A Cloud Computing System for Snore Signals Processing. - Jian Guo 004; Kun Qian 003; Zhaomeng Zhu; Gongxuan Zhang; Huijie Xu (APPT, 2013)

Automatic detection of inspiration related snoring signals from original audio recording. - Kun Qian 003; Zhiyong Xu 002; Huijie Xu; Boon Poh Ng (ChinaSIP, 2014)

Bird sounds classification by large scale acoustic features and extreme learning machine. - Kun Qian 003; Zixing Zhang 001; Fabien Ringeval; Björn W. Schuller (GlobalSIP, 2015)

Automatic detection, segmentation and classification of snore related signals from overnight audio recording. - Kun Qian 003; Zhiyong Xu 002; Huijie Xu; Yaqi Wu; Zhao Zhao (IET Signal Process., 2015)

A Bag-of-Audio-Words Approach for Snore Sounds' Excitation Localisation. - Maximilian Schmitt; Christoph Janott; Vedhas Pandit; Kun Qian 003; Clemens Heiser; Werner Hemmert; Björn W. Schuller (ITG Symposium on Speech Communication, 2016)

GPU-based fast signal processing for large amounts of snore sound data. - Jian Guo 004; Kun Qian 003; Huijie Xu; Christoph Janott; Björn W. Schuller; Satoshi Matsuoka (GCCE, 2016)

Wavelet features for classification of vote snore sounds. - Kun Qian 003; Christoph Janott; Zixing Zhang 001; Clemens Heiser; Björn W. Schuller (ICASSP, 2016)

Wavelets Revisited for the Classification of Acoustic Scenes. - Kun Qian 003; Zhao Ren; Vedhas Pandit; Zijiang Yang 007; Zixing Zhang 001; Björn W. Schuller (DCASE, 2017)

Deep Sequential Image Features on Acoustic Scene Classification. - Zhao Ren; Vedhas Pandit; Kun Qian 003; Zijiang Yang 007; Zixing Zhang 001; Björn W. Schuller (DCASE, 2017)

Speech-based Diagnosis of Autism Spectrum Condition by Generative Adversarial Network Representations. - Jun Deng; Nicholas Cummins; Maximilian Schmitt; Kun Qian 003; Fabien Ringeval; Björn W. Schuller (DH, 2017)

Snore sound recognition: On wavelets and classifiers from deep nets to kernels. - Kun Qian 003; Christoph Janott; Jun Deng; Clemens Heiser; Winfried Hohenhorst; Michael Herzog; Nicholas Cummins; Björn W. Schuller (EMBC, 2017)

The INTERSPEECH 2017 Computational Paralinguistics Challenge: Addressee, Cold & Snoring. - 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; et al. (INTERSPEECH, 2017)

Classification of the Excitation Location of Snore Sounds in the Upper Airway by Acoustic Multifeature Analysis. - Kun Qian 003; Christoph Janott; Vedhas Pandit; Zixing Zhang 001; Clemens Heiser; Winfried Hohenhorst; Michael Herzog; Werner Hemmert; Björn W. Schuller (IEEE Trans. Biomed. Eng., 2017)

Attention-based convolutional neural networks for acoustic scene classification. - Zhao Ren; Qiuqiang Kong; Kun Qian 003; Mark D. Plumbley; Björn W. Schuller (DCASE, 2018)

Learning Image-based Representations for Heart Sound Classification. - Zhao Ren; Nicholas Cummins; Vedhas Pandit; Jing Han 010; Kun Qian 003; Björn W. Schuller (DH, 2018)

Deep Unsupervised Representation Learning for Abnormal Heart Sound Classification. - Shahin Amiriparian; Maximilian Schmitt; Nicholas Cummins; Kun Qian 003; Fengquan Dong; Björn W. Schuller (EMBC, 2018)

Evolving Learning for Analysing Mood-Related Infant Vocalisation. - Zixing Zhang 001; Jing Han 010; Kun Qian 003; Björn W. Schuller (INTERSPEECH, 2018)

The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical & Self-Assessed Affect, Crying & Heart Beats. - 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; et al. (INTERSPEECH, 2018)

Snoring classified: The Munich-Passau Snore Sound Corpus. - Christoph Janott; Maximilian Schmitt; Yue Zhang 014; Kun Qian 003; Vedhas Pandit; Zixing Zhang 001; Clemens Heiser; Winfried Hohenhorst; Michael Herzog; Werner Hemmert; Björn W. Schuller (Comput. Biol. Medicine, 2018)

