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2020 – today
- 2023
[c10]Geonu Kim, Byunggook Na, Gunhee Kim, Hyuntae Cho, Seungjin Kang, Hee Sun Lee, Saerom Choi, Heejae Kim, Seungwon Lee, Yongdeok Kim:
Benchmark of Machine Learning Force Fields for Semiconductor Simulations: Datasets, Metrics, and Comparative Analysis. NeurIPS 2023- 2022
- [c9]Jaehee Jang, Younho Lee
, Andrey Kim, Byunggook Na, Donggeon Yhee, Byounghan Lee, Jung Hee Cheon, Sungroh Yoon:
Privacy-Preserving Deep Sequential Model with Matrix Homomorphic Encryption. AsiaCCS 2022: 377-391 - [c8]Jisoo Mok, Byunggook Na, Ji-Hoon Kim, Dongyoon Han, Sungroh Yoon:
Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training? CVPR 2022: 11851-11860 - [c7]Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon:
AutoSNN: Towards Energy-Efficient Spiking Neural Networks. ICML 2022: 16253-16269 - [i9]Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon:
AutoSNN: Towards Energy-Efficient Spiking Neural Networks. CoRR abs/2201.12738 (2022) - [i8]Jisoo Mok, Byunggook Na, Ji-Hoon Kim, Dongyoon Han, Sungroh Yoon:
Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training? CoRR abs/2203.14577 (2022) - 2021
- [j2]Sei Joon Kim, Seongsik Park, Byunggook Na, Jongwan Kim, Sungroh Yoon:
Towards Fast and Accurate Object Detection in Bio-Inspired Spiking Neural Networks Through Bayesian Optimization. IEEE Access 9: 2633-2643 (2021) - [j1]Seongsik Park, Jaehee Jang, Sei Joon Kim, Byunggook Na, Sungroh Yoon:
Memory-Augmented Neural Networks on FPGA for Real-Time and Energy-Efficient Question Answering. IEEE Trans. Very Large Scale Integr. Syst. 29(1): 162-175 (2021) - [c6]Hyeokjun Choe, Byunggook Na, Jisoo Mok, Sungroh Yoon:
Variance-stationary Differentiable NAS. BMVC 2021: 162 - [c5]Jisoo Mok, Byunggook Na, Hyeokjun Choe, Sungroh Yoon:
AdvRush: Searching for Adversarially Robust Neural Architectures. ICCV 2021: 12302-12312 - [c4]Chaehun Shin, Jangho Lee, Byunggook Na, Sungroh Yoon:
Personalized Face Authentication Based On Few-Shot Meta-Learning. ICIP 2021: 3897-3901 - [c3]Byunggook Na, Jisoo Mok, Hyeokjun Choe, Sungroh Yoon:
Accelerating Neural Architecture Search via Proxy Data. IJCAI 2021: 2848-2854 - [i7]Byunggook Na, Jisoo Mok, Hyeokjun Choe, Sungroh Yoon:
Accelerating Neural Architecture Search via Proxy Data. CoRR abs/2106.04784 (2021) - [i6]Jisoo Mok, Byunggook Na, Hyeokjun Choe, Sungroh Yoon:
AdvRush: Searching for Adversarially Robust Neural Architectures. CoRR abs/2108.01289 (2021) - [i5]Byunggook Na, Jaehee Jang, Seongsik Park, Sei Joon Kim, Joonoo Kim, Moon-Sik Jeong, Kwang-Choon Kim, Seon Heo, Yoonsang Kim, Sungroh Yoon:
Scalable Smartphone Cluster for Deep Learning. CoRR abs/2110.12172 (2021) - 2020
- [c2]Sei Joon Kim, Seongsik Park, Byunggook Na, Sungroh Yoon:
Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection. AAAI 2020: 11270-11277 - [c1]Seongsik Park, Sei Joon Kim, Byunggook Na, Sungroh Yoon:
T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding. DAC 2020: 1-6 - [i4]Seongsik Park, Sei Joon Kim, Byunggook Na, Sungroh Yoon:
T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding. CoRR abs/2003.11741 (2020)
2010 – 2019
- 2019
- [i3]Sei Joon Kim, Seongsik Park, Byunggook Na, Sungroh Yoon:
Spiking-YOLO: Spiking Neural Network for Real-time Object Detection. CoRR abs/1903.06530 (2019) - 2017
- [i2]Jaehee Jang, Byunggook Na, Sungroh Yoon:
Homomorphic Parameter Compression for Distributed Deep Learning Training. CoRR abs/1711.10123 (2017) - 2015
- [i1]Byunghan Lee, Taehoon Lee, Byunggook Na, Sungroh Yoon:
DNA-Level Splice Junction Prediction using Deep Recurrent Neural Networks. CoRR abs/1512.05135 (2015)
Coauthor Index
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