Operation Everest II: An indication of deterministic chaos in human heart rate variability at simulated extreme altitude. - Yoshiharu Yamamoto; Richard Lee Hughson; John R. Sutton; Charles S. Houston; Allen Cymerman; Ernest L. Fallen; Marked V. Kamath (Biol. Cybern., 1993)

Respiratory influences on non-linear dynamics of heart rate variability in humans. - Jacques Olivier Fortrat; Yoshiharu Yamamoto; Richard Lee Hughson (Biol. Cybern., 1997)

Recent Advances in Heart Rate Variability Signal Processing and Interpretation. - Sergio Cerutti; Ary L. Goldberger; Yoshiharu Yamamoto (IEEE Trans. Biomed. Eng., 2006)

Multiscale probability density function analysis: non-Gaussian and scale-Invariant fluctuations of healthy human heart rate. - Ken Kiyono; Zbigniew R. Struzik; Naoko Aoyagi; Yoshiharu Yamamoto (IEEE Trans. Biomed. Eng., 2006)

Aging of complex heart rate dynamics. - Zbigniew R. Struzik; Junichiro Hayano; R. Soma; Shin Kwak; Yoshiharu Yamamoto (IEEE Trans. Biomed. Eng., 2006)

Unique very low-frequency heart rate variability during deep sleep in humans. - Fumiharu Togo; Ken Kiyono; Zbigniew R. Struzik; Yoshiharu Yamamoto (IEEE Trans. Biomed. Eng., 2006)

Extracting a stimulus-unlocked component from EEG during NoGo trials of a Go/NoGo task. - Yusuke Takeda; Kentaro Yamanaka; Daichi Nozaki; Yoshiharu Yamamoto (NeuroImage, 2008)

Temporal decomposition of EEG during a simple reaction time task into stimulus- and response-locked components. - Yusuke Takeda; Kentaro Yamanaka; Yoshiharu Yamamoto (NeuroImage, 2008)

Single-trial EEG Power and Phase Dynamics Associated with Voluntary Response Inhibition. - Kentaro Yamanaka; Yoshiharu Yamamoto (J. Cogn. Neurosci., 2010)

A generalized method to estimate waveforms common across trials from EEGs. - Yusuke Takeda; Masa-aki Sato; Kentaro Yamanaka; Daichi Nozaki; Yoshiharu Yamamoto (NeuroImage, 2010)

Behavioral organization of locomotor activity and its modeling. - Toru Nakamura; Yoshiharu Yamamoto (SCIS&ISIS, 2012)

Co-variation of depressive mood and spontaneous physical activity evaluated by ecological momentary assessment in major depressive disorder. - Jinhyuk Kim; Toru Nakamura; Hiroe Kikuchi; Kazuhiro Yoshiuchi; Yoshiharu Yamamoto (EMBC, 2014)

MultiScale wavelet p-leader based heart rate variability analysis for survival probability assessment in CHF patients. - Herwig Wendt; Ken Kiyono; Patrice Abry; Junichiro Hayano; Eiichi Watanabe; Yoshiharu Yamamoto (EMBC, 2014)

Psychobehavioral validity of self-reported symptoms based on spontaneous physical activity. - Jinhyuk Kim; Toru Nakamura; Hiroe Kikuchi; Yoshiharu Yamamoto (EMBC, 2015)

Point-process high-resolution representations of heartbeat dynamics for multiscale analysis: A CHF survivor prediction study. - Gaetano Valenza; Herwig Wendt; Ken Kiyono; Junichiro Hayano; Eiichi Watanabe; Yoshiharu Yamamoto; Patrice Abry; Riccardo Barbieri (EMBC, 2015)

Covariation of Depressive Mood and Spontaneous Physical Activity in Major Depressive Disorder: Toward Continuous Monitoring of Depressive Mood. - Jinhyuk Kim; Toru Nakamura; Hiroe Kikuchi; Kazuhiro Yoshiuchi; Tsukasa Sasaki; Yoshiharu Yamamoto (IEEE J. Biomed. Health Informatics, 2015)