Deep Scalogram Representations for Acoustic Scene Classification. - Zhao Ren; Kun Qian 003; Yebin Wang; Zixing Zhang 001; Vedhas Pandit; Alice Baird; Björn W. Schuller (IEEE CAA J. Autom. Sinica, 2018)

Automatic General Audio Signal Classification. - Kun Qian 003 (2018)

Teaching Machines to Know Your Depressive State: On Physical Activity in Health and Major Depressive Disorder. - Kun Qian 003; Hiroyuki Kuromiya; Zixing Zhang 001; Jinhyuk Kim; Toru Nakamura; Kazuhiro Yoshiuchi; Björn W. Schuller; Yoshiharu Yamamoto (EMBC, 2019)

Automatic Detection of Major Depressive Disorder via a Bag-of-Behaviour-Words Approach. - Kun Qian 003; Hiroyuki Kuromiya; Zhao Ren; Maximilian Schmitt; Zixing Zhang 001; Toru Nakamura; Kazuhiro Yoshiuchi; Björn W. Schuller; Yoshiharu Yamamoto (ISICDM, 2019)

Deep Wavelets for Heart Sound Classification. - Kun Qian 003; Zhao Ren; Fengquan Dong; Wen-Hsing Lai; Björn W. Schuller; Yoshiharu Yamamoto (ISPACS, 2019)

Audio for Audio is Better? An Investigation on Transfer Learning Models for Heart Sound Classification. - Tomoya Koike; Kun Qian 003; Qiuqiang Kong; Mark D. Plumbley; Björn W. Schuller; Yoshiharu Yamamoto (EMBC, 2020)

Learning Higher Representations from Bioacoustics: A Sequence-to-Sequence Deep Learning Approach for Bird Sound Classification. - Yu Qiao; Kun Qian 003; Ziping Zhao 001 (ICONIP (5), 2020)

An Early Study on Intelligent Analysis of Speech Under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety. - Jing Han 010; Kun Qian 003; Meishu Song; Zijiang Yang 007; Zhao Ren; Shuo Liu 012; Juan Liu; Huaiyuan Zheng; Wei Ji; Tomoya Koike; Xiao Li; Zixing Zhang 001; et al. (INTERSPEECH, 2020)

Learning Higher Representations from Pre-Trained Deep Models with Data Augmentation for the COMPARE 2020 Challenge Mask Task. - Tomoya Koike; Kun Qian 003; Björn W. Schuller; Yoshiharu Yamamoto (INTERSPEECH, 2020)

Can Affective Computing Better the Mental Status of the Electronic Games Player? A Perspective. - Yueheng Wang; Kun Qian 003; Jacob Nelson 004; Hiromichi Yagi; Akifumi Kishi; Kenji Morita; Yoshiharu Yamamoto (LifeTech, 2020)

deepSELF: An Open Source Deep Self End-to-End Learning Framework. - Tomoya Koike; Kun Qian 003; Björn W. Schuller; Yoshiharu Yamamoto (CoRR, 2020)

MeDaS: An open-source platform as service to help break the walls between medicine and informatics. - Liang Zhang 010; Johann Li; Ping Li 030; Xiaoyuan Lu; Peiyi Shen; Guangming Zhu 001; Syed Afaq Ali Shah; Mohammed Bennamoun; Kun Qian 003; Björn W. Schuller (CoRR, 2020)

Computer Audition for Healthcare: Opportunities and Challenges. - Kun Qian 003; Xiao Li; Haifeng Li 001; Shengchen Li; Wei Li 012; Zuoliang Ning; Shuai Yu 002; Limin Hou; Gang Tang; Jing Lu; Feng Li; Shufei Duan; et al. (Frontiers Digit. Health, 2020)

Validity of machine learning in biology and medicine increased through collaborations across fields of expertise. - Maria Littmann; Katharina Selig; Liel Cohen-Lavi; Yotam Frank; Peter Hönigschmid; Evans Kataka; Anja Mösch; Kun Qian 003; Avihai Ron; Sebastian Schmid 002; Adam Sorbie; Liran Szlak; et al. (Nat. Mach. Intell., 2020)

