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2020 – today
- 2025
[j3]Hyeonseok Hong, Hyun Kim
:
VFT: A versatile fine-tuning scheme based on feature distribution-aware knowledge distillation for lightweight convolutional neural networks. Eng. Appl. Artif. Intell. 159: 111597 (2025)- 2024
- [j2]Hyeonseok Hong, Dahun Choi, Namjoon Kim, Haein Lee, Beom Jin Kang, Huibeom Kang, Hyun Kim:
Survey of convolutional neural network accelerators on field-programmable gate array platforms: architectures and optimization techniques. J. Real Time Image Process. 21(3): 64 (2024) - [j1]Hyeonseok Hong, Dahun Choi, Namjoon Kim, Hyun Kim:
Mobile-X: Dedicated FPGA Implementation of the MobileNet Accelerator Optimizing Depthwise Separable Convolution. IEEE Trans. Circuits Syst. II Express Briefs 71(11): 4668-4672 (2024) - 2023
- [c2]Mengxi Liu, Bo Zhou, Zimin Zhao, Hyeonseok Hong, Hyun Kim, Sungho Suh, Vítor Fortes Rey, Paul Lukowicz:
FieldHAR: A Fully Integrated End-to-End RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors. ASAP 2023: 110-118 - [i1]Mengxi Liu, Bo Zhou, Zimin Zhao, Hyeonseok Hong, Hyun Kim, Sungho Suh, Vítor Fortes Rey, Paul Lukowicz:
FieldHAR: A Fully Integrated End-to-end RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors. CoRR abs/2305.12824 (2023) - 2022
- [c1]Hyeonseok Hong, Hyun Kim:
Feature Distribution-based Knowledge Distillation for Deep Neural Networks. ISOCC 2022: 75-76
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