A biologically plausible supervised learning method for spiking neural networks using the symmetric STDP rule Y Hao, X Huang, M Dong, B Xu Neural Networks 121, 387-395, 2020 | 139 | 2020 |
LISNN: Improving spiking neural networks with lateral interactions for robust object recognition. X Cheng, Y Hao, J Xu, B Xu IJCAI, 1519-1525, 2020 | 107 | 2020 |
A Unified Framework for Low-Latency Speaker Extraction in Cocktail Party Environments. Y Hao, J Xu, J Shi, P Zhang, L Qin, B Xu Interspeech, 1431-1435, 2020 | 18 | 2020 |
Wase: Learning when to attend for speaker extraction in cocktail party environments Y Hao, J Xu, P Zhang, B Xu ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 17 | 2021 |
Compressing speaker extraction model with ultra-low precision quantization and knowledge distillation Y Huang, Y Hao, J Xu, B Xu Neural Networks 154, 13-21, 2022 | 8 | 2022 |
Audio-visual speech separation with adversarially disentangled visual representation P Zhang, J Xu, Y Hao, B Xu arXiv preprint arXiv:2011.14334, 2020 | 7 | 2020 |
Limuse: Lightweight multi-modal speaker extraction Q Liu, Y Huang, Y Hao, J Xu, B Xu 2022 IEEE Spoken Language Technology Workshop (SLT), 488-495, 2023 | 6 | 2023 |
Audio-visual speech separation with visual features enhanced by adversarial training P Zhang, J Xu, J Shi, Y Hao, L Qin, B Xu 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 2 | 2021 |
Online audio-visual speech separation with generative adversarial training P Zhang, J Xu, Y Hao, B Xu Proceedings of the 2021 7th International Conference on Computing and …, 2021 | 1 | 2021 |
Multi-Cue Guided Semi-Supervised Learning Toward Target Speaker Separation in Real Environments J Xu, J Cui, Y Hao, B Xu IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023 | | 2023 |
Towards Modeling Auditory Restoration in Noisy Environments Y Huang, Y Hao, J Xu, B Xu 2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021 | | 2021 |