Kun Qian

Orcid: 0000-0002-1918-6453

Affiliations:

Japan Society for the Promotion of Science, Tokyo, Japan
University of Tokyo, Japan (2018 - 2019)
Technical University of Munich, Machine Intelligence and Signal Processing Group, Germany (PhD 2018)

According to our database¹, Kun Qian authored at least 95 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

A Novel Intelligence Evaluation Framework: Exploring the Psychophysiological Patterns of Gifted Students.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., April, 2024

Physiological Electrosignal Asynchronous Acquisition Technology: Insight and Perspectives.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., February, 2024

Automated Cough Sound Analysis for Detecting Childhood Pneumonia.

[BibT_eX]

[DOI]

Roneel V. Sharan

Kun Qian

Yoshiharu Yamamoto

IEEE J. Biomed. Health Informatics, January, 2024

LEPCNet: A Lightweight End-to-End PCG Classification Neural Network Model for Wearable Devices.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2024

DECIDER: A Rule-Controllable Decoding Strategy for Language Generation by Imitating Dual-System Cognitive Theory.

[BibT_eX]

[DOI]

CoRR, 2024

STAA-Net: A Sparse and Transferable Adversarial Attack for Speech Emotion Recognition.

[BibT_eX]

[DOI]

CoRR, 2024

2023

The Three-Lead EEG Sensor: Introducing an EEG-Assisted Depression Diagnosis System Based on Ant Lion Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Circuits Syst., December, 2023

Battling with the low-resource condition for snore sound recognition: introducing a meta-learning strategy.

[BibT_eX]

[DOI]

EURASIP J. Audio Speech Music. Process., December, 2023

Depression Recognition From EEG Signals Using an Adaptive Channel Fusion Method via Improved Focal Loss.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, July, 2023

Can a Holistic View Facilitate the Development of Intelligent Traditional Chinese Medicine? A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., April, 2023

Exploring interpretable representations for heart sound abnormality detection.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., April, 2023

Editorial: Human-centred computer audition: sound, music, and healthcare.

[BibT_eX]

[DOI]

Frontiers Digit. Health, March, 2023

Intelligent Music Intervention for Mental Disorders: Insights and Perspectives.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., February, 2023

A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era.

[BibT_eX]

[DOI]

CoRR, 2023

An Overview of the ICASSP Special Session on AI Security and Privacy in Speech and Audio Processing.

[BibT_eX]

[DOI]

Proceedings of the ACM Multimedia Asia Workshops, 2023

Automatic Audio Augmentation for Requests Sub-Challenge.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Explainable Stuttering Recognition Using Axial Attention.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

An End-to-End Model for Mental Disorders Detection by Spontaneous Physical Activity Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Crossmodal Transformer on Multi-Physical Signals for Personalised Daily Mental Health Prediction.

[BibT_eX]

[DOI]

Meishu Song

Zijiang Yang

Andreas Triantafyllopoulos

Proceedings of the IEEE International Conference on Data Mining, 2023

An Investigation on Data Augmentation and Multiple Instance Learning for Diagnosis of COVID-19 from Speech and Cough Sound.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Consumer Electronics - Taiwan, 2023

Federated Intelligent Terminals Facilitate Stuttering Monitoring.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Daily Mental Health Monitoring from Speech: A Real-World Japanese Dataset and Multitask Learning Analysis.

[BibT_eX]

[DOI]

Meishu Song

Andreas Triantafyllopoulos

Proceedings of the IEEE International Conference on Acoustics, 2023

Knowledge Transfer for on-Device Speech Emotion Recognition With Neural Structured Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

AMNet: Introducing an Adaptive Mel-Spectrogram End-to-End Neural Network for Heart Sound Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on E-health Networking, 2023

An End-to-End Model for Speech-based Somatisation Disorder Detection.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023

Snore Sound Recognition via an Explainable Capsule Network.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023

Multi-Track Music Generation with WGAN-GP and Attention Mechanisms.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023

Less is More: A Novel Feature Extraction Method for Heart Sound Classification via Fractal Transformation.

[BibT_eX]

[DOI]

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Cutting Weights of Deep Learning Models for Heart Sound Classification: Introducing a Knowledge Distillation Approach.

[BibT_eX]

[DOI]

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Detecting Childhood Pneumonia Using Handcrafted and Deep Learning Cough Sound Features and Multilayer Perceptron.

