| DeepMMSE: A deep learning approach to MMSE-based noise power spectral density estimation Q Zhang, A Nicolson, M Wang, KK Paliwal, C Wang IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 1404-1415, 2020 | 144 | 2020 |
| Learning reinforced attentional representation for end-to-end visual tracking P Gao, Q Zhang, F Wang, L Xiao, H Fujita, Y Zhang Information Sciences 517, 52-67, 2020 | 100 | 2020 |
| Dynamic entropy-based pattern learning to identify emotions from EEG signals across individuals Y Lu, M Wang, W Wu, Y Han, Q Zhang, S Chen Measurement 150, 107003, 2020 | 67 | 2020 |
| A Time-Frequency Attention Module for Neural Speech Enhancement Q Zhang, X Qian, Z Ni, A Nicolson, E Ambikairajah, H Li IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 462-475, 2023 | 39 | 2023 |
| Mamba in Speech: Towards an Alternative to Self-Attention X Zhang*, Q Zhang*, H Liu*, T Xiao, X Qian, B Ahmed, E Ambikairajah, ... arXiv preprint arXiv:2405.12609, 2024 | 31 | 2024 |
| Time-Frequency Attention for Monaural Speech Enhancement Q Zhang, Q Song, Z Ni, A Nicolson, H Li Proc. ICASSP 2022, 2022 | 31 | 2022 |
| Temporal convolutional network with frequency dimension adaptive attention for speech enhancement Q Zhang, Q Song, A Nicolson, T Lan, H Li Proc. INTERSPEECH 2021, 166-170, 2021 | 27 | 2021 |
| PhaseDCN: A phase-enhanced dual-path dilated convolutional network for single-channel speech enhancement L Zhang, M Wang, Q Zhang, X Wang, M Liu IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 2561-2574, 2021 | 26 | 2021 |
| A novel fast nonstationary noise tracking approach based on MMSE spectral power estimator Q Zhang, M Wang, Y Lu, L Zhang, M Idrees Digital Signal Processing 88, 41-52, 2019 | 24 | 2019 |
| Auditory attention decoding from electroencephalography based on long short-term memory networks Y Lu, M Wang, L Yao, H Shen, W Wu, Q Zhang, L Zhang, M Chen, H Liu, ... Biomedical Signal Processing and Control 70, 102966, 2021 | 16 | 2021 |
| FineD-Eval: Fine-grained Automatic Dialogue-Level Evaluation C Zhang, LF D'Haro, Q Zhang, T Friedrichs, H Li EMNLP 2022, 2022 | 15 | 2022 |
| Monaural speech enhancement using a multi-branch temporal convolutional network Q Zhang, A Nicolson, M Wang, KK Paliwal, C Wang arXiv preprint arXiv:1912.12023, 2019 | 15 | 2019 |
| Identification of auditory object-specific attention from single-trial electroencephalogram signals via entropy measures and machine learning Y Lu, M Wang, Q Zhang, Y Han Entropy 20 (5), 386, 2018 | 15 | 2018 |
| Deep Audio-Visual Beamforming for Speaker Localization X Qian, Q Zhang*, G Guan, W Xue IEEE Signal Processing Letters 29, 1132-1136, 2022 | 14 | 2022 |
| Fast nonstationary noise tracking based on log-spectral power MMSE estimator and temporal recursive averaging Q Zhang, M Wang, Y Lu, M Idrees, L Zhang IEEE Access 7, 80985-80999, 2019 | 13 | 2019 |
| Speech-Oriented Sparse Attention Denoising for Voice User Interface Toward Industry 5.0 H Zhu, Q Zhang*, P Gao, X Qian IEEE Transactions on Industrial Informatics 19 (2), 2151-2160, 2022 | 12 | 2022 |
| An Empirical Study on the Impact of Positional Encoding in Transformer-based Monaural Speech Enhancement Q Zhang, M Ge, H Zhu, E Ambikairajah, Q Song, Z Ni, H Li ICASSP 2024, 2024 | 11 | 2024 |
| Neural-Free Attention for Monaural Speech Enhancement Towards Voice User Interface for Consumer Electronics M Chen, Q Zhang*, Q Song, X Qian, R Guo, M Wang, D Chen IEEE Transactions on Consumer Electronics, 2023 | 10 | 2023 |
| Entropy‐Based Pattern Learning Based on Singular Spectrum Analysis Components for Assessment of Physiological Signals Y Lu, M Wang, W Wu, Q Zhang, Y Han, T Kausar, S Chen, M Liu, B Wang Complexity 2020 (1), 4625218, 2020 | 10 | 2020 |
| Accelerating the computation of entropy measures by exploiting vectors with dissimilarity Y Lu, M Wang, R Peng, Q Zhang Entropy 19 (11), 598, 2017 | 10 | 2017 |
Haizhou LiThe Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), China; NUS, Singapore在 u.nus.edu 的电子邮件经过验证