Machine Listening for Heart Status Monitoring: Introducing and Benchmarking HSS - The Heart Sounds Shenzhen Corpus. - Fengquan Dong; Kun Qian 003; Zhao Ren; Alice Baird; Xinjian Li; Zhenyu Dai; Bo Dong; Florian Metze; Yoshiharu Yamamoto; Björn W. Schuller (IEEE J. Biomed. Health Informatics, 2020)

Snore-GANs: Improving Automatic Snore Sound Classification With Synthesized Data. - Zixing Zhang 001; Jing Han 010; Kun Qian 003; Christoph Janott; Yanan Guo 001; Björn W. Schuller (IEEE J. Biomed. Health Informatics, 2020)

Transferring Cross-Corpus Knowledge: An Investigation on Data Augmentation for Heart Sound Classification. - Tomoya Koike; Kun Qian 003; Björn W. Schuller; Yoshiharu Yamamoto (EMBC, 2021)

Sensing the Sounds of Silence: A Pilot Study on the Detection of Model Mice of Autism Spectrum Disorder from Ultrasonic Vocalisations. - Kun Qian 003; Tomoya Koike; Kota Tamada; Toru Takumi; Björn W. Schuller; Yoshiharu Yamamoto (EMBC, 2021)

Predicting Group Work Performance from Physical Handwriting Features in a Smart English Classroom. - Meishu Song; Kun Qian 003; Bin Chen; Keiju Okabayashi; Emilia Parada-Cabaleiro; Zijiang Yang 007; Shuo Liu 012; Kazumasa Togami; Ichiro Hidaka; Yueheng Wang; Björn W. Schuller; Yoshiharu Yamamoto (ICDSP, 2021)

Recent Advances in Computer Audition for Diagnosing COVID-19: An Overview. - Kun Qian 003; Björn W. Schuller; Yoshiharu Yamamoto (LifeTech, 2021)

Deep Attention-based Representation Learning for Heart Sound Classification. - Zhao Ren; Kun Qian 003; Fengquan Dong; Zhenyu Dai; Yoshiharu Yamamoto; Björn W. Schuller (CoRR, 2021)

Multi-label learning with missing and completely unobserved labels. - Jun Huang 003; Linchuan Xu; Kun Qian 003; Jing Wang 023; Kenji Yamanishi (Data Min. Knowl. Discov., 2021)

Learning audio sequence representations for acoustic event classification. - Zixing Zhang 001; Ding Liu; Jing Han 010; Kun Qian 003; Björn W. Schuller (Expert Syst. Appl., 2021)

Editorial: Machine Learning for Non/Less-Invasive Methods in Health Informatics. - Kun Qian 003; Liang Zhang 010; Kezhi Li; Juan Liu (Frontiers Digit. Health, 2021)

COVID-19 and Computer Audition: An Overview on What Speech & Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis. - Björn W. Schuller; Dagmar M. Schuller; Kun Qian 003; Juan Liu; Huaiyuan Zheng; Xiao Li (Frontiers Digit. Health, 2021)

Can Appliances Understand the Behavior of Elderly Via Machine Learning? A Feasibility Study. - Kun Qian 003; Tomoya Koike; Kazuhiro Yoshiuchi; Björn W. Schuller; Yoshiharu Yamamoto (IEEE Internet Things J., 2021)

Computer Audition for Fighting the SARS-CoV-2 Corona Crisis - Introducing the Multitask Speech Corpus for COVID-19. - Kun Qian 003; Maximilian Schmitt; Huaiyuan Zheng; Tomoya Koike; Jing Han 010; Juan Liu; Wei Ji; Junjun Duan; Meishu Song; Zijiang Yang 007; Zhao Ren; Shuo Liu 012; et al. (IEEE Internet Things J., 2021)

Artificial Intelligence Internet of Things for the Elderly: From Assisted Living to Health-Care Monitoring. - Kun Qian 003; Zixing Zhang 001; Yoshiharu Yamamoto; Björn W. Schuller (IEEE Signal Process. Mag., 2021)

An Online Robot Collision Detection and Identification Scheme by Supervised Learning and Bayesian Decision Theory. - Zengjie Zhang; Kun Qian 003; Björn W. Schuller; Dirk Wollherr (IEEE Trans Autom. Sci. Eng., 2021)

Can Machine Learning Assist Locating the Excitation of Snore Sound? A Review. - Kun Qian 003; Christoph Janott; Maximilian Schmitt; Zixing Zhang 001; Clemens Heiser; Werner Hemmert; Yoshiharu Yamamoto; Björn W. Schuller (IEEE J. Biomed. Health Informatics, 2021)

