| Anomalous sound detection using deep audio representation and a BLSTM network for audio surveillance of roads Y Li, X Li, Y Zhang, M Liu, W Wang Ieee Access 6, 58043-58055, 2018 | 64 | 2018 |
| Violence detection in videos based on fusing visual and audio information WF Pang, QH He, Y Hu, YX Li ICASSP 2021-2021 IEEE international conference on acoustics, speech and …, 2021 | 60 | 2021 |
| Sound event detection via dilated convolutional recurrent neural networks Y Li, M Liu, K Drossos, T Virtanen ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 59 | 2020 |
| Sound event detection with depthwise separable and dilated convolutions K Drossos, SI Mimilakis, S Gharib, Y Li, T Virtanen 2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020 | 51 | 2020 |
| Mobile phone clustering from speech recordings using deep representation and spectral clustering Y Li, X Zhang, X Li, Y Zhang, J Yang, Q He IEEE Transactions on Information Forensics and Security 13 (4), 965-977, 2017 | 47 | 2017 |
| Cancelable voiceprint templates based on knowledge signatures W Xu, Q He, Y Li, T Li 2008 International Symposium on Electronic Commerce and Security, 412-415, 2008 | 38 | 2008 |
| Acoustic scene classification using deep audio feature and BLSTM network Y Li, X Li, Y Zhang, W Wang, M Liu, X Feng 2018 International Conference on Audio, Language and Image Processing …, 2018 | 37 | 2018 |
| Using multi-stream hierarchical deep neural network to extract deep audio feature for acoustic event detection Y Li, X Zhang, H Jin, X Li, Q Wang, Q He, Q Huang Multimedia Tools and Applications 77, 897-916, 2018 | 33 | 2018 |
| A two-step hybrid approach for voiceprint-biometric template protection HH Zhu, QH He, YX Li 2012 International Conference on Machine Learning and Cybernetics 2, 560-565, 2012 | 27 | 2012 |
| Acoustic scene clustering using joint optimization of deep embedding learning and clustering iteration Y Li, M Liu, W Wang, Y Zhang, Q He IEEE Transactions on Multimedia 22 (6), 1385-1394, 2019 | 26 | 2019 |
| Characteristics-based effective applause detection for meeting speech YX Li, QH He, S Kwong, T Li, JC Yang Signal Processing 89 (8), 1625-1633, 2009 | 26 | 2009 |
| Liveness detection using time drift between lip movement and voice ZY Zhu, QH He, XH Feng, YX Li, ZF Wang 2013 International Conference on Machine Learning and Cybernetics 2, 973-978, 2013 | 21 | 2013 |
| Predicting skeleton trajectories using a skeleton-transformer for video anomaly detection W Pang, Q He, Y Li Multimedia Systems 28 (4), 1481-1494, 2022 | 20 | 2022 |
| Deep mutual attention network for acoustic scene classification W Xie, Q He, Z Yu, Y Li Digital Signal Processing 123, 103450, 2022 | 18 | 2022 |
| Mobile phone clustering from acquired speech recordings using deep Gaussian supervector and spectral clustering Y Li, X Zhang, X Li, X Feng, J Yang, A Chen, Q He 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 17 | 2017 |
| Revisiting label smoothing regularization with knowledge distillation J Wang, P Zhang, Q He, Y Li, Y Hu Applied Sciences 11 (10), 4699, 2021 | 15 | 2021 |
| The system for acoustic scene classification using resnet M Liu, W Wang, Y Li Detection and Classification of Acoustic Scenes and Events (DCASE), Tech …, 2019 | 15 | 2019 |
| Source cell phone matching from speech recordings by sparse representation and KISS metric L Zou, Q He, J Yang, Y Li 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 15 | 2016 |
| ASVP-ESD: A dataset and its benchmark for emotion recognition using both speech and non-speech utterances DTT Landry, Q He, H Yan, Y Li Global Scientific Journals 8, 1793-1798, 2020 | 14 | 2020 |
| Detecting laughter in spontaneous speech by constructing laughter bouts YX Li, QH He International Journal of Speech Technology 14, 211-225, 2011 | 14 | 2011 |
