Adversarial Attack and Defense Based Hydrangea Classification via Deep Learning: Autoencoder and MobileNet. - Jongwhee Lee; Minjong Cheon (IntelliSys (2), 2022)

Design of a novel Korean learning application for efficient pronunciation correction. - Minjong Cheon; Minseon Kim; Hanseon Joo (CoRR, 2022)

SR-AnoGAN: You Never Detect Alone. Super Resolution in Anomaly Detection (Student Abstract). - Minjong Cheon (AAAI, 2023)

Enhancing AI-CDSS with U-AnoGAN: Tackling data imbalance. - Changbae Mun; Hyodong Ha; Ook Lee; Minjong Cheon (Comput. Methods Programs Biomed., 2024)

Advancing Data-driven Weather Forecasting: Time-Sliding Data Augmentation of ERA5. - Minjong Cheon; Daehyun Kang; Yo-Hwan Choi; Seon-Yu Kang (CoRR, 2024)

KARINA: An Efficient Deep Learning Model for Global Weather Forecast. - Minjong Cheon; Yo-Hwan Choi; Seon-Yu Kang; Yumi Choi; Jeong-Gil Lee; Daehyun Kang (CoRR, 2024)

Kolmogorov-Arnold Network for Satellite Image Classification in Remote Sensing. - Minjong Cheon (CoRR, 2024)

Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Tasks. - Minjong Cheon (CoRR, 2024)

Habaek: High-performance water segmentation through dataset expansion and inductive bias optimization. - Hanseon Joo; Eunji Lee; Minjong Cheon (CoRR, 2024)

Advancing Meteorological Forecasting: AI-based Approach to Synoptic Weather Map Analysis. - Yo-Hwan Choi; Seon-Yu Kang; Minjong Cheon (CoRR, 2024)

Combining KAN with CNN: KonvNeXt's Performance in Remote Sensing and Patent Insights. - Minjong Cheon; Changbae Mun (Remote. Sens., 2024)

MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification. - Minjong Cheon; Changbae Mun (CoRR, 2025)

Bridging KAN and MLP: MJKAN, a Hybrid Architecture with Both Efficiency and Expressiveness. - Hanseon Joo; Hayoung Choi; Ook Lee; Minjong Cheon (CoRR, 2025)

Modernizing CNN-based Weather Forecast Model towards Higher Computational Efficiency. - Minjong Cheon; Eunhan Goo; Su-Hyeon Shin; Muhammad Ahmed; Hyungjun Kim (CoRR, 2025)