Wearable and wireless measurement system for evaluating penile tumescence. - Sungwoon Choi; Sei Joon Kim; Jongmo Seo; Jae Young Park; Sungroh Yoon (BioCAS, 2015)

Will solid-state drives accelerate your bioinformatics? In-depth profiling, performance analysis, and beyond. - Sungmin Lee 001; Byunghan Lee; Sei Joon Kim; Sunyoung Kwon; Sungroh Yoon (CoRR, 2015)

CloudSocket: Smart grid platform for datacenters. - Seil Lee; Hanjoo Kim; Seongsik Park; Sei Joon Kim; Hyeokjun Choe; Chang-Sung Jeong; Sungroh Yoon (ICCD, 2016)

Near-Data Processing for Machine Learning. - Hyeokjun Choe; Seil Lee; Seongsik Park; Sei Joon Kim; Eui-Young Chung; Sungroh Yoon (CoRR, 2016)

Quantized Memory-Augmented Neural Networks. - Seongsik Park; Sei Joon Kim; Seil Lee; Ho Bae; Sungroh Yoon (AAAI, 2018)

CloudSocket: Fine-Grained Power Sensing System for Datacenters. - Seil Lee; Hanjoo Kim; Seongsik Park; Sei Joon Kim; Hyeokjun Choe; Sungroh Yoon (IEEE Access, 2018)

Streaming MANN: A Streaming-Based Inference for Energy-Efficient Memory-Augmented Neural Networks. - Seongsik Park; Jaehee Jang; Sei Joon Kim; Sungroh Yoon (CoRR, 2018)

Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks. - Seongsik Park; Sei Joon Kim; Hyeokjun Choe; Sungroh Yoon (DAC, 2019)

Energy-Efficient Inference Accelerator for Memory-Augmented Neural Networks on an FPGA. - Seongsik Park; Jaehee Jang; Sei Joon Kim; Sungroh Yoon (DATE, 2019)

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)

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)