| Two heads are better than one: A two-stage complex spectral mapping approach for monaural speech enhancement A Li, W Liu, C Zheng, C Fan, X Li IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 1829-1843, 2021 | 131 | 2021 |
| Glance and gaze: A collaborative learning framework for single-channel speech enhancement A Li, C Zheng, L Zhang, X Li Applied Acoustics 187, 108499, 2022 | 103 | 2022 |
| Speech enhancement using progressive learning-based convolutional recurrent neural network A Li, M Yuan, C Zheng, X Li Applied Acoustics 166, 107347, 2020 | 79 | 2020 |
| On the importance of power compression and phase estimation in monaural speech dereverberation A Li, C Zheng, R Peng, X Li JASA express letters 1 (1), 2021 | 76 | 2021 |
| Dual-branch attention-in-attention transformer for single-channel speech enhancement G Yu, A Li, C Zheng, Y Guo, Y Wang, H Wang ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 68 | 2022 |
| A Simultaneous Denoising and Dereverberation Framework with Target Decoupling A Li, W Liu, X Luo, G Yu, C Zheng, X Li Proc. Interspeech 2021, 2801-2805, 2021 | 68 | 2021 |
| ICASSP 2021 Deep Noise Suppression Challenge: Decoupling Magnitude and Phase Optimization with a Two-Stage Deep Network A Li, W Liu, X Luo, C Zheng, X Li IEEE International Conference on Acoustics, Speech and Signal Processing …, 2021 | 61 | 2021 |
| Embedding and beamforming: All-neural causal beamformer for multichannel speech enhancement A Li, W Liu, C Zheng, X Li ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 45 | 2022 |
| A recursive network with dynamic attention for monaural speech enhancement A Li, C Zheng, C Fan, R Peng, X Li Proc. Interspeech, 2020--1513, 2020 | 35 | 2020 |
| DBT-Net: Dual-branch federative magnitude and phase estimation with attention-in-attention transformer for monaural speech enhancement G Yu, A Li, H Wang, Y Wang, Y Ke, C Zheng IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 2629-2644, 2022 | 30 | 2022 |
| Taylor, can you hear me now? a Taylor-unfolding framework for monaural speech enhancement A Li, S You, G Yu, C Zheng, X Li arXiv preprint arXiv:2205.00206, 2022 | 14 | 2022 |
| Deep learning-based stereophonic acoustic echo suppression without decorrelation L Cheng, R Peng, A Li, C Zheng, X Li The Journal of the Acoustical Society of America 150 (2), 816-829, 2021 | 13 | 2021 |
| Know Your Enemy, Know Yourself: A Unified Two-Stage Framework for Speech Enhancemen W Liu, A Li, Y Ke, C Zheng, X Li Proc. Interspeech 2021, 186-190, 2021 | 13 | 2021 |
| A time-domain monaural speech enhancement with feedback learning A Li, C Zheng, L Cheng, R Peng, X Li 2020 Asia-Pacific Signal and Information Processing Association Annual …, 2020 | 13 | 2020 |
| Sixty years of frequency-domain monaural speech enhancement: From traditional to deep learning methods C Zheng, H Zhang, W Liu, X Luo, A Li, X Li, BCJ Moore Trends in Hearing 27, 23312165231209913, 2023 | 12 | 2023 |
| Filtering and refining: A collaborative-style framework for single-channel speech enhancement A Li, C Zheng, G Yu, J Cai, X Li IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 2156-2172, 2022 | 12 | 2022 |
| Low-complexity artificial noise suppression methods for deep learning-based speech enhancement algorithms Y Ke, A Li, C Zheng, R Peng, X Li EURASIP Journal on Audio, Speech, and Music Processing 2021, 1-15, 2021 | 12 | 2021 |
| TaylorBeamformer: Learning All-Neural Beamformer for Multi-Channel Speech Enhancement from Taylor's Approximation Theory A Li, G Yu, C Zheng, X Li arXiv preprint arXiv:2203.07195, 2022 | 11 | 2022 |
| Long-term missing wind data recovery using free access databases and deep learning for bridge health monitoring Z Wang, A Li, W Zhang, Y Zhang Journal of Wind Engineering and Industrial Aerodynamics 230, 105201, 2022 | 9 | 2022 |
| A neural beamspace-domain filter for real-time multi-channel speech enhancement W Liu, A Li, X Wang, M Yuan, Y Chen, C Zheng, X Li Symmetry 14 (6), 1081, 2022 | 9 | 2022 |