[BibT_eX]

[DOI]

Roneel V. Sharan

Kun Qian

Yoshiharu Yamamoto

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

How does Music Affect Your Brain? A Pilot Study on EEG and Music Features for Automatic Analysis.

[BibT_eX]

[DOI]

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Somatisation Disorder Detection via Speech: Introducing a Self-Supervised Learning Model.

[BibT_eX]

[DOI]

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Learning Multimodal Representations for Drowsiness Detection.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Capturing Time Dynamics From Speech Using Neural Networks for Surgical Mask Detection.

[BibT_eX]

[DOI]

Emilia Parada-Cabaleiro

Bin Hu

Björn W. Schuller

IEEE J. Biomed. Health Informatics, 2022

Digital Mental Health - Breaking a Lance for Prevention.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., 2022

COVID-19's Impact on Mental Health - The Hour of Computational Aid?

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., 2022

Fundamentals of Computational Psychophysiology: Theory and Methodology.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., 2022

Psychological Field Versus Physiological Field: From Qualitative Analysis to Quantitative Modeling of the Mental Status.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., 2022

Audio self-supervised learning: A survey.

[BibT_eX]

[DOI]

Shuo Liu

Adria Mallol-Ragolta

Emilia Parada-Cabaleiro

Patterns, 2022

MEDAS: an open-source platform as a service to help break the walls between medicine and informatics.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2022

Heart Sound Classification based on Fractional Fourier Transformation Entropy.

[BibT_eX]

[DOI]

Proceedings of the 4th IEEE Global Conference on Life Sciences and Technologies, 2022

A Glance-and-Gaze Network for Respiratory Sound Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

An Overview of the FIRST ICASSP Special Session on Computer Audition for Healthcare.

[BibT_eX]

[DOI]

Kun Qian

Tanja Schultz

Björn W. Schuller

Proceedings of the IEEE International Conference on Acoustics, 2022

Heart Sound Classification based on Residual Shrinkage Networks.

[BibT_eX]

[DOI]

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

A Federated Learning Paradigm for Heart Sound Classification.

[BibT_eX]

[DOI]

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

When Traditional Chinese Medicine Meets AI: A Novel Depression Treatment Paradigm based on Transcutaneous Vagus Nerve Stimulation.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Affective Computing and Intelligent Interaction, ACII 2022, 2022

2021

Can Machine Learning Assist Locating the Excitation of Snore Sound? A Review.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2021

An Online Robot Collision Detection and Identification Scheme by Supervised Learning and Bayesian Decision Theory.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., 2021

Artificial Intelligence Internet of Things for the Elderly: From Assisted Living to Health-Care Monitoring.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2021

Computer Audition for Fighting the SARS-CoV-2 Corona Crisis - Introducing the Multitask Speech Corpus for COVID-19.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2021

Can Appliances Understand the Behavior of Elderly Via Machine Learning? A Feasibility Study.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2021

COVID-19 and Computer Audition: An Overview on What Speech & Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis.

[BibT_eX]

[DOI]

Frontiers Digit. Health, 2021

Editorial: Machine Learning for Non/Less-Invasive Methods in Health Informatics.

[BibT_eX]

[DOI]

Frontiers Digit. Health, 2021

Learning audio sequence representations for acoustic event classification.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2021

Multi-label learning with missing and completely unobserved labels.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2021

Deep Attention-based Representation Learning for Heart Sound Classification.

[BibT_eX]

[DOI]

CoRR, 2021

Recent Advances in Computer Audition for Diagnosing COVID-19: An Overview.

[BibT_eX]

[DOI]

Kun Qian

Björn W. Schuller

Yoshiharu Yamamoto

Proceedings of the 3rd IEEE Global Conference on Life Sciences and Technologies, 2021

Predicting Group Work Performance from Physical Handwriting Features in a Smart English Classroom.

[BibT_eX]

[DOI]

Emilia Parada-Cabaleiro

Proceedings of the ICDSP 2021: 5th International Conference on Digital Signal Processing, 2021

Sensing the Sounds of Silence: A Pilot Study on the Detection of Model Mice of Autism Spectrum Disorder from Ultrasonic Vocalisations.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Transferring Cross-Corpus Knowledge: An Investigation on Data Augmentation for Heart Sound Classification.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Snore-GANs: Improving Automatic Snore Sound Classification With Synthesized Data.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2020

Machine Listening for Heart Status Monitoring: Introducing and Benchmarking HSS - The Heart Sounds Shenzhen Corpus.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2020

Validity of machine learning in biology and medicine increased through collaborations across fields of expertise.