When Traditional Chinese Medicine Meets AI: A Novel Depression Treatment Paradigm based on Transcutaneous Vagus Nerve Stimulation. - Lixian Zhu; Chang Yan; Xiaokun Jin; Fuze Tian; Yanan Zhao; Yu Ma; Yeqi Jia; Qunxi Dong; Peijing Rong; Kun Qian 003; Bin Hu 001 (ACIIW, 2022)

A Federated Learning Paradigm for Heart Sound Classification. - Wanyong Qiu; Kun Qian 003; Zhihua Wang; Yi Chang 004; Zhihao Bao; Bin Hu 001; Björn W. Schuller; Yoshiharu Yamamoto (EMBC, 2022)

Heart Sound Classification based on Residual Shrinkage Networks. - Lixian Zhu; Kun Qian 003; Zhihua Wang; Bin Hu 001; Yoshiharu Yamamoto; Björn W. Schuller (EMBC, 2022)

An Overview of the FIRST ICASSP Special Session on Computer Audition for Healthcare. - Kun Qian 003; Tanja Schultz; Björn W. Schuller (ICASSP, 2022)

A Glance-and-Gaze Network for Respiratory Sound Classification. - Shuai Yu 002; Yiwei Ding; Kun Qian 003; Bin Hu 001; Wei Li 012; Björn W. Schuller (ICASSP, 2022)

Heart Sound Classification based on Fractional Fourier Transformation Entropy. - Yang Tan 003; Zhihua Wang; Kun Qian 003; Bin Hu 001; Shiliang Zhao; Björn W. Schuller; Yoshiharu Yamamoto (LifeTech, 2022)

MEDAS: an open-source platform as a service to help break the walls between medicine and informatics. - Liang Zhang 010; Johann Li; Ping Li 030; Xiaoyuan Lu; Maoguo Gong; Peiyi Shen; Guangming Zhu 001; Syed Afaq Ali Shah; Mohammed Bennamoun; Kun Qian 003; Björn W. Schuller (Neural Comput. Appl., 2022)

Audio self-supervised learning: A survey. - Shuo Liu 012; Adria Mallol-Ragolta; Emilia Parada-Cabaleiro; Kun Qian 003; Xin Jing; Alexander Kathan; Bin Hu 001; Björn W. Schuller (Patterns, 2022)

Psychological Field Versus Physiological Field: From Qualitative Analysis to Quantitative Modeling of the Mental Status. - Bin Hu 001; Kun Qian 003; Qunxi Dong; Yuejia Luo; Yoshiharu Yamamoto; Björn W. Schuller (IEEE Trans. Comput. Soc. Syst., 2022)

Fundamentals of Computational Psychophysiology: Theory and Methodology. - Bin Hu 001; Jian Shen 004; Lixian Zhu; Qunxi Dong; Hanshu Cai; Kun Qian 003 (IEEE Trans. Comput. Soc. Syst., 2022)

COVID-19's Impact on Mental Health - The Hour of Computational Aid? - Björn W. Schuller; Johanna Löchner; Kun Qian 003; Bin Hu 001 (IEEE Trans. Comput. Soc. Syst., 2022)

Digital Mental Health - Breaking a Lance for Prevention. - Björn W. Schuller; Johanna Löchner; Kun Qian 003; Bin Hu 001 (IEEE Trans. Comput. Soc. Syst., 2022)

Capturing Time Dynamics From Speech Using Neural Networks for Surgical Mask Detection. - Shuo Liu 012; Adria Mallol-Ragolta; Tianhao Yan; Kun Qian 003; Emilia Parada-Cabaleiro; Bin Hu 001; Björn W. Schuller (IEEE J. Biomed. Health Informatics, 2022)

Learning Multimodal Representations for Drowsiness Detection. - Kun Qian 003; Tomoya Koike; Toru Nakamura; Björn W. Schuller; Yoshiharu Yamamoto (IEEE Trans. Intell. Transp. Syst., 2022)

Somatisation Disorder Detection via Speech: Introducing a Self-Supervised Learning Model. - Zhihao Bao; Kun Qian 003; Zhonghao Zhao; Mengkai Sun; Ruolan Huang; Dewen Xu; Bin Hu 001; Yoshiharu Yamamoto; Björn W. Schuller (EMBC, 2023)

