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Byunggook Na
Byunggook Na
Samsung Advanced Institute of Technology
Verified email at samsung.com
Title
Cited by
Cited by
Year
Spiking-yolo: spiking neural network for energy-efficient object detection
S Kim, S Park, B Na, S Yoon
Proceedings of the AAAI conference on artificial intelligence 34 (07), 11270 …, 2020
3072020
DNA-level splice junction prediction using deep recurrent neural networks
B Lee, T Lee, B Na, S Yoon
arXiv preprint arXiv:1512.05135, 2015
542015
Autosnn: Towards energy-efficient spiking neural networks
B Na, J Mok, S Park, D Lee, H Choe, S Yoon
International Conference on Machine Learning, 16253-16269, 2022
462022
AdvRush: Searching for adversarially robust neural architectures
J Mok, B Na, H Choe, S Yoon
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
332021
Spiking-yolo: Spiking neural network for real-time object detection
S Kim, S Park, B Na, S Yoon
arXiv preprint arXiv:1903.06530 1, 2019
312019
Accelerating neural architecture search via proxy data
B Na, J Mok, H Choe, S Yoon
arXiv preprint arXiv:2106.04784, 2021
172021
Privacy-preserving deep sequential model with matrix homomorphic encryption
J Jang, Y Lee, A Kim, B Na, D Yhee, B Lee, JH Cheon, S Yoon
Proceedings of the 2022 ACM on Asia Conference on Computer and …, 2022
122022
Towards fast and accurate object detection in bio-inspired spiking neural networks through Bayesian optimization
S Kim, S Park, B Na, J Kim, S Yoon
IEEE Access 9, 2633-2643, 2020
122020
Demystifying the neural tangent kernel from a practical perspective: Can it be trusted for neural architecture search without training?
J Mok, B Na, JH Kim, D Han, S Yoon
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
112022
Memory-augmented neural networks on FPGA for real-time and energy-efficient question answering
S Park, J Jang, S Kim, B Na, S Yoon
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 29 (1), 162-175, 2020
52020
Ultrafast prediction of somatic structural variations by filtering out reads matched to pan-genome k-mer sets
J Sohn, MH Choi, D Yi, VA Menon, YJ Kim, J Lee, JW Park, S Kyung, ...
Nature Biomedical Engineering 7 (7), 853-866, 2023
32023
Scalable Smartphone Cluster for Deep Learning
B Na, J Jang, S Park, S Kim, J Kim, MS Jeong, KC Kim, S Heo, Y Kim, ...
arXiv preprint arXiv:2110.12172, 2021
22021
Personalized face authentication based on few-shot meta-learning
C Shin, J Lee, B Na, S Yoon
2021 IEEE International Conference on Image Processing (ICIP), 3897-3901, 2021
22021
Variance-stationary differentiable NAS
H Choe, B Na, J Mok, S Yoon
architecture 3 (10), 16-20, 2021
22021
Ultra-fast Prediction of Somatic Structural Variations by Reduced Read Mapping via Pan-Genome k-mer Sets
MH Choi, J Sohn, D Yi, AV Menon, YJ Kim, S Kyung, SH Shin, B Na, ...
bioRxiv, 2020.10. 25.354456, 2020
22020
An Applicability Study on Parallel Computing for webOS-based Smart TV
Y Jeon, D Koo, B Na, S Yoon
Proceedings of the Korea Information Processing Society Conference, 336-339, 2014
12014
Benchmark of Machine Learning Force Fields for Semiconductor Simulations: Datasets, Metrics, and Comparative Analysis
G Kim, B Na, G Kim, H Cho, S Kang, HS Lee, S Choi, H Kim, S Lee, Y Kim
Advances in Neural Information Processing Systems 36, 2024
2024
AIVariant: a deep learning-based somatic variant detector for highly contaminated tumor samples
H Jeon, J Ahn, B Na, S Hong, L Sael, S Kim, S Yoon, D Baek
Experimental & Molecular Medicine 55 (8), 1734-1742, 2023
2023
Notice of Retraction: E2V-SDE: From Asynchronous Events to Fast and Continuous Video Reconstruction via Neural Stochastic Differential Equations
J Kim, DJ Lee, B Na, S Park, J Jo, S Yoon
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2022
2022
E2V-SDE: From Asynchronous Events to Fast and Continuous Video Reconstruction via Neural Stochastic Differential Equations
J Kim, DJ Lee, B Na, S Park, J Jo, S Yoon
arXiv preprint arXiv:2206.07578, 2022
2022
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