Publications

2024

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    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
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    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

2023

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    Scalable Robust Multi-Agent Reinforcement Learning for Model Uncertainty
    Younkyung Jwa, Minseon Gwak, Jiin Kwak, Chang Wook Ahn, and PooGyeon Park
    In 2023 62nd IEEE Conference on Decision and Control (CDC), Dec 2023
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    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

2022

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    Frequency-Domain Data Augmentation of Vibration Data for Fault Diagnosis using Deep Neural Networks
    Minseon Gwak, Seunghyun Ryu, Yongbeom Park, Hyeon-Woo Na, and PooGyeon Park
    In 2022 22nd International Conference on Control, Automation and Systems (ICCAS), Nov 2022

2021

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    A filtered-x scheduled step-size active noise cancellation algorithm considering implementation
    Taesu Park, Minseon Gwak, and PooGyeon Park
    In 2021 21st International Conference on Control, Automation and Systems (ICCAS), Nov 2021

2020

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    Active noise control algorithm robust to noisy inputs and measurement impulsive noises
    Taesu Park, Minsu Kim, Minseon Gwak, Taesung Cho, and PooGyeon Park
    In 2020 20th International Conference on Control, Automation and Systems (ICCAS), Nov 2020