How does Music Affect Your Brain? A Pilot Study on EEG and Music Features for Automatic Analysis. - Gang Luo; Shuting Sun; Kun Qian 003; Bin Hu 001; Björn W. Schuller; Yoshiharu Yamamoto (EMBC, 2023)

Detecting Childhood Pneumonia Using Handcrafted and Deep Learning Cough Sound Features and Multilayer Perceptron. - Roneel V. Sharan; Kun Qian 003; Yoshiharu Yamamoto (EMBC, 2023)

Cutting Weights of Deep Learning Models for Heart Sound Classification: Introducing a Knowledge Distillation Approach. - Zikai Song; Lixian Zhu; Yiyan Wang; Mengkai Sun; Kun Qian 003; Bin Hu 001; Yoshiharu Yamamoto; Björn W. Schuller (EMBC, 2023)

Less is More: A Novel Feature Extraction Method for Heart Sound Classification via Fractal Transformation. - Cuiping Zhu; Zhonghao Zhao; Yang Tan 003; Mengkai Sun; Kun Qian 003; Tao Jiang; Bin Hu 001; Björn W. Schuller; Yoshiharu Yamamoto (EMBC, 2023)

Multi-Track Music Generation with WGAN-GP and Attention Mechanisms. - Luyu Chen; Lin Shen; Dan Yu; Zhihua Wang; Kun Qian 003; Bin Hu 001; Björn W. Schuller; Yoshiharu Yamamoto (GCCE, 2023)

Snore Sound Recognition via an Explainable Capsule Network. - Minki Cho; Zhonghao Zhao; Zhihua Wang; Kun Qian 003; Bin Hu 001; Yoshiharu Yamamoto; Björn W. Schuller (GCCE, 2023)

An End-to-End Model for Speech-based Somatisation Disorder Detection. - Runze Ge; Zhihua Wang; Zhonghao Zhao; Kun Qian 003; Bin Hu 001; Björn W. Schuller; Yoshiharu Yamamoto (GCCE, 2023)

AMNet: Introducing an Adaptive Mel-Spectrogram End-to-End Neural Network for Heart Sound Classification. - Yang Tan 003; Zhihua Wang; Kun Qian 003; Zhihao Bao; Zheyu Cao; Bin Hu 001; Yoshiharu Yamamoto; Björn W. Schuller (HealthCom, 2023)

Knowledge Transfer for on-Device Speech Emotion Recognition With Neural Structured Learning. - Yi Chang 004; Zhao Ren; Thanh Tam Nguyen; Kun Qian 003; Björn W. Schuller (ICASSP, 2023)

Daily Mental Health Monitoring from Speech: A Real-World Japanese Dataset and Multitask Learning Analysis. - Meishu Song; Andreas Triantafyllopoulos; Zijiang Yang 007; Hiroki Takeuchi; Toru Nakamura; Akifumi Kishi; Tetsuro Ishizawa; Kazuhiro Yoshiuchi; Xin Jing; Vincent Karas; Zhonghao Zhao; Kun Qian 003; et al. (ICASSP, 2023)

Federated Intelligent Terminals Facilitate Stuttering Monitoring. - Yongzi Yu; Wanyong Qiu; Chen Quan; Kun Qian 003; Zhihua Wang; Yu Ma; Bin Hu 001; Björn W. Schuller; Yoshiharu Yamamoto (ICASSP, 2023)

An Investigation on Data Augmentation and Multiple Instance Learning for Diagnosis of COVID-19 from Speech and Cough Sound. - Tomoya Koike; Zhihua Wang; Kun Qian 003; Bin Hu 001; Björn W. Schuller; Yoshiharu Yamamoto (ICCE-Taiwan, 2023)

Crossmodal Transformer on Multi-Physical Signals for Personalised Daily Mental Health Prediction. - Meishu Song; Zijiang Yang 007; Andreas Triantafyllopoulos; Toru Nakamura; Yongxin Zhang; Zhao Ren; Hiroki Takeuchi; Akifumi Kishi; Tetsuro Ishizawa; Kazuhiro Yoshiuchi; Haojie Zhang; Kun Qian 003; et al. (ICDM (Workshops), 2023)

An End-to-End Model for Mental Disorders Detection by Spontaneous Physical Activity Data. - Dewen Xu; Zhihua Wang; Tsuyoshi Kitajima; Toru Nakamura; Hiroko Shimura; Hiroki Takeuchi; Yang Tan 003; Runze Ge; Kun Qian 003; Bin Hu 001; Björn W. Schuller; Yoshiharu Yamamoto (ICDM (Workshops), 2023)

