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Author

Byunggook Na

Observed names: Na, Byunggook, Na, Byungook
ORCID: 0000-0002-0459-4921
Observed ORCID: 0000-0002-0459-4921
OpenAlex ID: A5058165461
Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection
2020 · Seijoon Kim, Seongsik Park, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 482
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T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding
2020 · Seongsik Park, Seijoon Kim, et al. · ACM/IEEE Design Automation Conference (DAC) · 121
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AutoSNN: Towards Energy-Efficient Spiking Neural Networks
2022 · Na, Byunggook, Mok, Jisoo, et al. · arXiv (Cornell University) · 52
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AdvRush: Searching for Adversarially Robust Neural Architectures
2021 · Jisoo Mok, Byunggook Na, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 51
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DNA-Level Splice Junction Prediction using Deep Recurrent Neural Networks
2015 · Lee, Byunghan, Lee, Taehoon, et al. · arXiv (Cornell University) · 38
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Towards Fast and Accurate Object Detection in Bio-Inspired Spiking Neural Networks Through Bayesian Optimization
2020 · Seijoon Kim, Seongsik Park, et al. · IEEE Access · 31
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Privacy-Preserving Deep Sequential Model with Matrix Homomorphic Encryption
2022 · Jaehee Jang, Younho Lee, et al. · ACM Asia Conference on Computer and Communications Security (ASIA CCS) · 29
Spiking-YOLO: Spiking Neural Network for Real-time Object Detection.
2019 · Sei Joon Kim, Seongsik Park, et al. · 26
Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training?
2022 · Jisoo Mok, Byunggook Na, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 19
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Accelerating Neural Architecture Search via Proxy Data
2021 · Byunggook Na, Jisoo Mok, et al. · International Joint Conference on Artificial Intelligence · 16
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Ultrafast prediction of somatic structural variations by filtering out reads matched to pan-genome k-mer sets
2022 · Jang-il Sohn, Min-Hak Choi, et al. · Nature Biomedical Engineering · 8
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Memory-Augmented Neural Networks on FPGA for Real-Time and Energy-Efficient Question Answering
2020 · Seongsik Park, Jaehee Jang, et al. · IEEE Transactions on Very Large Scale Integration (VLSI) Systems · 5
AIVariant: a deep learning-based somatic variant detector for highly contaminated tumor samples
2023 · Hyeonseong Jeon, Junhak Ahn, et al. · Experimental & Molecular Medicine · 4
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Personalized Face Authentication Based On Few-Shot Meta-Learning
2021 · Chaehun Shin, Jangho Lee, et al. · Proceedings - International Conference on Image Processing · 2
Variance-stationary Differentiable NAS
2021 · Hyeokjun Choe, Byunggook Na, et al. · British Machine Vision Conference (BMVC) · 2
Scalable Smartphone Cluster for Deep Learning
2021 · Na, Byunggook, Jang, Jaehee, et al. · arXiv (Cornell University) · 1
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Author Correction: AIVariant: a deep learning-based somatic variant detector for highly contaminated tumor samples
2025 · Hyeonseong Jeon, Junhak Ahn, et al. · Experimental & Molecular Medicine
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Benchmark of Machine Learning Force Fields for Semiconductor Simulations: Datasets, Metrics, and Comparative Analysis
2023 · Geonu Kim, Byunggook Na, et al. · neural information processing systems
Notice of Retraction: E2V-SDE: From Asynchronous Events to Fast and Continuous Video Reconstruction via Neural Stochastic Differential Equations
2022 · Jongwan Kim, DongJin Lee, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
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Ultra-fast Prediction of Somatic Structural Variations by Reduced Read Mapping via Pan-Genome k-mer Sets
2022 · Nam, Jin-Wu, Sohn, Jang-Il, et al. · Figshare
Optimization for Detection of Somatic Mutations Based on MuTect
2019 · Byunggook Na, Sungroh Yoon · 한국통신학회논문지
Homomorphic Parameter Compression for Distributed Deep Learning Training
2017 · Jang, Jaehee, Na, Byungook, et al. · arXiv (Cornell University)
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Works count: 34
Citation count: 887
H-index: 10
I10-index: 10
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