Sampling-based Bayesian Inference with gradient uncertainty. - Chanwoo Park; Jae-Myung Kim; Seok Hyeon Ha; Jungwoo Lee 001 (CoRR, 2018)

Automotive Radar Signal Interference Mitigation Using RNN with Self Attention. - Jiwoo Mun; Seok Hyeon Ha; Jungwoo Lee 001 (ICASSP, 2020)

MINA: Multi-Input Network Augmentation for Enhancing Tiny Deep Learning. - Seokhyeon Ha; Yeongmo Kim; Jungwoo Lee 001 (IEEE Access, 2023)

Learning to Learn Unlearned Feature for Brain Tumor Segmentation. - Seungyub Han; Yeongmo Kim; Seokhyeon Ha; Jungwoo Lee 001; Seunghong Choi (CoRR, 2023)

Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability. - Seokhyeon Ha; Sunbeom Jung; Jungwoo Lee 001 (CoRR, 2023)

DE-DARTS: Neural architecture search with dynamic exploration. - Jiwoo Mun; Seokhyeon Ha; Jungwoo Lee 001 (ICT Express, 2023)

Meta-ensemble learning with a multi-headed model for few-shot problems. - Seokhyeon Ha; Youngseok Yoon; Jungwoo Lee 001 (ICT Express, 2023)

Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability. - Seokhyeon Ha; Sunbeom Jeong; Jungwoo Lee 001 (AAAI, 2024)