A Real-Time Keyword Spotting System Based on an End-To-End Binary Convolutional Neural Network in FPGA. - Jinsung Yoon; Donghyun Lee; Neungyun Kim; Su-Jung Lee; Gil-Ho Kwak; Tae-Hwan Kim (COOL CHIPS, 2023)

Error-Resilient Binary Neural Network Inference with Selective Recompute-Based Error Correction. - Gil-Ho Kwak; Tae-Hwan Kim (ISOCC, 2024)

BiNPU: A 33.0 MOP/s/LUT Binary Neural Network Inference Processor Showing 88.26% CIFAR10 Accuracy With 1.9 Mbit On-Chip Parameters in a 28-nm FPGA. - Gil-Ho Kwak; Tae-Hwan Kim (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

SR-BIP: A Soft Error-Resilient Binary Neural Network Inference Processor. - Gil-Ho Kwak; Jaeho Kim; Tae-Hwan Kim (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)