. 2018

Publications

Preprints

Time and Resource Efficiency Analysis on Synchronous and Asynchronous Federated Learning

Jaemin Shin et al.

in submission
Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study

G. A. Baumgart, Jaemin Shin, A. Payani, M. Lee, R. R. Kompella

[pdf] [bibtex]

arXiv preprint
Federated Learning with Incomplete Sensing Modalities

A. Orzikulova, J. Kwak, Jaemin Shin, S-J. Lee

[pdf] [bibtex]

arXiv preprint

Conferences and Journals

(FL)²: Overcoming Few Labels in Federated Semi-Supervised Learning

S. Lee, T-L. V. Le, Jaemin Shin, S-J. Lee

[pdf] [bibtex]

NeurIPS 2024
FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated Learning

Jaemin Shin, H. Yoon, S. Lee, S. Park, Y. Liu, J. D. Choi, S-J. Lee

[pdf] [website] [video] [slides] [bibtex]

EMNLP 2023
Flame: Simplifying Topology Extension in Federated Learning

H. Daga, Jaemin Shin, D. Garg, A. Gavrilovska, M. Lee, R. R. Kompella

[pdf] [bibtex]

SoCC 2023
FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients

Jaemin Shin, Y. Li, Y. Liu, and S-J. Lee

[pdf] [website] [video] [code] [slides] [bibtex]

MobiSys 2022
MyDJ: Sensing Food Intakes with an Attachable on Your Eyeglass Frame

Jaemin Shin, S. Lee, T. Gong, H. Yoon, H. Roh, A. Bianchi, and S-J. Lee

[pdf] [website] [video] [slides] [bibtex]

CHI 2022 Best Paper Honorable Mention Award 🏆
Use MU-MIMO at Your Own Risk - Why We Don't Get Gb/s Wi-Fi

H. Choi, T. Gong, J. Kim, Jaemin Shin, and S-J. Lee

[pdf] [bibtex]

Ad Hoc Networks 2019

Posters, Demos, and Workshop Papers

Demo: Accurate Eating Detection on a Daily Wearable Necklace

Jaemin Shin, S. Lee, and S-J. Lee

[pdf] [bibtex]

MobiSys 2019
Poster: Dissecting 802.11ac Performance-Why You Should Turn Off MU-MIMO

H. Choi, T. Gong, J. Kim, Jaemin Shin, and S-J. Lee

[pdf] [bibtex]

MobiSys 2019
Considerations on Deploying High-Performance Container-based NFV

*D. Hong, *Jaemin Shin, S. Woo, and S. Moon (* equal contributions)

[pdf] [bibtex]

CAN 2017 Best Paper Award 🏆

Honors and Awards

KAIST Breakthroughs, 2024 Spring
Naver Ph.D. Fellowship, 2022
Best Paper Honorable Mention Award, ACM CHI, 2022
Best Paper Award, CAN Workshop co-located with ACM CoNEXT, 2017

Professional Services

Reviewer, ACM IMWUT/UbiComp 2020 - 2023
Reviewer, IEEE TMC 2018, 2022 - 2023
Reviewer, IEEE TNNLS 2024
Reviewer, ACM CHI LBW 2024

Miscellaneous

I love playing double reed instruments. I have performed in 20+ amateur orchestra performances and am still looking for opportunities to play. :)