Publications

2026

1. An Interpretable and Adaptable Framework Based on Generalized State Space Networks for Bearing Fault Diagnosis Under Sampling Rate Shift

   Minseon Gwak^*, KyungSoo Kim^*, Yelim Kim, Jeongmin Park, and PooGyeon Park^†

   IEEE Transactions on Instrumentation and Measurement, Aug 2026
2. Parameter-modulation state space model for quadrotor control in windy environments

   KyungSoo Kim, Minseon Gwak, Minkyu Cha, Doojin Choi, and PooGyeon Park^†

   Engineering Applications of Artificial Intelligence, Oct 2026
3. Recovering Selectivity with LTI State Space Operators for Portable Long-Context Inference

   Minseon Gwak, N Benjamin Erichson, and PooGyeon Park^†

   In International Conference on Machine Learning (ICML) Workshop on AdaptFM: Resource-Adaptive Foundation Model Inference, Jul 2026
4. ConvT3: Structured State Kernels for Convolutional State Space Models

   Jaeyoung Hong^*, YunYoung Choi^*, Joohwan Ko, and Minseon Gwak^†

   In International Conference on Learning Representations (ICLR), Apr 2026

2025

1. Reinforced intelligence through active interaction in real world: A survey on embodied AI

   Wookyong Kwon, Seungmin Baek, Jongchan Baek, Woosang Shin, Minseon Gwak, Poogyeon Park, and Sangmoon Lee^†

   International Journal of Control, Automation and Systems, Jun 2025

2024

1. 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
2. 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

1. 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
2. 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