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Qiang Huang 0007
Person information
- affiliation: University of Surrey, Guildford, UK
Other persons with the same name
- Qiang Huang — disambiguation page
- Qiang Huang 0001
— University of Southern California, Los Angeles, CA, USA
- Qiang Huang 0002
— Beijing Institute of Technology, Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing, China (and 1 more)
- Qiang Huang 0003
— Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, Beijing, China
- Qiang Huang 0004
— Fudan University, State Key Laboratory of Genetic Engineering, Shanghai, China
- Qiang Huang 0005
— Hangzhou Dianzi University, School of Communications Engineering, Hangzhou, China
- Qiang Huang 0006 — University of East Anglia, Norwich, UK
- Qiang Huang 0008 — University of Sheffield,Speech and Hearing Research Group, UK
- Qiang Huang 0009
— Wuhan University, Wuhan, China
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2010 – 2019
- 2018
- [c6]Qiang Huang, Philip J. B. Jackson
, Mark D. Plumbley
, Wenwu Wang:
Synthesis of Images by Two-Stage Generative Adversarial Networks. ICASSP 2018: 1593-1597 - 2017
- [j1]Yong Xu, Qiang Huang, Wenwu Wang, Peter Foster, Siddharth Sigtia, Philip J. B. Jackson
, Mark D. Plumbley
:
Unsupervised Feature Learning Based on Deep Models for Environmental Audio Tagging. IEEE ACM Trans. Audio Speech Lang. Process. 25(6): 1230-1241 (2017) - [c5]Qiang Huang, Yong Xu, Philip J. B. Jackson
, Wenwu Wang, Mark D. Plumbley
:
Fast tagging of natural sounds using marginal co-regularization. ICASSP 2017: 2991-2995 - [c4]Yong Xu, Qiuqiang Kong, Qiang Huang, Wenwu Wang, Mark D. Plumbley
:
Convolutional gated recurrent neural network incorporating spatial features for audio tagging. IJCNN 2017: 3461-3466 - [c3]Yong Xu, Qiuqiang Kong, Qiang Huang, Wenwu Wang, Mark D. Plumbley
:
Attention and Localization Based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging. INTERSPEECH 2017: 3083-3087 - [i5]Yong Xu, Qiuqiang Kong, Qiang Huang, Wenwu Wang, Mark D. Plumbley:
Convolutional Gated Recurrent Neural Network Incorporating Spatial Features for Audio Tagging. CoRR abs/1702.07787 (2017) - [i4]Yong Xu, Qiuqiang Kong, Qiang Huang, Wenwu Wang, Mark D. Plumbley:
Attention and Localization based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging. CoRR abs/1703.06052 (2017) - 2016
- [c2]Yong Xu, Qiang Huang, Wenwu Wang, Philip J. B. Jackson, Mark D. Plumbley:
Fully DNN-Based Multi-Label Regression for Audio Tagging. DCASE 2016: 105-109 - [c1]Yong Xu, Qiang Huang, Wenwu Wang, Mark D. Plumbley:
Hierarchical Learning for DNN-Based Acoustic Scene Classification. DCASE 2016: 110-114 - [i3]Yong Xu, Qiang Huang, Wenwu Wang, Philip J. B. Jackson, Mark D. Plumbley:
Fully DNN-based Multi-label regression for audio tagging. CoRR abs/1606.07695 (2016) - [i2]Yong Xu, Qiang Huang, Wenwu Wang, Peter Foster, Siddharth Sigtia, Philip J. B. Jackson, Mark D. Plumbley:
Fully Deep Neural Networks Incorporating Unsupervised Feature Learning for Audio Tagging. CoRR abs/1607.03681 (2016) - [i1]Yong Xu, Qiang Huang, Wenwu Wang, Mark D. Plumbley:
Hierachical learning for DNN-based acoustic scene classification. CoRR abs/1607.03682 (2016)
Coauthor Index
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