[BibT_eX]

[DOI]

Nat. Mach. Intell., 2020

Computer Audition for Healthcare: Opportunities and Challenges.

[BibT_eX]

[DOI]

Frontiers Digit. Health, 2020

MeDaS: An open-source platform as service to help break the walls between medicine and informatics.

[BibT_eX]

[DOI]

CoRR, 2020

deepSELF: An Open Source Deep Self End-to-End Learning Framework.

[BibT_eX]

[DOI]

CoRR, 2020

Can Affective Computing Better the Mental Status of the Electronic Games Player? A Perspective.

[BibT_eX]

[DOI]

Proceedings of the 2nd IEEE Global Conference on Life Sciences and Technologies, 2020

Learning Higher Representations from Pre-Trained Deep Models with Data Augmentation for the COMPARE 2020 Challenge Mask Task.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2020, 2020

An Early Study on Intelligent Analysis of Speech Under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2020, 2020

Learning Higher Representations from Bioacoustics: A Sequence-to-Sequence Deep Learning Approach for Bird Sound Classification.

[BibT_eX]

[DOI]

Yu Qiao

Kun Qian

Ziping Zhao

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Audio for Audio is Better? An Investigation on Transfer Learning Models for Heart Sound Classification.

[BibT_eX]

[DOI]

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Deep Wavelets for Heart Sound Classification.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Symposium on Intelligent Signal Processing and Communication Systems, 2019

Automatic Detection of Major Depressive Disorder via a Bag-of-Behaviour-Words Approach.

[BibT_eX]

[DOI]

Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019

Teaching Machines to Know Your Depressive State: On Physical Activity in Health and Major Depressive Disorder.

[BibT_eX]

[DOI]

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Automatic General Audio Signal Classification.

[BibT_eX]

[DOI]

Kun Qian

PhD thesis, 2018

Deep Scalogram Representations for Acoustic Scene Classification.

[BibT_eX]

[DOI]

IEEE CAA J. Autom. Sinica, 2018

Snoring classified: The Munich-Passau Snore Sound Corpus.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2018

The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical & Self-Assessed Affect, Crying & Heart Beats.

[BibT_eX]

[DOI]

Katrin D. Bartl-Pokorny

Proceedings of the Interspeech 2018, 2018

Evolving Learning for Analysing Mood-Related Infant Vocalisation.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2018, 2018

Deep Unsupervised Representation Learning for Abnormal Heart Sound Classification.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Learning Image-based Representations for Heart Sound Classification.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Conference on Digital Health, 2018

Attention-based convolutional neural networks for acoustic scene classification.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2018

2017

Classification of the Excitation Location of Snore Sounds in the Upper Airway by Acoustic Multifeature Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2017

The INTERSPEECH 2017 Computational Paralinguistics Challenge: Addressee, Cold & Snoring.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2017, 2017

Snore sound recognition: On wavelets and classifiers from deep nets to kernels.

[BibT_eX]

[DOI]

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Speech-based Diagnosis of Autism Spectrum Condition by Generative Adversarial Network Representations.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Conference on Digital Health, 2017

Deep Sequential Image Features on Acoustic Scene Classification.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2017

Wavelets Revisited for the Classification of Acoustic Scenes.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2017

2016

Wavelet features for classification of vote snore sounds.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

GPU-based fast signal processing for large amounts of snore sound data.

[BibT_eX]

[DOI]

Proceedings of the IEEE 5th Global Conference on Consumer Electronics, 2016

A Bag-of-Audio-Words Approach for Snore Sounds' Excitation Localisation.

[BibT_eX]

[DOI]

Proceedings of the 12th ITG Symposium on Speech Communication, 2016

2015

Automatic detection, segmentation and classification of snore related signals from overnight audio recording.

[BibT_eX]

[DOI]

IET Signal Process., 2015

Bird sounds classification by large scale acoustic features and extreme learning machine.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

2014

Automatic detection of inspiration related snoring signals from original audio recording.

[BibT_eX]

[DOI]

Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014

2013

A Cloud Computing System for Snore Signals Processing.

[BibT_eX]

[DOI]

Proceedings of the Advanced Parallel Processing Technologies, 2013

Kun Qian

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