Kun Qian

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 96

Top Venues

EMBC

CoRR

IEEE Trans. Comput. Soc. Syst.

ICASSP

Technical University of Munich, Germany (PHD)

Education History

Technical University of Munich, Germany

PHD

Publications

Zhao Ren, Yi Chang, Thanh Tam Nguyen, Yang Tan, Kun Qian, Björn W. Schuller
A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era. IEEE Comput. Intell. Mag. 19 (3) (2024)
Chen Xu, Tian Lan, Changlong Yu, Wei Wang, Jun Gao, Yu Ji, Qunxi Dong, Kun Qian, Piji Li, Wei Bi, Bin Hu
DECIDER: A Rule-Controllable Decoding Strategy for Language Generation by Imitating Dual-System Cognitive Theory. CoRR (2024)
Jian Shen, Kexin Zhu, Zeguang Zhao, Huajian Liang, Yu Ma, Kun Qian, Yanan Zhang, Qunxi Dong
A Novel Intelligence Evaluation Framework: Exploring the Psychophysiological Patterns of Gifted Students. IEEE Trans. Comput. Soc. Syst. 11 (2) (2024)
Roneel V. Sharan, Kun Qian, Yoshiharu Yamamoto
Automated Cough Sound Analysis for Detecting Childhood Pneumonia. IEEE J. Biomed. Health Informatics 28 (1) (2024)
Jiangjian Xie, Yuwei Shi, Dongming Ni, Manuel Milling, Shuo Liu, Junguo Zhang, Kun Qian, Björn W. Schuller
Automatic Bird Sound Source Separation Based on Passive Acoustic Devices in Wild Environment. IEEE Internet Things J. 11 (9) (2024)
Chengyu Yuan, Hao Xiong, Guoqing Shangguan, Hualei Shen, Dong Liu, Haojie Zhang, Zhonghua Liu, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto, Shlomo Berkovsky
Deep Fusion of Shifted MLP and CNN for Medical Image Segmentation. ICASSP (2024)
Yi Chang, Zhao Ren, Zhonghao Zhao, Thanh Tam Nguyen, Kun Qian, Tanja Schultz, Björn W. Schuller
Speech Emotion Recognition under Resource Constraints with Data Distillation. CoRR (2024)
Lixian Zhu, Wanyong Qiu, Yu Ma, Fuze Tian, Mengkai Sun, Zhihua Wang, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller
LEPCNet: A Lightweight End-to-End PCG Classification Neural Network Model for Wearable Devices. IEEE Trans. Instrum. Meas. 73 (2024)
Bin Hu, Lixian Zhu, Qunxi Dong, Kun Qian, Hanshu Cai, Fuze Tian
Physiological Electrosignal Asynchronous Acquisition Technology: Insight and Perspectives. IEEE Trans. Comput. Soc. Syst. 11 (1) (2024)
Tomoya Koike, Zhihua Wang, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
An Investigation on Data Augmentation and Multiple Instance Learning for Diagnosis of COVID-19 from Speech and Cough Sound. ICCE-Taiwan (2023)
Zhihua Wang, Kun Qian, Houguang Liu, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
Exploring interpretable representations for heart sound abnormality detection. Biomed. Signal Process. Control. 82 (2023)
Zhao Ren, Kun Qian, Tanja Schultz, Björn W. Schuller
An Overview of the ICASSP Special Session on AI Security and Privacy in Speech and Audio Processing. MMAsia (Workshops) (2023)
Yongzi Yu, Wanyong Qiu, Chen Quan, Kun Qian, Zhihua Wang, Yu Ma, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
Federated Intelligent Terminals Facilitate Stuttering Monitoring. ICASSP (2023)
Luyu Chen, Lin Shen, Dan Yu, Zhihua Wang, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
Multi-Track Music Generation with WGAN-GP and Attention Mechanisms. GCCE (2023)
