Feature Distribution-based Knowledge Distillation for Deep Neural Networks. - Hyeonseok Hong; Hyun Kim 001 (ISOCC, 2022)

FieldHAR: A Fully Integrated End-to-End RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors. - Mengxi Liu; Bo Zhou 005; Zimin Zhao; Hyeonseok Hong; Hyun Kim 001; Sungho Suh; Vítor Fortes Rey; Paul Lukowicz (ASAP, 2023)

Survey of convolutional neural network accelerators on field-programmable gate array platforms: architectures and optimization techniques. - Hyeonseok Hong; Dahun Choi; Namjoon Kim; Haein Lee; Beom Jin Kang; Huibeom Kang; Hyun Kim 001 (J. Real Time Image Process., 2024)

Mobile-X: Dedicated FPGA Implementation of the MobileNet Accelerator Optimizing Depthwise Separable Convolution. - Hyeonseok Hong; Dahun Choi; Namjoon Kim; Hyun Kim 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

VFT: A versatile fine-tuning scheme based on feature distribution-aware knowledge distillation for lightweight convolutional neural networks. - Hyeonseok Hong; Hyun Kim 001 (Eng. Appl. Artif. Intell., 2025)