| Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection S Kim, S Park, B Na, S Yoon 2020 34th AAAI Conference on Artificial Intelligence, 2020 | 532 | 2020 |
| T2FSNN: Deep spiking neural networks with time-to-first-spike coding S Park, S Kim, B Na, S Yoon IEEE Design Automation Conference (DAC), 1-6, 2020 | 168* | 2020 |
| Fast and efficient information transmission with burst spikes in deep spiking neural networks S Park, S Kim, H Choe, S Yoon Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 126 | 2019 |
| Towards fast and accurate object detection in bio-inspired spiking neural networks through Bayesian optimization S Kim, S Park, B Na, J Kim, S Yoon IEEE Access 9, 2633-2643, 2020 | 32* | 2020 |
| Near-data processing for differentiable machine learning models H Choe, S Lee, H Nam, S Park, S Kim, EY Chung, S Yoon arXiv preprint arXiv:1610.02273, 2016 | 31 | 2016 |
| Quantized memory-augmented neural networks S Park, S Kim, S Lee, H Bae, S Yoon Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 24 | 2018 |
| Energy-efficient inference accelerator for memory-augmented neural networks on an fpga S Park, J Jang, S Kim, S Yoon 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2019 | 16* | 2019 |
| Wearable and wireless measurement system for evaluating penile tumescence S Choi, S Kim, J Seo, JY Park, S Yoon 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2015 | 6 | 2015 |
| Scalable smartphone cluster for deep learning B Na, J Jang, S Park, S Kim, J Kim, MS Jeong, KC Kim, S Heo, Y Kim, ... arXiv preprint arXiv:2110.12172, 2021 | 5 | 2021 |
| Memory-augmented neural networks on FPGA for real-time and energy-efficient question answering S Park, J Jang, S Kim, B Na, S Yoon IEEE Transactions on Very Large Scale Integration (VLSI) Systems 29 (1), 162-175, 2020 | 5 | 2020 |
| CloudSocket: fine-grained power sensing system for datacenters S Lee, H Kim, S Park, S Kim, H Choe, S Yoon IEEE Access 6, 49601-49610, 2018 | 5 | 2018 |
| Gradient-based bit encoding optimization for noise-robust binary memristive crossbar Y Kim, H Kim, S Kim, SJ Kim, P Panda 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2022 | 4 | 2022 |
| Near-data processing for machine learning H Choe, S Lee, S Park, SJ Kim, EY Chung, S Yoon arXiv preprint arXiv:1610.02273, 0 | 3 | |
| CloudSocket: Smart grid platform for datacenters S Lee, H Kim, S Park, S Kim, H Choe, CS Jeong, S Yoon 2016 IEEE 34th International Conference on Computer Design (ICCD), 436-439, 2016 | 2 | 2016 |
| Storage device and method of operating the same Y Sungroh, H Choe, S Park, KIM Seijoon US Patent 11,669,720, 2023 | 1 | 2023 |
| Storage device and method of operating the same Y Sungroh, H Choe, S Park, KIM Seijoon US Patent 12,050,988, 2024 | | 2024 |
| Electronic device and method with data scaling CW Shin, K Soon-Wan, KIM Seijoon, H Kim, Y Seungkeun US Patent App. 18/524,520, 2024 | | 2024 |
| Determining quantization step size for crossbar arrays Y Seungkeun, KIM Seijoon, H Kim, CW Shin US Patent App. 18/300,692, 2024 | | 2024 |
| Method and electronic device with feature vector and feature map output H Kim, KIM Seijoon, MUN Minyoung, Y Seungkeun US Patent App. 18/310,075, 2024 | | 2024 |
| Method of training image representation model MUN Minyoung, KIM Seijoon US Patent App. 18/116,602, 2024 | | 2024 |