Minki Cho, Zhonghao Zhao, Zhihua Wang, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller
Snore Sound Recognition via an Explainable Capsule Network. GCCE (2023)
Yi Chang, Zhao Ren, Thanh Tam Nguyen, Kun Qian, Björn W. Schuller
Knowledge Transfer for on-Device Speech Emotion Recognition With Neural Structured Learning. ICASSP (2023)
Meishu Song, Andreas Triantafyllopoulos, Zijiang Yang, Hiroki Takeuchi, Toru Nakamura, Akifumi Kishi, Tetsuro Ishizawa, Kazuhiro Yoshiuchi, Xin Jing, Vincent Karas, Zhonghao Zhao, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
Daily Mental Health Monitoring from Speech: A Real-World Japanese Dataset and Multitask Learning Analysis. ICASSP (2023)
Zhao Ren, Yi Chang, Thanh Tam Nguyen, Yang Tan, Kun Qian, Björn W. Schuller
A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era. CoRR (2023)
Meishu Song, Zijiang Yang, Andreas Triantafyllopoulos, Toru Nakamura, Yongxin Zhang, Zhao Ren, Hiroki Takeuchi, Akifumi Kishi, Tetsuro Ishizawa, Kazuhiro Yoshiuchi, Haojie Zhang, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
Crossmodal Transformer on Multi-Physical Signals for Personalised Daily Mental Health Prediction. ICDM (Workshops) (2023)
Zhihao Bao, Kun Qian, Zhonghao Zhao, Mengkai Sun, Ruolan Huang, Dewen Xu, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller
Somatisation Disorder Detection via Speech: Introducing a Self-Supervised Learning Model. EMBC (2023)
Jingtan Li, Mengkai Sun, Zhonghao Zhao, Xingcan Li, Gaigai Li, Chen Wu, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller
Battling with the low-resource condition for snore sound recognition: introducing a meta-learning strategy. EURASIP J. Audio Speech Music. Process. 2023 (1) (2023)
Runze Ge, Zhihua Wang, Zhonghao Zhao, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
An End-to-End Model for Speech-based Somatisation Disorder Detection. GCCE (2023)
Guihua Tian, Kun Qian, Xinyi Li, Mengkai Sun, Hao Jiang, Wanyong Qiu, Xiaoming Xie, Zhonghao Zhao, Liangqing Huang, Siyan Luo, Tianxing Guo, Ran Cai, Zhihua Wang, Björn W. Schuller
Can a Holistic View Facilitate the Development of Intelligent Traditional Chinese Medicine? A Survey. IEEE Trans. Comput. Soc. Syst. 10 (2) (2023)
Yu Ma, Yuting Huang, Kaixiang Yuan, Guangzhe Xuan, Yongzi Yu, Hengrui Zhong, Rui Li, Jian Shen, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
Explainable Stuttering Recognition Using Axial Attention. ICIC (3) (2023)
Jian Shen, Yanan Zhang, Huajian Liang, Zeguang Zhao, Kexin Zhu, Kun Qian, Qunxi Dong, Xiaowei Zhang, Bin Hu
Depression Recognition From EEG Signals Using an Adaptive Channel Fusion Method via Improved Focal Loss. IEEE J. Biomed. Health Informatics 27 (7) (2023)
Cuiping Zhu, Zhonghao Zhao, Yang Tan, Mengkai Sun, Kun Qian, Tao Jiang, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
Less is More: A Novel Feature Extraction Method for Heart Sound Classification via Fractal Transformation. EMBC (2023)
Zikai Song, Lixian Zhu, Yiyan Wang, Mengkai Sun, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller
Cutting Weights of Deep Learning Models for Heart Sound Classification: Introducing a Knowledge Distillation Approach. EMBC (2023)
