Minseon Gwak

Signal Processing and Control Lab (SPaC) minseon25@postech.ac.kr

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My name is Minseon Gwak and I am a Ph.D. student with the Department of Electrical Engineering at Pohang University of Science and Technology (POSTECH), advised by Prof. PooGyeon Park. I work on deep state space models and efficient long sequence modeling, with a focus on the intersection of control theory and deep learning.

During my Ph.D., I have published research papers in leading conferences and journals, including a main conference paper at NeurIPS 2024, and a regular journal paper in IEEE TII, and was honored with the Best Research of the Year Award from POSTECH EE in both 2023 and 2024. I also spent 6 months as a visiting scholar at Carnegie Mellon University, fully supported by the Korean government, deepening my foundation in deep learning. Prior to starting my Ph.D., I received the Best Capstone Project Award from POSTECH EE in 2018.

Selected publications

  1. research_summary_neurips.png
    Layer-Adaptive State Pruning for Deep State Space Models
    Minseon Gwak, Seongrok Moon, Joohwan Ko, and PooGyeon Park
    In Neural Information Processing Systems (NeurIPS), Dec 2024
    arXiv HTML Video Code
  2. research_summary_scirep.png
    Attention Guided Jaw Bone Lesion Diagnosis in Panoramic Radiography Using Minimal Labeling Effort
    Minseon Gwak, Jong Pil Yun, Jiyun Lee, Sang Sun Han, PooGyeon Park, and Chena Lee
    Scientific Reports, Feb 2024
    DOI Code
  3. research_summary_ieeetii.png
    Robust and explainable fault diagnosis with power-perturbation-based decision boundary analysis of deep learning models
    Minseon Gwak, Min Su Kim, Jong Pil Yun, and PooGyeon Park
    IEEE Transactions on Industrial Informatics, May 2023
    DOI