Byunggook Na

According to our database, Byunggook Na authored at least 16 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Benchmark of Machine Learning Force Fields for Semiconductor Simulations: Datasets, Metrics, and Comparative Analysis.

Geonu Kim, Byunggook Na, Gunhee Kim, Hyuntae Cho, Seungjin Kang, Hee Sun Lee, Saerom Choi, Heejae Kim, Seungwon Lee, Yongdeok Kim

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

AutoSNN: Towards Energy-Efficient Spiking Neural Networks.

Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon

Proceedings of the International Conference on Machine Learning, 2022

Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training?

Jisoo Mok, Byunggook Na, Ji-Hoon Kim, Dongyoon Han, Sungroh Yoon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Privacy-Preserving Deep Sequential Model with Matrix Homomorphic Encryption.

Jaehee Jang, Younho Lee, Andrey Kim, Byunggook Na, Donggeon Yhee, Byounghan Lee, Jung Hee Cheon, Sungroh Yoon

Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022

2021

Memory-Augmented Neural Networks on FPGA for Real-Time and Energy-Efficient Question Answering.

Seongsik Park, Jaehee Jang, Sei Joon Kim, Byunggook Na, Sungroh Yoon

IEEE Trans. Very Large Scale Integr. Syst., 2021

Scalable Smartphone Cluster for Deep Learning.

Byunggook Na, Jaehee Jang, Seongsik Park, Sei Joon Kim, Joonoo Kim, Moon-Sik Jeong, Kwang-Choon Kim, Seon Heo, Yoonsang Kim, Sungroh Yoon

CoRR, 2021

Towards Fast and Accurate Object Detection in Bio-Inspired Spiking Neural Networks Through Bayesian Optimization.

Sei Joon Kim, Seongsik Park, Byunggook Na, Jongwan Kim, Sungroh Yoon

IEEE Access, 2021

Accelerating Neural Architecture Search via Proxy Data.

Byunggook Na, Jisoo Mok, Hyeokjun Choe, Sungroh Yoon

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Personalized Face Authentication Based On Few-Shot Meta-Learning.

Chaehun Shin, Jangho Lee, Byunggook Na, Sungroh Yoon

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

AdvRush: Searching for Adversarially Robust Neural Architectures.

Jisoo Mok, Byunggook Na, Hyeokjun Choe, Sungroh Yoon

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Variance-stationary Differentiable NAS.

Hyeokjun Choe, Byunggook Na, Jisoo Mok, Sungroh Yoon

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding.

Seongsik Park, Sei Joon Kim, Byunggook Na, Sungroh Yoon

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection.

Sei Joon Kim, Seongsik Park, Byunggook Na, Sungroh Yoon

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Spiking-YOLO: Spiking Neural Network for Real-time Object Detection.

Sei Joon Kim, Seongsik Park, Byunggook Na, Sungroh Yoon

CoRR, 2019

2017

Homomorphic Parameter Compression for Distributed Deep Learning Training.

Jaehee Jang, Byunggook Na, Sungroh Yoon

CoRR, 2017

2015

DNA-Level Splice Junction Prediction using Deep Recurrent Neural Networks.

Byunghan Lee, Taehoon Lee, Byunggook Na, Sungroh Yoon

CoRR, 2015