Explainable Stuttering Recognition Using Axial Attention. - Yu Ma; Yuting Huang; Kaixiang Yuan; Guangzhe Xuan; Yongzi Yu; Hengrui Zhong; Rui Li 105; Jian Shen 004; Kun Qian 003; Bin Hu 001; Björn W. Schuller; Yoshiharu Yamamoto (ICIC (3), 2023)

Automatic Audio Augmentation for Requests Sub-Challenge. - Yanjie Sun; Kele Xu; Chaorun Liu; Yong Dou; Kun Qian 003 (ACM Multimedia, 2023)

An Overview of the ICASSP Special Session on AI Security and Privacy in Speech and Audio Processing. - Zhao Ren; Kun Qian 003; Tanja Schultz; Björn W. Schuller (MMAsia (Workshops), 2023)

Intelligent Music Intervention for Mental Disorders: Insights and Perspectives. - Kun Qian 003; Björn W. Schuller; Xiaohong Guan; Bin Hu 001 (IEEE Trans. Comput. Soc. Syst., 2023)

Editorial: Human-centred computer audition: sound, music, and healthcare. - Kun Qian 003; Gyorgy Fazekas; Shengchen Li; Zijin Li; Björn W. Schuller (Frontiers Digit. Health, 2023)

Exploring interpretable representations for heart sound abnormality detection. - Zhihua Wang; Kun Qian 003; Houguang Liu; Bin Hu 001; Björn W. Schuller; Yoshiharu Yamamoto (Biomed. Signal Process. Control., 2023)

Can a Holistic View Facilitate the Development of Intelligent Traditional Chinese Medicine? A Survey. - Guihua Tian; Kun Qian 003; Xinyi Li; Mengkai Sun; Hao Jiang; Wanyong Qiu; Xiaoming Xie; Zhonghao Zhao; Liangqing Huang; Siyan Luo; Tianxing Guo; Ran Cai; et al. (IEEE Trans. Comput. Soc. Syst., 2023)

Depression Recognition From EEG Signals Using an Adaptive Channel Fusion Method via Improved Focal Loss. - Jian Shen 004; Yanan Zhang; Huajian Liang; Zeguang Zhao; Kexin Zhu; Kun Qian 003; Qunxi Dong; Xiaowei Zhang 001; Bin Hu 001 (IEEE J. Biomed. Health Informatics, 2023)

Battling with the low-resource condition for snore sound recognition: introducing a meta-learning strategy. - Jingtan Li; Mengkai Sun; Zhonghao Zhao; Xingcan Li; Gaigai Li; Chen Wu; Kun Qian 003; Bin Hu 001; Yoshiharu Yamamoto; Björn W. Schuller (EURASIP J. Audio Speech Music. Process., 2023)

The Three-Lead EEG Sensor: Introducing an EEG-Assisted Depression Diagnosis System Based on Ant Lion Optimization. - Fuze Tian; Lixian Zhu; Qiuxia Shi; Rui Wang; Lixin Zhang; Qunxi Dong; Kun Qian 003; Qinglin Zhao; Bin Hu 001 (IEEE Trans. Biomed. Circuits Syst., 2023)

Weight Light, Hear Right: Heart Sound Classification with a Low-Complexity Model. - Jiahao Ji; Lixian Zhu; Haojie Zhang; Kun Qian 003; Kele Xu; Zikai Song; Bin Hu 001; Björn W. Schuller; Yoshiharu Yamamoto (EUSIPCO, 2024)

Clearer Lub-Dub: A Novel Approach in Heart Sound Denoising Based on Transfer Learning. - Peng Gao; Haojie Zhang; Lin Shen; Yongxin Zhang; Jiang Liu; Kun Qian 003; Bin Hu 001; Björn W. Schuller; Yoshiharu Yamamoto (HealthCom, 2024)

Inspiration of Prototype Knowledge: Introducing a Meta-Learning Approach to Heart Sound Classification. - Qingrong Wu; Mengkai Sun; Haojie Zhang; Yongxin Zhang; Yiming Liu; Boyang Meng; Kun Qian 003; Bin Hu 001; Toru Nakamura; Taishin Nomura; Björn W. Schuller; Yoshiharu Yamamoto (HealthCom, 2024)

