Qiuqiang Kong

My publications

Publications

Ren Zhao, Han Jing, Schuller Bjorn W, Plumbley Mark D, Kong Qiuqiang (2020)CAA-Net: Conditional Atrous CNNs with Attention for Explainable Device-robust Acoustic Scene Classification, In: IEEE Transactions on Multimedia(X)pp. 1-1 IEEE
Sobieraj Iwona, Kong Qiuqiang, Plumbley Mark (2017)Masked Non-negative Matrix Factorization for Bird Detection Using Weakly Labeled Data, In: EUSIPCO 2017 Proceedings IEEE
Ren Zhao, Kong Qiuqiang, Han Jing, Plumbley Mark, Schuller Björn W (2019)ATTENTION-BASED ATROUS CONVOLUTIONAL NEURAL NETWORKS: VISUALISATION AND UNDERSTANDING PERSPECTIVES OF ACOUSTIC SCENES, In: 2019 Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019) IEEE
Kong Qiuqiang, Xu Yong, Wang Wenwu, Plumbley Mark (2020)Sound Event Detection of Weakly Labelled Data with CNN-Transformer and Automatic Threshold Optimization, In: IEEE/ACM Transactions on Audio, Speech and Language Processing28pp. 2450-2460 Institute of Electrical and Electronics Engineers
Wei Shengyun, Xu Kele, Wang Dezhi, Liao Feifan, Wang Huaimin, Kong Qiuqiang (2018)Sample mixed-based data augmentation for domestic audio tagging, In: DCASE 2018 Workshop
Hou Yuanbo, Kong Qiuqiang, Wang Jun, Li Shengchen (2018)Polyphonic audio tagging with sequentially labelled data using CRNN with learnable gated linear units, In: DCASE2018 Workshop
Hou Yuanbo, Kong Qiuqiang, Li Shengchen, Plumbley Mark D. (2019)Sound event detection with sequentially labelled data based on Connectionist temporal classification and unsupervised clustering, In: Proceedings of the 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019) Institute of Electrical and Electronics Engineers (IEEE)
Xu Yong, Kong Qiuqiang, Wang Wenwu, Plumbley Mark (2017)Surrey-CVSSP system for DCASE2017 challenge task 4, In: Virtanen Tuomas, Mesaros Annamaria, Heittola Toni, Diment Aleksandr, Vincent Emmanuel, Benetos Emmanouil, Martinez Elizalde Benjamin (eds.), Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop (DCASE2017) Tampere University of Technology. Laboratory of Signal Processing
Kong Qiuqiang, Xu Yong, Iqbal Turab, Cao Yin, Wang Wenwu, Plumbley Mark D. (2019)Acoustic scene generation with conditional SampleRNN, In: Proceedings of the 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019) Institute of Electrical and Electronics Engineers (IEEE)
Kong Qiuqiang, Xu Yong, Wang Wenwu, Plumbley Mark (2017)A joint detection-classification model for audio tagging of weakly labelled data, In: Proceedings of ICASSP 2017 IEEE
Plumbley Mark D., Wang Wenwu, Zermini Alfredo, Kong Qiuqiang, Xu Yong (2018)Improving reverberant speech separation with binaural cues using temporal context and convolutional neural networks, In: Deville Y, Gannot S, Mason R, Plumbley Mark, Ward D (eds.), Latent Variable Analysis and Signal Separation. LVA/ICA 2018. Lecture Notes in Computer Science10891pp. 361-371 Springer
Xu Yong, Kong Qiuqiang, Wang Wenwu, Plumbley Mark (2018)Large-scale weakly supervised audio classification using gated convolutional neural network, In: Proceedings of 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp. 121-125 IEEE
Koike Tomoya, Kong Qiuqiang, Plumbley Mark (2020)Audio for Audio is Better? An Investigation on Transfer Learning Models for Heart Sound Classification, In: 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Iqbal Turab, Kong Qiuqiang, Plumbley Mark D, Wang Wenwu (2018)General-purpose audio tagging from noisy labels using convolutional neural networks, In: Plumbley Mark D, Kroos Christian, Bello JP, Richard G, Ellis DPW, Mesaros A (eds.), Proceedings of the Detection and Classification of Acoustic Scenes and Events 2018 Workshop (DCASE2018pp. 212-216 Tampere University of Technology
Kong Qiuqiang, Wang Yuxuan, Song Xuchen, Cao Yin, Wang Wenwu, Plumbley Mark D. Source separation with weakly labelled data: An approach to computational auditory scene analysis, In: ICASSP 2020
