Следене
Qiuqiang Kong
Qiuqiang Kong
Потвърден имейл адрес: ee.cuhk.edu.hk - Начална страница
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Позовавания
Позовавания
Година
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
9392020
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
2662018
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
1242020
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
1172018
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 27 (4), 777-787, 2019
1142019
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
1142017
Polyphonic Sound Event Detection and Localization using a Two-Stage Strategy
Y Cao, Q Kong, T Iqbal, F An, W Wang, MD Plumbley
Workshop on Detection and Classification of Acoustic Scenes and Events, 30-34, 2019
1122019
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
942019
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
932019
High-resolution piano transcription with pedals by regressing onset and offset times
Q Kong, B Li, X Song, Y Wan, Y Wang
IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 3707-3717, 2021
872021
Deep neural network baseline for DCASE challenge 2016
Q Kong, I Sobieraj, W Wang, M Plumbley
Proceedings of DCASE 2016, 2016
842016
Decoupling magnitude and phase estimation with deep resunet for music source separation
Q Kong, Y Cao, H Liu, K Choi, Y Wang
arXiv preprint arXiv:2109.05418, 2021
782021
Attention-based convolutional neural networks for acoustic scene classification
Z Ren, Q Kong, K Qian, MD Plumbley, B Schuller
Workshop on the Detection and Classification of Acoustic Scenes and Events …, 2018
782018
Giantmidi-piano: A large-scale midi dataset for classical piano music
Q Kong, B Li, J Chen, Y Wang
arXiv preprint arXiv:2010.07061, 2020
762020
Multi-level attention model for weakly supervised audio classification
C Yu, KS Barsim, Q Kong, B Yang
Workshop on the Detection and Classification of Acoustic Scenes and Events …, 2018
762018
An improved event-independent network for polyphonic sound event localization and detection
Y Cao, T Iqbal, Q Kong, F An, W Wang, MD Plumbley
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
752021
DCASE 2018 Challenge baseline with convolutional neural networks
Q Kong, T Iqbal, Y Xu, W Wang, MD Plumbley
Workshop on the Detection and Classification of Acoustic Scenes and Events …, 2018
73*2018
Attention-based atrous convolutional neural networks: Visualisation and understanding perspectives of acoustic scenes
Z Ren, Q Kong, J Han, MD Plumbley, BW Schuller
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
672019
Attention and localization based on a deep convolutional recurrent model for weakly supervised audio tagging
Y Xu, Q Kong, Q Huang, W Wang, MD Plumbley
arXiv preprint arXiv:1703.06052, 2017
602017
Deep learning-based energy disaggregation and on/off detection of household appliances
J Jiang, Q Kong, MD Plumbley, N Gilbert, M Hoogendoorn, DM Roijers
ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (3), 1-21, 2021
592021
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