Deep Fusion of Shifted MLP and CNN for Medical Image Segmentation. - Chengyu Yuan; Hao Xiong 001; Guoqing Shangguan; Hualei Shen; Dong Liu; Haojie Zhang; Zhonghua Liu; Kun Qian 003; Bin Hu 001; Björn W. Schuller; Yoshiharu Yamamoto; Shlomo Berkovsky (ICASSP, 2024)

E-ODN: An Emotion Open Deep Network for Generalised and Adaptive Speech Emotion Recognition. - Liuxian Ma; Lin Shen; Ruobing Li; Haojie Zhang; Kun Qian 003; Bin Hu 001; Björn W. Schuller; Yoshiharu Yamamoto (INTERSPEECH, 2024)

Study Selectively: An Adaptive Knowledge Distillation based on a Voting Network for Heart Sound Classification. - Xihang Qiu; Lixian Zhu; Zikai Song; Zeyu Chen; Haojie Zhang; Kun Qian 003; Ye Zhang; Bin Hu 001; Yoshiharu Yamamoto; Björn W. Schuller (INTERSPEECH, 2024)

DECIDER: A Rule-Controllable Decoding Strategy for Language Generation by Imitating Dual-System Cognitive Theory. - Chen Xu; Tian Lan 003; Changlong Yu; Wei Wang 077; Jun Gao; Yu Ji; Qunxi Dong; Kun Qian 003; Piji Li; Wei Bi; Bin Hu 001 (CoRR, 2024)

Speech Emotion Recognition under Resource Constraints with Data Distillation. - Yi Chang 004; Zhao Ren; Zhonghao Zhao; Thanh Tam Nguyen; Kun Qian 003; Tanja Schultz; Björn W. Schuller (CoRR, 2024)

LEPCNet: A Lightweight End-to-End PCG Classification Neural Network Model for Wearable Devices. - Lixian Zhu; Wanyong Qiu; Yu Ma; Fuze Tian; Mengkai Sun; Zhihua Wang; Kun Qian 003; Bin Hu 001; Yoshiharu Yamamoto; Björn W. Schuller (IEEE Trans. Instrum. Meas., 2024)

Automated Cough Sound Analysis for Detecting Childhood Pneumonia. - Roneel V. Sharan; Kun Qian 003; Yoshiharu Yamamoto (IEEE J. Biomed. Health Informatics, 2024)

Physiological Electrosignal Asynchronous Acquisition Technology: Insight and Perspectives. - Bin Hu 001; Lixian Zhu; Qunxi Dong; Kun Qian 003; Hanshu Cai; Fuze Tian (IEEE Trans. Comput. Soc. Syst., 2024)

A Novel Intelligence Evaluation Framework: Exploring the Psychophysiological Patterns of Gifted Students. - Jian Shen 004; Kexin Zhu; Zeguang Zhao; Huajian Liang; Yu Ma; Kun Qian 003; Yanan Zhang; Qunxi Dong (IEEE Trans. Comput. Soc. Syst., 2024)

Automatic Bird Sound Source Separation Based on Passive Acoustic Devices in Wild Environment. - Jiangjian Xie; Yuwei Shi; Dongming Ni; Manuel Milling; Shuo Liu 012; Junguo Zhang; Kun Qian 003; Björn W. Schuller (IEEE Internet Things J., 2024)

A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era. - Zhao Ren; Yi Chang 004; Thanh Tam Nguyen; Yang Tan 003; Kun Qian 003; Björn W. Schuller (IEEE Comput. Intell. Mag., 2024)

Fed-MStacking: Heterogeneous Federated Learning With Stacking Misaligned Labels for Abnormal Heart Sound Detection. - Wanyong Qiu; Yifan Feng; Yuying Li 006; Yi Chang 004; Kun Qian 003; Bin Hu 001; Yoshiharu Yamamoto; Björn W. Schuller (IEEE J. Biomed. Health Informatics, 2024)

Heart Sound Abnormality Detection From Multi-Institutional Collaboration: Introducing a Federated Learning Framework. - Wanyong Qiu; Chen Quan; Lixian Zhu; Yongzi Yu; Zhihua Wang; Yu Ma; Mengkai Sun; Yi Chang 004; Kun Qian 003; Bin Hu 001; Yoshiharu Yamamoto; Björn W. Schuller (IEEE Trans. Biomed. Eng., 2024)

