Kun Qian
Orcid: 0000-0002-1918-6453Affiliations:
- 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 98 papers
between 2013 and 2024.
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Bibliography
2024
IEEE Comput. Intell. Mag., August, 2024
Automatic Bird Sound Source Separation Based on Passive Acoustic Devices in Wild Environment.
IEEE Internet Things J., May, 2024
A Novel Intelligence Evaluation Framework: Exploring the Psychophysiological Patterns of Gifted Students.
IEEE Trans. Comput. Soc. Syst., April, 2024
Physiological Electrosignal Asynchronous Acquisition Technology: Insight and Perspectives.
IEEE Trans. Comput. Soc. Syst., February, 2024
IEEE J. Biomed. Health Informatics, January, 2024
LEPCNet: A Lightweight End-to-End PCG Classification Neural Network Model for Wearable Devices.
IEEE Trans. Instrum. Meas., 2024
CoRR, 2024
DECIDER: A Rule-Controllable Decoding Strategy for Language Generation by Imitating Dual-System Cognitive Theory.
CoRR, 2024
STAA-Net: A Sparse and Transferable Adversarial Attack for Speech Emotion Recognition.
CoRR, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
The Three-Lead EEG Sensor: Introducing an EEG-Assisted Depression Diagnosis System Based on Ant Lion Optimization.
IEEE Trans. Biomed. Circuits Syst., December, 2023
Battling with the low-resource condition for snore sound recognition: introducing a meta-learning strategy.
EURASIP J. Audio Speech Music. Process., December, 2023
Depression Recognition From EEG Signals Using an Adaptive Channel Fusion Method via Improved Focal Loss.
IEEE J. Biomed. Health Informatics, July, 2023
Can a Holistic View Facilitate the Development of Intelligent Traditional Chinese Medicine? A Survey.
IEEE Trans. Comput. Soc. Syst., April, 2023
Biomed. Signal Process. Control., April, 2023
Frontiers Digit. Health, March, 2023
IEEE Trans. Comput. Soc. Syst., February, 2023
An Overview of the ICASSP Special Session on AI Security and Privacy in Speech and Audio Processing.
Proceedings of the ACM Multimedia Asia Workshops, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
An End-to-End Model for Mental Disorders Detection by Spontaneous Physical Activity Data.
Proceedings of the IEEE International Conference on Data Mining, 2023
Crossmodal Transformer on Multi-Physical Signals for Personalised Daily Mental Health Prediction.
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.
Proceedings of the International Conference on Consumer Electronics - Taiwan, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Daily Mental Health Monitoring from Speech: A Real-World Japanese Dataset and Multitask Learning Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2023
Knowledge Transfer for on-Device Speech Emotion Recognition With Neural Structured Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023
AMNet: Introducing an Adaptive Mel-Spectrogram End-to-End Neural Network for Heart Sound Classification.
Proceedings of the IEEE International Conference on E-health Networking, 2023
Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023
Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023
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.
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.
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.
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.
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.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
Capturing Time Dynamics From Speech Using Neural Networks for Surgical Mask Detection.
IEEE J. Biomed. Health Informatics, 2022
IEEE Trans. Comput. Soc. Syst., 2022
IEEE Trans. Comput. Soc. Syst., 2022
IEEE Trans. Comput. Soc. Syst., 2022
Psychological Field Versus Physiological Field: From Qualitative Analysis to Quantitative Modeling of the Mental Status.
IEEE Trans. Comput. Soc. Syst., 2022
MEDAS: an open-source platform as a service to help break the walls between medicine and informatics.
Neural Comput. Appl., 2022
Proceedings of the 4th IEEE Global Conference on Life Sciences and Technologies, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
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.
Proceedings of the 10th International Conference on Affective Computing and Intelligent Interaction, ACII 2022, 2022
2021
IEEE J. Biomed. Health Informatics, 2021
An Online Robot Collision Detection and Identification Scheme by Supervised Learning and Bayesian Decision Theory.
IEEE Trans Autom. Sci. Eng., 2021
Artificial Intelligence Internet of Things for the Elderly: From Assisted Living to Health-Care Monitoring.
IEEE Signal Process. Mag., 2021
Computer Audition for Fighting the SARS-CoV-2 Corona Crisis - Introducing the Multitask Speech Corpus for COVID-19.
IEEE Internet Things J., 2021
Can Appliances Understand the Behavior of Elderly Via Machine Learning? A Feasibility Study.
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.
Frontiers Digit. Health, 2021
Frontiers Digit. Health, 2021
Expert Syst. Appl., 2021
Data Min. Knowl. Discov., 2021
CoRR, 2021
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.
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.
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.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
IEEE J. Biomed. Health Informatics, 2020
Machine Listening for Heart Status Monitoring: Introducing and Benchmarking HSS - The Heart Sounds Shenzhen Corpus.
IEEE J. Biomed. Health Informatics, 2020
Validity of machine learning in biology and medicine increased through collaborations across fields of expertise.
Nat. Mach. Intell., 2020
Frontiers Digit. Health, 2020
MeDaS: An open-source platform as service to help break the walls between medicine and informatics.
CoRR, 2020
Can Affective Computing Better the Mental Status of the Electronic Games Player? A Perspective.
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.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
An Early Study on Intelligent Analysis of Speech Under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
Learning Higher Representations from Bioacoustics: A Sequence-to-Sequence Deep Learning Approach for Bird Sound Classification.
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.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
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.
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.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
IEEE CAA J. Autom. Sinica, 2018
Comput. Biol. Medicine, 2018
The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical & Self-Assessed Affect, Crying & Heart Beats.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the 2018 International Conference on Digital Health, 2018
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.
IEEE Trans. Biomed. Eng., 2017
The INTERSPEECH 2017 Computational Paralinguistics Challenge: Addressee, Cold & Snoring.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017
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.
Proceedings of the 2017 International Conference on Digital Health, 2017
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2017
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2017
2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the IEEE 5th Global Conference on Consumer Electronics, 2016
Proceedings of the 12th ITG Symposium on Speech Communication, 2016
2015
Automatic detection, segmentation and classification of snore related signals from overnight audio recording.
IET Signal Process., 2015
Bird sounds classification by large scale acoustic features and extreme learning machine.
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.
Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014
2013
Proceedings of the Advanced Parallel Processing Technologies, 2013