Long-range correlations in amplitude variability of HF and LF components of heart rate variability. - Yuki Miki; Yasuyuki Suzuki; Eiichi Watanabe; Junichiro Hayano; Yoshiharu Yamamoto; Taishin Nomura; Ken Kiyono (EMBC, 2016)

Multiscale Analysis of Intensive Longitudinal Biomedical Signals and Its Clinical Applications. - Toru Nakamura; Ken Kiyono; Herwig Wendt; Patrice Abry; Yoshiharu Yamamoto (Proc. IEEE, 2016)

Multiscale properties of instantaneous parasympathetic activity in severe congestive heart failure: A survivor vs non-survivor study. - Gaetano Valenza; Herwig Wendt; Ken Kiyono; Junichiro Hayano; Eiichi Watanabe; Yoshiharu Yamamoto; Patrice Abry; Riccardo Barbieri (EMBC, 2017)

Data-driven teaching assessment in inquiry-based learning by topic modeling. - Hiroyuki Kuromiya; Ichiro Hidaka; Yoshiharu Yamamoto (ICCE, 2018)

Mortality Prediction in Severe Congestive Heart Failure Patients With Multifractal Point-Process Modeling of Heartbeat Dynamics. - Gaetano Valenza; Herwig Wendt; Ken Kiyono; Junichiro Hayano; Eiichi Watanabe; Yoshiharu Yamamoto; Patrice Abry; Riccardo Barbieri (IEEE Trans. Biomed. Eng., 2018)

Group Activity Recognition to Support Collaboration in Creative Digital Space. - Bin Chen; Koki Hatada; Keiju Okabayashi; Hiroyuki Kuromiya; Ichiro Hidaka; Yoshiharu Yamamoto; Kazumasa Togami (CSCW Companion, 2019)

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)

Wavelet p-Leader Non Gaussian Multiscale Expansions for Heart Rate Variability Analysis in Congestive Heart Failure Patients. - Herwig Wendt; Patrice Abry; Ken Kiyono; Junichiro Hayano; Eiichi Watanabe; Yoshiharu Yamamoto (IEEE Trans. Biomed. Eng., 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)

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)

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)

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)

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)

Seasonal Sleep Variations and Their Association With Meteorological Factors: A Japanese Population Study Using Large-Scale Body Acceleration Data. - Li Li; Toru Nakamura; Junichiro Hayano; Yoshiharu Yamamoto (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)

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)

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)

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)

Dynamic Restrained Uncertainty Weighting Loss for Multitask Learning of Vocal Expression. - Meishu Song; Zijiang Yang 007; Andreas Triantafyllopoulos; Xin Jing; Vincent Karas; Jiangjian Xie; Zixing Zhang 001; Yoshiharu Yamamoto; Björn W. Schuller (CoRR, 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)

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)

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)

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)

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)

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)

Lecture Video Highlights Detection from Speech. - Meishu Song; Ilhan Aslan; Emilia Parada-Cabaleiro; Zijiang Yang 007; Elisabeth André; Yoshiharu Yamamoto; Björn W. Schuller (EUSIPCO, 2024)

Temporal Oriented ResNet for Gaming Dimensional Emotion Prediction. - Meishu Song; Xin Jing; Emilia Parada-Cabaleiro; Zijiang Yang 007; Yoshiharu Yamamoto; Björn W. Schuller (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)

Macro-Sleep Staging With ECG-Derived Instantaneous Heart Rate and Respiration Signals and Multi-Input 1-D CNN-BiGRU. - Roneel V. Sharan; Hiroki Takeuchi; Akifumi Kishi; Yoshiharu Yamamoto (IEEE Trans. Instrum. Meas., 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)

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)

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)

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)