| Panns: Large-scale pretrained audio neural networks for audio pattern recognition Q Kong, Y Cao, T Iqbal, Y Wang, W Wang, MD Plumbley IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 2880-2894, 2020 | 1137 | 2020 |
| AudioLDM: Text-to-Audio Generation with Latent Diffusion Models H Liu, Z Chen, Y Yuan, X Mei, X Liu, D Mandic, W Wang, MD Plumbley The 40th International Conference on Machine Learning, 23 – 29 Jul 2023, 2023 | 392 | 2023 |
| Large-scale weakly supervised audio classification using gated convolutional neural network Y Xu, Q Kong, W Wang, MD Plumbley 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 255 | 2018 |
| Dstagnn: Dynamic spatial-temporal aware graph neural network for traffic flow forecasting S Lan, Y Ma, W Huang, W Wang, H Yang, P Li International Conference on Machine Learning, 11906-11917, 2022 | 251 | 2022 |
| Simultaneous Codeword Optimization (SimCO) for Dictionary Update and Learning W Dai, T Xu, W Wang IEEE Transactions on Signal Processing 60 (12), 6340-6353, 2011 | 146 | 2011 |
| Heterogeneous feature selection with multi-modal deep neural networks and sparse group lasso L Zhao, Q Hu, W Wang IEEE Transactions on Multimedia 17 (11), 1936-1948, 2015 | 144 | 2015 |
| Sound event detection of weakly labelled data with CNN-transformer and automatic threshold optimization Q Kong, Y Xu, W Wang, MD Plumbley IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 2450-2460, 2020 | 141 | 2020 |
| Polyphonic Sound Event Detection and Localization using a Two-Stage Strategy Y Cao, Q Kong, T Iqbal, F An, W Wang, MD Plumbley arXiv preprint arXiv:1905.00268, 2019 | 134 | 2019 |
| Blind source separation: Advances in theory, algorithms and applications GR Naik, W Wang Springer, 2014 | 127 | 2014 |
| Blind source separation GR Naik, W Wang Berlin: Springer 10, 978-3, 2014 | 127 | 2014 |
| Sound Event Detection and Time–Frequency Segmentation from Weakly Labelled Data Q Kong, Y Xu, I Sobieraj, W Wang, MD Plumbley IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) 27 (4 …, 2019 | 125 | 2019 |
| IENet: Interacting embranchment one stage anchor free detector for orientation aerial object detection Y Lin, P Feng, J Guan, W Wang, J Chambers arXiv preprint arXiv:1912.00969, 2019 | 122 | 2019 |
| Audio set classification with attention model: A probabilistic perspective Q Kong, Y Xu, W Wang, MD Plumbley 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 121 | 2018 |
| Convolutional gated recurrent neural network incorporating spatial features for audio tagging Y Xu, Q Kong, Q Huang, W Wang, MD Plumbley 2017 International Joint Conference on Neural Networks (IJCNN), 3461-3466, 2017 | 118 | 2017 |
| WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research X Mei, C Meng, H Liu, Q Kong, T Ko, C Zhao, MD Plumbley, Y Zou, ... IEEE/ACM Transactions on Audio Speech and Language Processing, 2024 | 105 | 2024 |
| Penalty function-based joint diagonalization approach for convolutive blind separation of nonstationary sources W Wang, S Sanei, JA Chambers IEEE Transactions on Signal Processing 53 (5), 1654-1669, 2005 | 101 | 2005 |
| Weakly Labelled AudioSet Tagging With Attention Neural Networks Q Kong, C Yu, Y Xu, T Iqbal, W Wang, MD Plumbley IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (11 …, 2019 | 99 | 2019 |
| Cross-task learning for audio tagging, sound event detection and spatial localization: DCASE 2019 baseline systems Q Kong, Y Cao, T Iqbal, Y Xu, W Wang, MD Plumbley arXiv preprint arXiv:1904.03476, 2019 | 99 | 2019 |
| Unsupervised feature learning based on deep models for environmental audio tagging Y Xu, Q Huang, W Wang, P Foster, S Sigtia, PJB Jackson, MD Plumbley IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (6), 1230 …, 2017 | 97 | 2017 |
| Note onset detection via nonnegative factorization of magnitude spectrum W Wang, Y Luo, JA Chambers, S Sanei EURASIP Journal on Advances in Signal Processing 2008 (19), 2008 | 94* | 2008 |
Mark D. PlumbleyCentre for Vision, Speech and Signal Processing (CVSSP), University of SurreyVerified email at surrey.ac.uk
