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Seok Hyeon Ha

Seokhyeon Ha

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2020 – today

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2024
[c2]
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  - conf/aaai/HaJ024
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Seokhyeon Ha, Sunbeom Jeong, Jungwoo Lee:
Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability. AAAI 2024: 12261-12269
2023
[j3]
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  - journals/access/HaKL23
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Seokhyeon Ha, Yeongmo Kim, Jungwoo Lee:
MINA: Multi-Input Network Augmentation for Enhancing Tiny Deep Learning. IEEE Access 11: 106289-106298 (2023)
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  - journals/ict-express/MunH023
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Jiwoo Mun, Seokhyeon Ha, Jungwoo Lee:
DE-DARTS: Neural architecture search with dynamic exploration. ICT Express 9(3): 379-384 (2023)
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Seokhyeon Ha, Youngseok Yoon, Jungwoo Lee:
Meta-ensemble learning with a multi-headed model for few-shot problems. ICT Express 9(5): 909-914 (2023)
[i3]
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  - journals/corr/abs-2305-08878
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Seungyub Han, Yeongmo Kim, Seokhyeon Ha, Jungwoo Lee, Seunghong Choi:
Learning to Learn Unlearned Feature for Brain Tumor Segmentation. CoRR abs/2305.08878 (2023)
[i2]
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  - journals/corr/abs-2308-07728
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Seokhyeon Ha, Sunbeom Jung, Jungwoo Lee:
Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability. CoRR abs/2308.07728 (2023)
2020
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Jiwoo Mun, Seok Hyeon Ha, Jungwoo Lee:
Automotive Radar Signal Interference Mitigation Using RNN with Self Attention. ICASSP 2020: 3802-3806

2010 – 2019

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2018
[i1]
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  - journals/corr/abs-1812-03285
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Chanwoo Park, Jae-Myung Kim, Seok Hyeon Ha, Jungwoo Lee:
Sampling-based Bayesian Inference with gradient uncertainty. CoRR abs/1812.03285 (2018)

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