DNA-Level Splice Junction Prediction using Deep Recurrent Neural Networks. - Byunghan Lee; Taehoon Lee 001; Byunggook Na; Sungroh Yoon (CoRR, 2015)

Homomorphic Parameter Compression for Distributed Deep Learning Training. - Jaehee Jang; Byunggook Na; Sungroh Yoon (CoRR, 2017)

Spiking-YOLO: Spiking Neural Network for Real-time Object Detection. - Sei Joon Kim; Seongsik Park; Byunggook Na; Sungroh Yoon (CoRR, 2019)

Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection. - Sei Joon Kim; Seongsik Park; Byunggook Na; Sungroh Yoon (AAAI, 2020)

T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding. - Seongsik Park; Sei Joon Kim; Byunggook Na; Sungroh Yoon (DAC, 2020)

Variance-stationary Differentiable NAS. - Hyeokjun Choe; Byunggook Na; Jisoo Mok; Sungroh Yoon (BMVC, 2021)

AdvRush: Searching for Adversarially Robust Neural Architectures. - Jisoo Mok; Byunggook Na; Hyeokjun Choe; Sungroh Yoon (ICCV, 2021)

Personalized Face Authentication Based On Few-Shot Meta-Learning. - Chaehun Shin; Jangho Lee 002; Byunggook Na; Sungroh Yoon (ICIP, 2021)

Accelerating Neural Architecture Search via Proxy Data. - Byunggook Na; Jisoo Mok; Hyeokjun Choe; Sungroh Yoon (IJCAI, 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)

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)

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)

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 (AsiaCCS, 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 (CVPR, 2022)

AutoSNN: Towards Energy-Efficient Spiking Neural Networks. - Byunggook Na; Jisoo Mok; Seongsik Park; Dongjin Lee; Hyeokjun Choe; Sungroh Yoon (ICML, 2022)

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 (NeurIPS, 2023)