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.

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

(Tentative Title) Visual Prompting Method 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

Knowledge Prompting Generation for Commonsense Reasoning with Large-Scale Language Models
Jeong-Yong Shim*, Seonghwan Park*, Eun-Sol Kim
Korea Software Congress (KSC), 2022


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
Aug. 2025 - Dec. 2025
SAIT Business Trip
  • Research Area: Multi-modal Foundation Models, Prompt Tuning
Jul. 2024
Undergraduate Research Intern
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 and Leadership
Republic of Korea Air Force (ROKAF), Logistics Command
  • Served as Sergeant
Oct. 2018 – Aug. 2020


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