Iqbal Turab, Cao Yin, Kong Qiuqiang, Plumbley Mark D., Wang Wenwu Learning with Out-of-Distribution Data for Audio Classification, In: International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Kong Qiuqiang, Iqbal Turab, Xu Yong, Wang Wenwu, Plumbley Mark D (2018)DCASE 2018 Challenge Surrey Cross-task convolutional neural network baseline, In: DCASE2018 Workshop
Iqbal Turab, Xu Yong, Kong Qiuqiang, Wang Wenwu (2018)Capsule Routing for Sound Event Detection, In: Proceedings of 2018 26th European Signal Processing Conference (EUSIPCO)pp. 2255-2259 IEEE
Kong Qiuqiang, Xu Yong, Jackson Philip J.B., Wang Wenwu, Plumbley Mark D. (2019)Single-Channel Signal Separation and Deconvolution with Generative Adversarial Networks, In: Kraus Sarit (eds.), Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligencepp. 2747-2753 International Joint Conferences on Artificial Intelligence
Cao Yin, Kong Qiuqiang, Iqbal Turab, An Fengyan, Wang Wenwu, Plumbley Mark D. (2019)Polyphonic sound event detection and localization using a two-stage strategy, In: Mandel Michael, Salamon Justin, Ellis Daniel P. W (eds.), Proceedings of Detection and Classification of Acoustic Scenes and Events Workshop (DCASE 2019)pp. pp 30-34 New York University
Ren Zhao, Kong Qiuqiang, Qian Kun, Plumbley Mark D, Schuller Bj¨orn W (2018)Attention-based Convolutional Neural Networks for Acoustic Scene Classification, In: DCASE 2018 Workshop Proceedings
Kong Qiuqiang, Xu Yong, Wang Wenwu, Plumbley Mark (2018)Audio set classification with attention model: a probabilistic perspective, In: Proceedings of 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp. 316-320 IEEE
Ren Zhao, Han Jing, Cummins Nicholas, Kong Qiuqiang, Plumbley Mark, Schuller Björn W. (2019)Multi-instance Learning for Bipolar Disorder Diagnosis using Weakly Labelled Speech Data, In: Proceedings of DPH 2019: 9th International Digital Public Health Conference 2019 Association for Computing Machinery (ACM)
Kong Qiuqiang, Xu Yong, Wang Wenwu, Plumbley Mark D (2018)A joint separation-classification model for sound event detection of weakly labelled data, In: Proceedings of the 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp. 321-325 Institute of Electrical and Electronics Engineers (IEEE)
Xu Yong, Kong Qiuqiang, Huang Qiang, Wang Wenwu, Plumbley Mark (2017)Convolutional Gated Recurrent Neural Network Incorporating Spatial Features for Audio Tagging, In: IJCNN 2017 Conference Proceedings IEEE
Xu Yong, Kong Qiuqiang, Huang Qiang, Wang Wenwu, Plumbley Mark (2017)Attention and Localization based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging, In: Proceedings of Interspeech 2017pp. 3083-3087 ISCA
Zermini Alfredo, Wang Wenwu, Kong Qiuqiang, Xu Yong, Plumbley Mark (2017)Audio source separation with deep neural networks using the dropout algorithm, In: Signal Processing with Adaptive Sparse Structured Representations (SPARS) 2017 Book of Abstractspp. 1-2 Instituto de Telecomunicações
Iqbal Turab, Wang Yuxuan, Wang Wenwu, Plumbley Mark D, Kong Qiuqiang, Cao Yin (2020)PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition, In: IEEE/ACM transactions on audio, speech, and language processing a publication of the Signal Processing Society.28pp. 2880-2894 IEEE
Kong Qiuqiang, Xu Yong, Sobieraj Iwona, Wang Wenwu, Plumbley Mark D. (2019)Sound Event Detection and Time-Frequency Segmentation from Weakly Labelled Data, In: IEEE/ACM Transactions on Audio, Speech, and Language Processing27(4)pp. 777-787 Institute of Electrical and Electronics Engineers (IEEE)
Kong Qiuqiang, Yu Changsong, Xu Yong, Iqbal Turab, Wang Wenwu, Plumbley Mark D. (2019)Weakly Labelled AudioSet Tagging With Attention Neural Networks, In: IEEE/ACM Transactions on Audio, Speech, and Language Processing27(11)pp. 1791-1802 IEEE
Yu Changsong, Barsim Karim Said, Kong Qiuqiang, Yang Bin (2018)Multi-level attention model for weakly supervised audio classification, In: DCASE 2018 Workshop
Kong Qiuqiang, Sobieraj Iwona, Wang Wenwu, Plumbley Mark (2016)Deep Neural Network Baseline for DCASE Challenge 2016, In: Proceedings of DCASE 2016