Fuze Tian, Lixian Zhu, Qiuxia Shi, Rui Wang, Lixin Zhang, Qunxi Dong, Kun Qian, Qinglin Zhao, Bin Hu
The Three-Lead EEG Sensor: Introducing an EEG-Assisted Depression Diagnosis System Based on Ant Lion Optimization. IEEE Trans. Biomed. Circuits Syst. 17 (6) (2023)
Roneel V. Sharan, Kun Qian, Yoshiharu Yamamoto
Detecting Childhood Pneumonia Using Handcrafted and Deep Learning Cough Sound Features and Multilayer Perceptron. EMBC (2023)
Gang Luo, Shuting Sun, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
How does Music Affect Your Brain? A Pilot Study on EEG and Music Features for Automatic Analysis. EMBC (2023)
Kun Qian, Björn W. Schuller, Xiaohong Guan, Bin Hu
Intelligent Music Intervention for Mental Disorders: Insights and Perspectives. IEEE Trans. Comput. Soc. Syst. 10 (1) (2023)
Yang Tan, Zhihua Wang, Kun Qian, Zhihao Bao, Zheyu Cao, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller
AMNet: Introducing an Adaptive Mel-Spectrogram End-to-End Neural Network for Heart Sound Classification. HealthCom (2023)
Yi Chang, Zhao Ren, Thanh Tam Nguyen, Kun Qian, Björn W. Schuller
Knowledge Transfer For On-Device Speech Emotion Recognition with Neural Structured Learning. CoRR (2022)
Lixian Zhu, Kun Qian, Zhihua Wang, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller
Heart Sound Classification based on Residual Shrinkage Networks. EMBC (2022)
Liang Zhang, Johann Li, Ping Li, Xiaoyuan Lu, Maoguo Gong, Peiyi Shen, Guangming Zhu, Syed Afaq Ali Shah, Mohammed Bennamoun, Kun Qian, Björn W. Schuller
MEDAS: an open-source platform as a service to help break the walls between medicine and informatics. Neural Comput. Appl. 34 (8) (2022)
Björn W. Schuller, Johanna Löchner, Kun Qian, Bin Hu
Digital Mental Health - Breaking a Lance for Prevention. IEEE Trans. Comput. Soc. Syst. 9 (6) (2022)
Yang Tan, Zhihua Wang, Kun Qian, Bin Hu, Shiliang Zhao, Björn W. Schuller, Yoshiharu Yamamoto
Heart Sound Classification based on Fractional Fourier Transformation Entropy. LifeTech (2022)
Lixian Zhu, Chang Yan, Xiaokun Jin, Fuze Tian, Yanan Zhao, Yu Ma, Yeqi Jia, Qunxi Dong, Peijing Rong, Kun Qian, Bin Hu
When Traditional Chinese Medicine Meets AI: A Novel Depression Treatment Paradigm based on Transcutaneous Vagus Nerve Stimulation. ACIIW (2022)
Wanyong Qiu, Kun Qian, Zhihua Wang, Yi Chang, Zhihao Bao, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
A Federated Learning Paradigm for Heart Sound Classification. EMBC (2022)
Shuai Yu, Yiwei Ding, Kun Qian, Bin Hu, Wei Li, Björn W. Schuller
A Glance-and-Gaze Network for Respiratory Sound Classification. ICASSP (2022)
Shuo Liu, Adria Mallol-Ragolta, Emilia Parada-Cabaleiro, Kun Qian, Xin Jing, Alexander Kathan, Bin Hu, Björn W. Schuller
Audio self-supervised learning: A survey. Patterns 3 (12) (2022)
Shuo Liu, Adria Mallol-Ragolta, Tianhao Yan, Kun Qian, Emilia Parada-Cabaleiro, Bin Hu, Björn W. Schuller
Capturing Time Dynamics From Speech Using Neural Networks for Surgical Mask Detection. IEEE J. Biomed. Health Informatics 26 (8) (2022)
Shuo Liu, Adria Mallol-Ragolta, Emilia Parada-Cabaleiro, Kun Qian, Xin Jing, Alexander Kathan, Bin Hu, Björn W. Schuller