GCD-JFSE: Graph-based class-domain knowledge joint feature selection and ensemble learning for EEG-based emotion recognition. - Gang Luo; Yutong Han; Weichu Xie; Fuze Tian; Lixian Zhu; Kun Qian 003; Xiaowei Li 005; Shuting Sun; Bin Hu 001 (Knowl. Based Syst., 2025)

STAA-Net: A Sparse and Transferable Adversarial Attack for Speech Emotion Recognition. - Yi Chang 004; Zhao Ren; Zixing Zhang 001; Xin Jing; Kun Qian 003; Xi Shao; Bin Hu 001; Tanja Schultz; Björn W. Schuller (IEEE Trans. Affect. Comput., 2025)

IMGWOFS: A Feature Selector With Trade-Off Between Conflict Objectives for EEG-Based Emotion Recognition. - Gang Luo; Shuting Sun; Chang Yan; Shanshan Qu; Dixin Wang; Na Chu; Xuesong Liu; Fuze Tian; Kun Qian 003; Xiaowei Li 005; Bin Hu 001 (IEEE Trans. Affect. Comput., 2025)

MADUV: The 1st INTERSPEECH Mice Autism Detection via Ultrasound Vocalization Challenge. - Zijiang Yang 007; Meishu Song; Xin Jing; Haojie Zhang; Kun Qian 003; Bin Hu 001; Kota Tamada; Toru Takumi; Björn W. Schuller; Yoshiharu Yamamoto (CoRR, 2025)

An On-Board Executable Multi-Feature Transfer-Enhanced Fusion Model for Three-Lead EEG Sensor-Assisted Depression Diagnosis. - Fuze Tian; Haojie Zhang; Yang Tan 003; Lixian Zhu; Lin Shen; Kun Qian 003; Bin Hu 001; Björn W. Schuller; Yoshiharu Yamamoto (IEEE J. Biomed. Health Informatics, 2025)

Creating Healthier Living Environments: The Role of Soundscapes in Promoting Mental Health and Well-Being. - Ziwen Sun; Jian Kang 002; Kun Qian 003; Björn W. Schuller; Bin Hu 001 (IEEE Trans. Comput. Soc. Syst., 2025)

Semantic Disentangling for Audiovisual Induced Emotion. - Qunxi Dong; Wang Zheng; Fuze Tian; Lixian Zhu; Kun Qian 003; Jingyu Liu 002; Xuan Zhang (IEEE Trans. Comput. Soc. Syst., 2025)

A Review of AIoT-Based Human Activity Recognition: From Application to Technique. - Wen Qi; Xiangmin Xu; Kun Qian 003; Björn W. Schuller; Giancarlo Fortino; Andrea Aliverti (IEEE J. Biomed. Health Informatics, 2025)

Decider: A Dual-System Rule-Controllable Decoding Framework for Language Generation. - Chen Xu; Tian Lan 003; Yu Ji; Changlong Yu; Wei Wang 138; Jun Gao; Qunxi Dong; Kun Qian 003; Piji Li; Wei Bi; Bin Hu 001 (IEEE Trans. Knowl. Data Eng., 2025)

FedKDC: Consensus-Driven Knowledge Distillation for Personalized Federated Learning in EEG-Based Emotion Recognition. - Xihang Qiu; Wanyong Qiu; Ye Zhang; Kun Qian 003; Chun Li; Bin Hu 001; Björn W. Schuller; Yoshiharu Yamamoto (IEEE J. Biomed. Health Informatics, 2025)

An AI-Assisted All-in-One Integrated Coronary Artery Disease Diagnosis System Using a Portable Heart Sound Sensor With an On-Board Executable Lightweight Model. - Haojie Zhang; Fuze Tian; Yang Tan 003; Lin Shen; Jingyu Liu 002; Jie Liu; Kun Qian 003; Yalei Han; Gong Su; Bin Hu 001; Björn W. Schuller; Yoshiharu Yamamoto (IEEE Trans. Mob. Comput., 2025)

MF$^{2}$-Net: Exploring a Meta-Fuzzy Multimodal Fusion Network for Depression Recognition. - Jian Shen 004; Jinwen Wu; Yanan Zhang; Kexin Zhu; Kang Wang 010; Wenbo Hu; Kechen Hou; Kun Qian 003; Xiaowei Zhang 001; Bin Hu 001 (IEEE Trans. Fuzzy Syst., 2025)