| Evaluation of neural architectures trained with square loss vs cross-entropy in classification tasks L Hui, M Belkin arXiv preprint arXiv:2006.07322, 2020 | 180 | 2020 |
| Limitations of neural collapse for understanding generalization in deep learning L Hui, M Belkin, P Nakkiran arXiv preprint arXiv:2202.08384, 2022 | 58 | 2022 |
| Joint training of complex ratio mask based beamformer and acoustic model for noise robust asr Y Xu, C Weng, L Hui, J Liu, M Yu, D Su, D Yu ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 44 | 2019 |
| Convolutional maxout neural networks for speech separation L Hui, M Cai, C Guo, L He, WQ Zhang, J Liu 2015 IEEE international symposium on signal processing and information …, 2015 | 44 | 2015 |
| High-performance Swahili keyword search with very limited language pack: The THUEE system for the OpenKWS15 evaluation M Cai, Z Lv, C Lu, J Kang, L Hui, Z Zhang, J Liu 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015 | 14 | 2015 |
| Kernel Machines Beat Deep Neural Networks on Mask-based Single-channel Speech Enhancement L Hui, S Ma, M Belkin INTERSPEECH 2019, 2019 | 12 | 2019 |
| Cut your losses with squentropy L Hui, M Belkin, S Wright International Conference on Machine Learning, 14114-14131, 2023 | 7 | 2023 |
| Evaluation of neural architectures trained with square loss vs cross-entropy in classification tasks, 2020 L Hui, M Belkin URL https://arxiv. org/abs, 2020 | 7* | 2020 |
| A speech enhancement algorithm using computational auditory scene analysis with spectral subtraction C Guo, L Hui, WQ Zhang, J Liu 2016 IEEE International Symposium on Signal Processing and Information …, 2016 | 5 | 2016 |
| ReLU soothes the NTK condition number and accelerates optimization for wide neural networks C Liu, L Hui arXiv preprint arXiv:2305.08813, 2023 | 4 | 2023 |
| Improved system fusion for keyword search Z Lv, M Cai, C Lu, J Kang, L Hui, WQ Zhang, J Liu 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015 | 3 | 2015 |
| Surprising Empirical Phenomena of Deep Learning and Kernel Machines L Hui University of California, San Diego, 2023 | | 2023 |
| ReLU soothes NTK conditioning and accelerates optimization for wide neural networks C Liu, L Hui, X Liu | | |
Mikhail (Misha) BelkinProfessor of Data Science, Halıcıoğlu Data Science Institute, CSE, UCSD, Amazon Scholar在 ucsd.edu 的电子邮件经过验证
