| 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 | 47 | 2017 |
| Understanding the role of self attention for efficient speech recognition K Shim, J Choi, W Sung International Conference on Learning Representations, 2021 | 35 | 2021 |
| Semantic feature extraction for generalized zero-shot learning J Kim, K Shim, B Shim Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 1166-1173, 2022 | 22 | 2022 |
| Towards intelligent millimeter and terahertz communication for 6G: Computer vision-aided beamforming Y Ahn, J Kim, S Kim, K Shim, J Kim, S Kim, B Shim IEEE Wireless Communications, 2022 | 19 | 2022 |
| Layer-wise pruning of transformer attention heads for efficient language modeling K Shim, I Choi, W Sung, J Choi 2021 18th International SoC Design Conference (ISOCC), 357-358, 2021 | 8 | 2021 |
| Pseudo-label-free weakly supervised semantic segmentation using image masking S Kim, LT Nguyen, K Shim, J Kim, B Shim IEEE Access 10, 19401-19411, 2022 | 7 | 2022 |
| Vision Transformer-Based Feature Extraction for Generalized Zero-Shot Learning J Kim, K Shim, J Kim, B Shim ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 6 | 2023 |
| Similarity and content-based phonetic self attention for speech recognition K Shim, W Sung arXiv preprint arXiv:2203.10252, 2022 | 6 | 2022 |
| TernGEMM: GEneral Matrix Multiply Library with Ternary Weights for Fast DNN Inference S Choi, K Shim, J Choi, W Sung, B Shim 2021 IEEE Workshop on Signal Processing Systems (SiPS), 111-116, 2021 | 4 | 2021 |
| Task-Agnostic Open-Set Prototype for Few-Shot Open-Set Recognition B Kim, JT Lee, K Shim, S Chang 2023 IEEE International Conference on Image Processing (ICIP), 31-35, 2023 | 2 | 2023 |
| Depth-relative self attention for monocular depth estimation K Shim, J Kim, G Lee, B Shim arXiv preprint arXiv:2304.12849, 2023 | 2 | 2023 |
| A comparison of transformer, convolutional, and recurrent neural networks on phoneme recognition K Shim, W Sung arXiv preprint arXiv:2210.00367, 2022 | 2 | 2022 |
| Spatial Cross-Attention for Transformer-Based Image Captioning KA Ngo, K Shim, B Shim ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| Semantic-preserving augmentation for robust image-text retrieval S Kim, K Shim, LT Nguyen, B Shim ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| Teacher intervention: Improving convergence of quantization aware training for ultra-low precision transformers M Kim, K Shim, S Park, W Sung, J Choi arXiv preprint arXiv:2302.11812, 2023 | 1 | 2023 |
| Korean Tokenization for Beam Search Rescoring in Speech Recognition K Shim, H Bae, W Sung 2023 International Conference on Electronics, Information, and Communication …, 2023 | 1 | 2023 |
| Efficient Transformer Network-based End-to-End Speech Recognition K SHIM | 1 | 2022 |
| Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization J Kim, K Shim, I Lee, B Shim Proceedings of the AAAI Conference on Artificial Intelligence 38 (3), 2768-2776, 2024 | | 2024 |
| Knowledge Distillation from Non-streaming to Streaming ASR Encoder using Auxiliary Non-streaming Layer K Shim, J Lee, S Chang, K Hwang arXiv preprint arXiv:2308.16415, 2023 | | 2023 |
| Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data S Yang, B Kim, K Shim, S Chang arXiv preprint arXiv:2309.00647, 2023 | | 2023 |
Wonyong SungProfessor, IEEE Life Fellow, Graduate School of Engineering Practice, Seoul National UniversityVerified email at snu.ac.kr