Audio Self-supervised Learning: A Survey. CoRR (2022)
Björn W. Schuller, Johanna Löchner, Kun Qian, Bin Hu
COVID-19's Impact on Mental Health - The Hour of Computational Aid? IEEE Trans. Comput. Soc. Syst. 9 (4) (2022)
Kun Qian, Tomoya Koike, Toru Nakamura, Björn W. Schuller, Yoshiharu Yamamoto
Learning Multimodal Representations for Drowsiness Detection. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Bin Hu, Kun Qian, Qunxi Dong, Yuejia Luo, Yoshiharu Yamamoto, Björn W. Schuller
Psychological Field Versus Physiological Field: From Qualitative Analysis to Quantitative Modeling of the Mental Status. IEEE Trans. Comput. Soc. Syst. 9 (5) (2022)
Bin Hu, Jian Shen, Lixian Zhu, Qunxi Dong, Hanshu Cai, Kun Qian
Fundamentals of Computational Psychophysiology: Theory and Methodology. IEEE Trans. Comput. Soc. Syst. 9 (2) (2022)
Kun Qian, Tanja Schultz, Björn W. Schuller
An Overview of the FIRST ICASSP Special Session on Computer Audition for Healthcare. ICASSP (2022)
Kun Qian, Liang Zhang, Kezhi Li, Juan Liu
Editorial: Machine Learning for Non/Less-Invasive Methods in Health Informatics. Frontiers Digit. Health 3 (2021)
Kun Qian, Björn W. Schuller, Yoshiharu Yamamoto
Recent Advances in Computer Audition for Diagnosing COVID-19: An Overview. LifeTech (2021)
Kun Qian, Maximilian Schmitt, Huaiyuan Zheng, Tomoya Koike, Jing Han, Juan Liu, Wei Ji, Junjun Duan, Meishu Song, Zijiang Yang, Zhao Ren, Shuo Liu, Zixing Zhang, Yoshiharu Yamamoto, Björn W. Schuller
Computer Audition for Fighting the SARS-CoV-2 Corona Crisis - Introducing the Multitask Speech Corpus for COVID-19. IEEE Internet Things J. 8 (21) (2021)
Kun Qian, Tomoya Koike, Kota Tamada, Toru Takumi, Björn W. Schuller, Yoshiharu Yamamoto
Sensing the Sounds of Silence: A Pilot Study on the Detection of Model Mice of Autism Spectrum Disorder from Ultrasonic Vocalisations. EMBC (2021)
Zhao Ren, Kun Qian, Fengquan Dong, Zhenyu Dai, Yoshiharu Yamamoto, Björn W. Schuller
Deep Attention-based Representation Learning for Heart Sound Classification. CoRR (2021)
Tomoya Koike, Kun Qian, Björn W. Schuller, Yoshiharu Yamamoto
Transferring Cross-Corpus Knowledge: An Investigation on Data Augmentation for Heart Sound Classification. EMBC (2021)
Meishu Song, Kun Qian, Bin Chen, Keiju Okabayashi, Emilia Parada-Cabaleiro, Zijiang Yang, Shuo Liu, Kazumasa Togami, Ichiro Hidaka, Yueheng Wang, Björn W. Schuller, Yoshiharu Yamamoto
Predicting Group Work Performance from Physical Handwriting Features in a Smart English Classroom. ICDSP (2021)
Zengjie Zhang, Kun Qian, Björn W. Schuller, Dirk Wollherr
An Online Robot Collision Detection and Identification Scheme by Supervised Learning and Bayesian Decision Theory. IEEE Trans Autom. Sci. Eng. 18 (3) (2021)
Kun Qian, Zixing Zhang, Yoshiharu Yamamoto, Björn W. Schuller
Artificial Intelligence Internet of Things for the Elderly: From Assisted Living to Health-Care Monitoring. IEEE Signal Process. Mag. 38 (4) (2021)
Zixing Zhang, Ding Liu, Jing Han, Kun Qian, Björn W. Schuller
Learning audio sequence representations for acoustic event classification. Expert Syst. Appl. 178 (2021)
Björn W. Schuller, Dagmar M. Schuller, Kun Qian, Juan Liu, Huaiyuan Zheng, Xiao Li
