| Structured pruning of deep convolutional neural networks S Anwar, K Hwang, W Sung ACM Journal on Emerging Technologies in Computing Systems (JETC) 13 (3), 1-18, 2017 | 920 | 2017 |
| Fixed-point feedforward deep neural network design using weights +1, 0, and −1 K Hwang, W Sung 2014 IEEE Workshop on Signal Processing Systems (SiPS), 1-6, 2014 | 349 | 2014 |
| Fixed point optimization of deep convolutional neural networks for object recognition S Anwar, K Hwang, W Sung 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 289 | 2015 |
| Resiliency of Deep Neural Networks under Quantization W Sung, S Shin, K Hwang arXiv preprint arXiv:1511.06488, 2015 | 187 | 2015 |
| FPGA-based low-power speech recognition with recurrent neural networks M Lee, K Hwang, J Park, S Choi, S Shin, W Sung 2016 IEEE International Workshop on Signal Processing Systems (SiPS), 230-235, 2016 | 98 | 2016 |
| Fixed-point performance analysis of recurrent neural networks S Shin, K Hwang, W Sung Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International …, 2016 | 90 | 2016 |
| Character-level incremental speech recognition with recurrent neural networks K Hwang, W Sung 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 85 | 2016 |
| Character-level language modeling with hierarchical recurrent neural networks K Hwang, W Sung 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 75 | 2017 |
| X1000 real-time phoneme recognition VLSI using feed-forward deep neural networks J Kim, K Hwang, W Sung 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 57 | 2014 |
| Single stream parallelization of generalized LSTM-like RNNs on a GPU K Hwang, W Sung Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International …, 2015 | 44 | 2015 |
| Online Keyword Spotting with a Character-Level Recurrent Neural Network K Hwang, M Lee, W Sung arXiv preprint arXiv:1512.08903, 2015 | 41 | 2015 |
| Load balanced resampling for real-time particle filtering on graphics processing units K Hwang, W Sung IEEE Transactions on Signal Processing 61 (2), 411-419, 2012 | 35 | 2012 |
| Fault tolerance analysis of digital feed-forward deep neural networks M Lee, K Hwang, W Sung 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 30 | 2014 |
| Generalised Discriminative Transform via Curriculum Learning for Speaker Recognition E Marchi, S Shum, K Hwang, S Kajarekar, S Sigtia, H Richards, R Haynes, ... 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 29 | 2018 |
| Sequence to Sequence Training of CTC-RNNs with Partial Windowing K Hwang, W Sung International Conference on Machine Learning (ICML), 2178-2187, 2016 | 28* | 2016 |
| Sapaugment: Learning a sample adaptive policy for data augmentation TY Hu, A Shrivastava, JHR Chang, H Koppula, S Braun, K Hwang, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 21 | 2021 |
| Generative Knowledge Transfer for Neural Language Models S Shin, K Hwang, W Sung arXiv preprint arXiv:1608.04077, 2016 | 11 | 2016 |
| Learning separable fixed-point kernels for deep convolutional neural networks S Anwar, K Hwang, W Sung 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 4 | 2016 |
| A simulation-based study for DRAM power reduction strategies in GPGPUs H Choi, K Hwang, J Ahn, W Sung 2012 IEEE International Symposium on Circuits and Systems (ISCAS), 1343-1346, 2012 | 2 | 2012 |
| Massively parallel computation of linear recurrence equations with graphics processing units W Sung, D Lee, K Hwang Proceedings of the 18th International Conference on Embedded Computer …, 2018 | | 2018 |
Wonyong SungProfessor, IEEE Life Fellow, Graduate School of Engineering Practice, Seoul National UniversityVerified email at snu.ac.kr
