| Variable rate deep image compression with a conditional autoencoder Y Choi, M El-Khamy, J Lee Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 238 | 2019 |
| Towards the limit of network quantization Y Choi, M El-Khamy, J Lee 2017 International Conference on Learning Representations (ICLR), 2016 | 228 | 2016 |
| Data-Free Network Quantization With Adversarial Knowledge Distillation Y Choi, J Choi, M El-Khamy, J Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 124 | 2020 |
| Universal deep neural network compression Y Choi, M El-Khamy, J Lee IEEE Journal of Selected Topics in Signal Processing 14 (4), 715-726, 2020 | 108 | 2020 |
| Learning Sparse Low-Precision Neural Networks With Learnable Regularization Y Choi, M El-Khamy, J Lee IEEE Access, 2020 | 70* | 2020 |
| Dual-Teacher Class-Incremental Learning With Data-Free Generative Replay Y Choi, M El-Khamy, J Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 34 | 2021 |
| Method and apparatus for learning low-precision neural network that combines weight quantization and activation quantization YJ Choi, M El-Khamy, J Lee US Patent 11,270,187, 2022 | 25 | 2022 |
| Method and apparatus for reducing computational complexity of convolutional neural networks M El-Khamy, YJ Choi, J Lee US Patent 11,164,071, 2021 | 12 | 2021 |
| Method and apparatus for variable rate compression with a conditional autoencoder YJ Choi, M El-Khamy, J Lee US Patent 10,886,943, 2021 | 12 | 2021 |
| Compression of Deep Convolutional Neural Networks under Joint Sparsity Constraints Y Choi, M El-Khamy, J Lee arXiv preprint arXiv:1805.08303, 2018 | 11 | 2018 |
| Low-complexity 2D LMMSE channel estimation for OFDM systems Y Choi, JH Bae, J Lee 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall), 1-5, 2015 | 10 | 2015 |
| On effectiveness of application-layer coding Y Choi, P Momcilovic IEEE Transactions on Information Theory 57 (10), 6673-6691, 2011 | 10 | 2011 |
| Jointly Sparse Convolutional Neural Networks in Dual Spatial-Winograd Domains Y Choi, M El-Khamy, J Lee ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 9 | 2019 |
| Computing system with power estimation mechanism and method of operation thereof YJ Choi, D Bai, J Lee, I Kang US Patent 9,312,968, 2016 | 8 | 2016 |
| A physical 3d trackball MS Kim, JK Seong, DE Hyun, KH Lee, YJ Choi Proceedings Ninth Pacific Conference on Computer Graphics and Applications …, 2001 | 7 | 2001 |
| Method and apparatus for data-aided iterative channel estimation YJ Choi, D Bai, S Kim, J Lee US Patent 10,182,439, 2019 | 4 | 2019 |
| Computing system with interference classification mechanism and method of operation thereof YJ Choi, D Bai, J Lee, I Kang US Patent 9,203,659, 2015 | 4 | 2015 |
| On the departure process of the linear loss network Y Choi, P Momčilović Queueing Systems 78 (2), 155-187, 2014 | 3 | 2014 |
| Mismatched hypothesis testing with application to digital modulation classification Y Choi, D Bai, J Lee 2013 IEEE International Conference on Communications (ICC), 4541-4545, 2013 | 3 | 2013 |
| PPG to ECG Signal Translation for Continuous Atrial Fibrillation Detection via Attention-based Deep State-Space Modeling K Vo, M El-Khamy, Y Choi arXiv preprint arXiv:2309.15375, 2023 | 2 | 2023 |