COVID-19 and Computer Audition: An Overview on What Speech & Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis. Frontiers Digit. Health 3 (2021)
Jun Huang, Linchuan Xu, Kun Qian, Jing Wang, Kenji Yamanishi
Multi-label learning with missing and completely unobserved labels. Data Min. Knowl. Discov. 35 (3) (2021)
Kun Qian, Christoph Janott, Maximilian Schmitt, Zixing Zhang, Clemens Heiser, Werner Hemmert, Yoshiharu Yamamoto, Björn W. Schuller
Can Machine Learning Assist Locating the Excitation of Snore Sound? A Review. IEEE J. Biomed. Health Informatics 25 (4) (2021)
Kun Qian, Tomoya Koike, Kazuhiro Yoshiuchi, Björn W. Schuller, Yoshiharu Yamamoto
Can Appliances Understand the Behavior of Elderly Via Machine Learning? A Feasibility Study. IEEE Internet Things J. 8 (10) (2021)
Kun Qian, Björn W. Schuller, Yoshiharu Yamamoto
Recent Advances in Computer Audition for Diagnosing COVID-19: An Overview. CoRR (2020)
Maria Littmann, Katharina Selig, Liel Cohen-Lavi, Yotam Frank, Peter Hönigschmid, Evans Kataka, Anja Mösch, Kun Qian, Avihai Ron, Sebastian Schmid, Adam Sorbie, Liran Szlak, Ayana Dagan-Wiener, Nir Ben-Tal, Masha Y. Niv, Daniel Razansky, Björn W. Schuller, Donna P. Ankerst, Tomer Hertz, Burkhard Rost
Validity of machine learning in biology and medicine increased through collaborations across fields of expertise. Nat. Mach. Intell. 2 (1) (2020)
Jing Han, Kun Qian, Meishu Song, Zijiang Yang, Zhao Ren, Shuo Liu, Juan Liu, Huaiyuan Zheng, Wei Ji, Tomoya Koike, Xiao Li, Zixing Zhang, Yoshiharu Yamamoto, Björn W. Schuller
An Early Study on Intelligent Analysis of Speech Under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety. INTERSPEECH (2020)
Fengquan Dong, Kun Qian, Zhao Ren, Alice Baird, Xinjian Li, Zhenyu Dai, Bo Dong, Florian Metze, Yoshiharu Yamamoto, Björn W. Schuller
Machine Listening for Heart Status Monitoring: Introducing and Benchmarking HSS - The Heart Sounds Shenzhen Corpus. IEEE J. Biomed. Health Informatics 24 (7) (2020)
Zixing Zhang, Jing Han, Kun Qian, Christoph Janott, Yanan Guo, Björn W. Schuller
Snore-GANs: Improving Automatic Snore Sound Classification With Synthesized Data. IEEE J. Biomed. Health Informatics 24 (1) (2020)
Yueheng Wang, Kun Qian, Jacob Nelson, Hiromichi Yagi, Akifumi Kishi, Kenji Morita, Yoshiharu Yamamoto
Can Affective Computing Better the Mental Status of the Electronic Games Player? A Perspective. LifeTech (2020)
Tomoya Koike, Kun Qian, Björn W. Schuller, Yoshiharu Yamamoto
Learning Higher Representations from Pre-Trained Deep Models with Data Augmentation for the COMPARE 2020 Challenge Mask Task. INTERSPEECH (2020)
Kun Qian, Xiao Li, Haifeng Li, Shengchen Li, Wei Li, Zuoliang Ning, Shuai Yu, Limin Hou, Gang Tang, Jing Lu, Feng Li, Shufei Duan, Chengcheng Du, Yao Cheng, Yujun Wang, Lin Gan, Yoshiharu Yamamoto, Björn W. Schuller
Computer Audition for Healthcare: Opportunities and Challenges. Frontiers Digit. Health 2 (2020)
Liang Zhang, Johann Li, Ping Li, Xiaoyuan Lu, Peiyi Shen, Guangming Zhu, Syed Afaq Ali Shah, Mohammed Bennamoun, Kun Qian, Björn W. Schuller
MeDaS: An open-source platform as service to help break the walls between medicine and informatics. CoRR (2020)
