| Hardware-friendly logarithmic quantization with mixed-precision for mobilenetv2 D Choi, H Kim 2022 IEEE 4th international conference on artificial intelligence circuits …, 2022 | 15 | 2022 |
| Survey of convolutional neural network accelerators on field-programmable gate array platforms: architectures and optimization techniques H Hong, D Choi, N Kim, H Lee, B Kang, H Kang, H Kim Journal of Real-Time Image Processing 21 (3), 64, 2024 | 10 | 2024 |
| Hardware-friendly log-scale quantization for CNNs with activation functions containing negative values D Choi, H Kim 2021 18th International SoC Design Conference (ISOCC), 415-416, 2021 | 5 | 2021 |
| Mobile-X: Dedicated FPGA Implementation of the MobileNet Accelerator Optimizing Depthwise Separable Convolution H Hong, D Choi, N Kim, H Kim IEEE Transactions on Circuits and Systems II: Express Briefs, 2024 | 1 | 2024 |
| HLQ: Hardware-Friendly Logarithmic Quantization Aware Training for Power-Efficient Low-Precision CNN Models D Choi, J Park, H Kim IEEE Access, 2024 | | 2024 |
| SRU-Q: Hardware-friendly Stochastic Rounding Unit-based Gradient Quantization for CNN Training S Jeong, D Choi, H Kim 2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS …, 2024 | | 2024 |
