Seonghwan Park

I am a research assistant at Computational Optimization Lab at POSTECH, advised by Prof. Namhoon Lee.

My research interests lie in improving the efficiency and robustness of the models through the lens of optimization. I am also keenly interested in the training of multi-modal foundation models.

💡 I’m currently seeking new roles related to the above research areas. I’m also eager to explore vision and robotics and open to learning in these fields. If my interests align with yours, feel free to reach out via email.

Email / Google Scholar / LinkedIn

Publications

(Tentative Title) Efficient Out-of-Distribution Detection Method
Seonghwan Park, Hyunji Jung, Dongyeop Lee, Namhoon Lee
To be submitted to CVPR 2026

An Analysis of Concept Bottleneck Models: Measuring, Understanding, and Mitigating the Impact of Noisy Annotations
Seonghwan Park, Jueun Mun, Donghyun Oh, Namhoon Lee
NeurIPS, 2025

OAIG: Object-Centric Visual Prompting for Vision-Language Models
Jaehyeon Jeong, Seonghwan Park, Namhoon Lee
Conference of Korean Artificial Intelligence Association (CKAIA), 2025
Best Paper Finalist Award

ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language Models
Seonghwan Park, Jaehyeon Jeong, Yongjun Kim, Jaeho Lee, Namhoon Lee
ICLR, 2025

FedFwd: Federated Learning without Backpropagation
Seonghwan Park, Dahun Shin, Jinseok Chung, Namhoon Lee
ICML Workshop on Federated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities, 2023

On the Effectiveness of Sharpness-Aware Minimization with Large Mini-batches
Jinseok Chung, Seonghwan Park, Jaeho Lee, Namhoon Lee
ICML Workshop on High-dimensional Learning Dynamics, 2023

Education

Pohang University of Science and Technology (POSTECH) Master of Science in Artificial Intelligence, advised by Professor Namhoon Lee Total GPA of 3.9 / 4.0 (4.0 / 4.3)	Mar. 2023 – Aug. 2025 Pohang, Korea
Hanyang University Bachelor of Science in Computer Science and Engineering Total GPA of 3.86 / 4.0 (4.12 / 4.5)	Mar. 2017 – Feb. 2023 Seoul, Korea

Work Experience

Research Assistant Computational Optimization Lab, POSTECH Research Area: Optimization, Multi-modal Foundation Models Supervisor: Prof. Namhoon Lee	Aug. 2025 - Dec. 2025
Samsung Research Project Research Area: Multi-modal Foundation Models for Anomaly Detection	Jun. 2025 - Nov. 2025
Samsung Advanced Institute of Technology (SAIT) Project Research Area: Multi-modal Foundation Models, Visual Prompt Tuning	Jun. 2024 - May. 2025
Undergraduate Research Intern Machine Learning Lab, Hanyang University Research Area: Large-scale Language Models Supervisor: Prof. Eun-Sol Kim	Jan. 2022 – Dec. 2022

Teaching Experience

POSTECH Teaching Assistant Topic: Introduction to Artificial Intelligence	Sep. 2024 – Dec. 2024
POSCO AI Fellowship Teaching Assistant Topic: Deep Learning	May 2023 – Jun. 2023

Honors and Awards

CKAIA Best Paper Finalist Award	2025
HYU Academic Excellence Award (within top 3%)	2022

Service

Reviewers ICLR TMLR	2026
Republic of Korea Air Force (ROKAF), Logistics Command Served as Sergeant	Oct. 2018 – Aug. 2020

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