Tomoya Koike, Kun Qian, Qiuqiang Kong, Mark D. Plumbley, Björn W. Schuller, Yoshiharu Yamamoto
Audio for Audio is Better? An Investigation on Transfer Learning Models for Heart Sound Classification. EMBC (2020)
Jing Han, Kun Qian, Meishu Song, Zijiang Yang, Zhao Ren, Shuo Liu, Juan Liu, Huaiyuan Zheng, Wei Ji, Tomoya Koike, Xiao Li, Zixing Zhang, Yoshiharu Yamamoto, Björn W. Schuller
An Early Study on Intelligent Analysis of Speech under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety. CoRR (2020)
Tomoya Koike, Kun Qian, Björn W. Schuller, Yoshiharu Yamamoto
deepSELF: An Open Source Deep Self End-to-End Learning Framework. CoRR (2020)
Yu Qiao, Kun Qian, Ziping Zhao
Learning Higher Representations from Bioacoustics: A Sequence-to-Sequence Deep Learning Approach for Bird Sound Classification. ICONIP (5) (2020)
Björn W. Schuller, Dagmar M. Schuller, Kun Qian, Juan Liu, Huaiyuan Zheng, Xiao Li
COVID-19 and Computer Audition: An Overview on What Speech & Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis. CoRR (2020)
Zixing Zhang, Jing Han, Kun Qian, Christoph Janott, Yanan Guo, Björn W. Schuller
Snore-GANs: Improving Automatic Snore Sound Classification with Synthesized Data. CoRR (2019)
Kun Qian, Hiroyuki Kuromiya, Zhao Ren, Maximilian Schmitt, Zixing Zhang, Toru Nakamura, Kazuhiro Yoshiuchi, Björn W. Schuller, Yoshiharu Yamamoto
Automatic Detection of Major Depressive Disorder via a Bag-of-Behaviour-Words Approach. ISICDM (2019)
Kun Qian, Hiroyuki Kuromiya, Zixing Zhang, Jinhyuk Kim, Toru Nakamura, Kazuhiro Yoshiuchi, Björn W. Schuller, Yoshiharu Yamamoto
Teaching Machines to Know Your Depressive State: On Physical Activity in Health and Major Depressive Disorder. EMBC (2019)
Kun Qian, Zhao Ren, Fengquan Dong, Wen-Hsing Lai, Björn W. Schuller, Yoshiharu Yamamoto
Deep Wavelets for Heart Sound Classification. ISPACS (2019)
Zhao Ren, Kun Qian, Yebin Wang, Zixing Zhang, Vedhas Pandit, Alice Baird, Björn W. Schuller
Deep Scalogram Representations for Acoustic Scene Classification. IEEE CAA J. Autom. Sinica 5 (3) (2018)
Björn W. Schuller, Stefan Steidl, Anton Batliner, Peter B. Marschik, Harald Baumeister, Fengquan Dong, Simone Hantke, Florian B. Pokorny, Eva-Maria Rathner, Katrin D. Bartl-Pokorny, Christa Einspieler, Dajie Zhang, Alice Baird, Shahin Amiriparian, Kun Qian, Zhao Ren, Maximilian Schmitt, Panagiotis Tzirakis, Stefanos Zafeiriou
The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical & Self-Assessed Affect, Crying & Heart Beats. INTERSPEECH (2018)
Shahin Amiriparian, Maximilian Schmitt, Nicholas Cummins, Kun Qian, Fengquan Dong, Björn W. Schuller
Deep Unsupervised Representation Learning for Abnormal Heart Sound Classification. EMBC (2018)
Zixing Zhang, Jing Han, Kun Qian, Björn W. Schuller
Evolving Learning for Analysing Mood-Related Infant Vocalisation. INTERSPEECH (2018)
Christoph Janott, Maximilian Schmitt, Yue Zhang, Kun Qian, Vedhas Pandit, Zixing Zhang, Clemens Heiser, Winfried Hohenhorst, Michael Herzog, Werner Hemmert, Björn W. Schuller
Snoring classified: The Munich-Passau Snore Sound Corpus. Comput. Biol. Medicine 94 (2018)
