| SVD-softmax: Fast softmax approximation on large vocabulary neural networks K Shim, M Lee, I Choi, Y Boo, W Sung Advances in neural information processing systems 30, 2017 | 56 | 2017 |
| Structured sparse ternary weight coding of deep neural networks for efficient hardware implementations Y Boo, W Sung 2017 IEEE international workshop on signal processing systems (SIPS), 1-6, 2017 | 55 | 2017 |
| Fully neural network based speech recognition on mobile and embedded devices J Park, Y Boo, I Choi, S Shin, W Sung Advances in neural information processing systems 31, 2018 | 53 | 2018 |
| Fixed-point optimization of deep neural networks with adaptive step size retraining S Shin, Y Boo, W Sung 2017 IEEE International conference on acoustics, speech and signal …, 2017 | 46 | 2017 |
| Stochastic precision ensemble: self-knowledge distillation for quantized deep neural networks Y Boo, S Shin, J Choi, W Sung Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 6794-6802, 2021 | 32 | 2021 |
| Knowledge distillation for optimization of quantized deep neural networks S Shin, Y Boo, W Sung 2020 IEEE Workshop on Signal Processing Systems (SiPS), 1-6, 2020 | 23* | 2020 |
| Fixed-point optimization of transformer neural network Y Boo, W Sung ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 17 | 2020 |
| Quantized neural networks: Characterization and holistic optimization Y Boo, S Shin, W Sung 2020 IEEE Workshop on Signal Processing Systems (SiPS), 1-6, 2020 | 15 | 2020 |
| Memorization capacity of deep neural networks under parameter quantization Y Boo, S Shin, W Sung ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 10 | 2019 |
| Hlhlp: Quantized neural networks training for reaching flat minima in loss surface S Shin, J Park, Y Boo, W Sung Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5784-5791, 2020 | 6 | 2020 |
| Sqwa: Stochastic quantized weight averaging for improving the generalization capability of low-precision deep neural networks S Shin, Y Boo, W Sung ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 4 | 2021 |
| Neural core, neural processing device including same, and method for loading data of neural processing device J Kim, K Bong, J Oh, BOO Yoonho US Patent 11,954,584, 2024 | 1 | 2024 |
| 2.4 ATOMUS: A 5nm 32TFLOPS/128TOPS ML System-on-Chip for Latency Critical Applications CH Yu, HE Kim, S Shin, K Bong, H Kim, Y Boo, J Bae, M Kwon, K Charfi, ... 2024 IEEE International Solid-State Circuits Conference (ISSCC) 67, 42-44, 2024 | 1 | 2024 |
| LightTrader: World’s first AI-enabled High-Frequency Trading Solution with 16 TFLOPS/64 TOPS Deep Learning Inference Accelerators H Kim, S Yoo, J Bae, K Bong, Y Boo, K Charfi, HE Kim, HS Kim, J Kim, ... 2022 IEEE Hot Chips 34 Symposium (HCS), 1-10, 2022 | 1 | 2022 |
| Hierarchical Recurrent Neural Networks for Acoustic Modeling. J Park, I Choi, Y Boo, W Sung INTERSPEECH, 3728-3732, 2018 | 1 | 2018 |
| Command processor, neural core soc and method for obtaining context data using the same H Kim, CH Yu, BOO Yoonho US Patent App. 18/621,936, 2024 | | 2024 |
| Method and apparatus for quantizing deep neural network BOO Yoonho US Patent 12,099,915, 2024 | | 2024 |
| Neural core, neural processing device including same, and method for loading data of neural processing device J Kim, K Bong, J Oh, BOO Yoonho US Patent App. 18/597,728, 2024 | | 2024 |
| Neural network training method and apparatus S Shin, S Wonyong, BOO Yoonho US Patent App. 17/526,221, 2022 | | 2022 |
| Characterization and Optimization of Quantized Deep Neural Networks 부윤호 서울대학교 대학원, 2020 | | 2020 |
Wonyong SungProfessor, IEEE Life Fellow, Graduate School of Engineering Practice, Seoul National UniversityE-mail megerősítve itt: snu.ac.kr