Zhao Ren, Nicholas Cummins, Vedhas Pandit, Jing Han, Kun Qian, Björn W. Schuller
Learning Image-based Representations for Heart Sound Classification. DH (2018)
Zhao Ren, Qiuqiang Kong, Kun Qian, Mark D. Plumbley, Björn W. Schuller
Attention-based convolutional neural networks for acoustic scene classification. DCASE (2018)
Kun Qian, Christoph Janott, Jun Deng, Clemens Heiser, Winfried Hohenhorst, Michael Herzog, Nicholas Cummins, Björn W. Schuller
Snore sound recognition: On wavelets and classifiers from deep nets to kernels. EMBC (2017)
Björn W. Schuller, Stefan Steidl, Anton Batliner, Elika Bergelson, Jarek Krajewski, Christoph Janott, Andrei Amatuni, Marisa Casillas, Amanda Seidl, Melanie Soderstrom, Anne S. Warlaumont, Guillermo Hidalgo, Sebastian Schnieder, Clemens Heiser, Winfried Hohenhorst, Michael Herzog, Maximilian Schmitt, Kun Qian, Yue Zhang, George Trigeorgis, Panagiotis Tzirakis, Stefanos Zafeiriou
The INTERSPEECH 2017 Computational Paralinguistics Challenge: Addressee, Cold & Snoring. INTERSPEECH (2017)
Zhao Ren, Vedhas Pandit, Kun Qian, Zijiang Yang, Zixing Zhang, Björn W. Schuller
Deep Sequential Image Features on Acoustic Scene Classification. DCASE (2017)
Kun Qian, Christoph Janott, Vedhas Pandit, Zixing Zhang, Clemens Heiser, Winfried Hohenhorst, Michael Herzog, Werner Hemmert, Björn W. Schuller
Classification of the Excitation Location of Snore Sounds in the Upper Airway by Acoustic Multifeature Analysis. IEEE Trans. Biomed. Eng. 64 (8) (2017)
Jun Deng, Nicholas Cummins, Maximilian Schmitt, Kun Qian, Fabien Ringeval, Björn W. Schuller
Speech-based Diagnosis of Autism Spectrum Condition by Generative Adversarial Network Representations. DH (2017)
Kun Qian, Zhao Ren, Vedhas Pandit, Zijiang Yang, Zixing Zhang, Björn W. Schuller
Wavelets Revisited for the Classification of Acoustic Scenes. DCASE (2017)
Kun Qian, Christoph Janott, Zixing Zhang, Clemens Heiser, Björn W. Schuller
Wavelet features for classification of vote snore sounds. ICASSP (2016)
Maximilian Schmitt, Christoph Janott, Vedhas Pandit, Kun Qian, Clemens Heiser, Werner Hemmert, Björn W. Schuller
A Bag-of-Audio-Words Approach for Snore Sounds' Excitation Localisation. ITG Symposium on Speech Communication (2016)
Jian Guo, Kun Qian, Huijie Xu, Christoph Janott, Björn W. Schuller, Satoshi Matsuoka
GPU-based fast signal processing for large amounts of snore sound data. GCCE (2016)
Kun Qian, Zixing Zhang, Fabien Ringeval, Björn W. Schuller
Bird sounds classification by large scale acoustic features and extreme learning machine. GlobalSIP (2015)
Kun Qian, Zhiyong Xu, Huijie Xu, Yaqi Wu, Zhao Zhao
Automatic detection, segmentation and classification of snore related signals from overnight audio recording. IET Signal Process. 9 (1) (2015)
Kun Qian, Zhiyong Xu, Huijie Xu, Boon Poh Ng
Automatic detection of inspiration related snoring signals from original audio recording. ChinaSIP (2014)
Jian Guo, Kun Qian, Zhaomeng Zhu, Gongxuan Zhang, Huijie Xu
A Cloud Computing System for Snore Signals Processing. APPT (2013)

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Publication Activity (10 Years)

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Kun Qian