Kun Qian - RankMe

140 papers A* 1A 10C 4Misc 7Journal 77Unranked 40

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BBANet: Bilateral biological auditory-inspired neural network for heart sound classification. Eng. Appl. Artif. Intell. Yang Tan, Haojie Zhang, Jingwen Xu, Hanhan Wu, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller
2026	J	`jnl`	Body sound denoising technologies: A survey and validation. Biomed. Signal Process. Control. Enze Li, Haojie Zhang, Kun Qian, Fuze Tian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
2026	J	`jnl`	Breaking through data scarcity: A novel diffusion model approach for snoring sound augmentation and classification. Biomed. Signal Process. Control. Tianrui Jia, Haojie Zhang, Hanhan Wu, Qiyang Sun, Xin Jing, Boyang Meng, Lin Shen, Liang Wang, Kun Qian, Ye Zhang, Bin Hu, Tanja Schultz, Björn W. Schuller, Yoshiharu Yamamoto
2026	J	`jnl`	Decoding nature's melody: significance and challenges of machine learning in assessing bird diversity via soundscape analysis. Artif. Intell. Rev. Jiangjian Xie, Shanshan Xie, Yang Liu, Xin Jing, Mengkun Zhu, Linlin Xie, Junguo Zhang, Kun Qian, Björn W. Schuller
2026	C	`conf`	Dendritic-Spine-Inspired Structural Optimization in a Lightweight Bowel Sound Analysis System for On-Device Colorectal Cancer Screening. ICCE Haojie Zhang, Enze Li, Yang Tan, Lin Shen, Kun Qian, Jing Li, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
2026	J	`jnl`	FedVCPL-Diff: A federated convolutional prototype learning framework with a diffusion model for speech emotion recognition. Inf. Fusion Ruobing Li, Yifan Feng, Lin Shen, Liuxian Ma, Haojie Zhang, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller
2026	J	`jnl`	Federated learning for prenatal detection of interrupted aortic arch using fetal ultrasound imaging. Biomed. Signal Process. Control. Jiancheng Han, Heqing Wang, Yifan Feng, Qi Yang, Jingtan Li, Haojie Zhang, Yihua He, Jiang Liu, Toru Nakamura, Yang Cao, Naidi Sun, Kun Qian, Bin Hu, Xinru Gao, Yan Xia, Zongjie Weng, Björn W. Schuller, Yoshiharu Yamamoto
2026	J	`jnl`	Hybrid Source Selection Fusion Domain-Invariant Attention for Cross-Subject Emotion Recognition. IEEE Trans. Affect. Comput. Gang Luo, Yao Zou, Shuaiyi Xu, Wei Zhang, Lixian Zhu, Fuze Tian, Na Chu, Kun Qian, Xiaowei Li, Jingxin Liu, Shuting Sun, Bin Hu
2025	J	`jnl`	A First Look at Generative Artificial Intelligence-Based Music Therapy for Mental Disorders. IEEE Trans. Consumer Electron. Lin Shen, Haojie Zhang, Cuiping Zhu, Ruobing Li, Kun Qian, Wei Meng, Fuze Tian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
2025	J	`jnl`	A Review of AIoT-Based Human Activity Recognition: From Application to Technique. IEEE J. Biomed. Health Informatics Wen Qi, Xiangmin Xu, Kun Qian, Björn W. Schuller, Giancarlo Fortino, Andrea Aliverti
2025	J	`jnl`	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. IEEE Trans. Mob. Comput. Haojie Zhang, Fuze Tian, Yang Tan, Lin Shen, Jingyu Liu, Jie Liu, Kun Qian, Yalei Han, Gong Su, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
2025	J	`jnl`	An On-Board Executable Multi-Feature Transfer-Enhanced Fusion Model for Three-Lead EEG Sensor-Assisted Depression Diagnosis. IEEE J. Biomed. Health Informatics Fuze Tian, Haojie Zhang, Yang Tan, Lixian Zhu, Lin Shen, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
2025	A	`conf`	Breaking Resource Barriers in Speech Emotion Recognition via Data Distillation. INTERSPEECH Yi Chang, Zhao Ren, Zhonghao Zhao, Thanh Tam Nguyen, Kun Qian, Tanja Schultz, Björn W. Schuller
2025	J	`jnl`	Computer audition for healthcare: A survey on speech analysis. AI Open Kun Qian, Zhonghao Zhao, Yang Tan, Weijia Zhang, Minki Cho, Cuiping Zhu, Fuze Tian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller
2025	J	`jnl`	Creating Healthier Living Environments: The Role of Soundscapes in Promoting Mental Health and Well-Being. IEEE Trans. Comput. Soc. Syst. Ziwen Sun, Jian Kang, Kun Qian, Björn W. Schuller, Bin Hu
2025	J	`jnl`	Decider: A Dual-System Rule-Controllable Decoding Framework for Language Generation. IEEE Trans. Knowl. Data Eng. Chen Xu, Tian Lan, Yu Ji, Changlong Yu, Wei Wang, Jun Gao, Qunxi Dong, Kun Qian, Piji Li, Wei Bi, Bin Hu
2025	J	`jnl`	Enhancing Emotion Regulation in Mental Disorder Treatment: An AIGC-Based Closed-Loop Music Intervention System. IEEE Trans. Affect. Comput. Lin Shen, Haojie Zhang, Cuiping Zhu, Ruobing Li, Kun Qian, Fuze Tian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
2025	A	`conf`	Exploring the Power of Empirical Mode Decomposition for Sensing the Sound of Silence: A Pilot Study on Mice Autism Detection via Ultrasonic Vocalisation. INTERSPEECH Chenhao Wu, Xiangjun Cai, Haojie Zhang, Tianrui Jia, Yilu Deng, Kun Qian, Björn W. Schuller, Yoshiharu Yamamoto, Jiang Liu
2025	J	`jnl`	FedKDC: Consensus-Driven Knowledge Distillation for Personalized Federated Learning in EEG-Based Emotion Recognition. IEEE J. Biomed. Health Informatics Xihang Qiu, Wanyong Qiu, Ye Zhang, Kun Qian, Chun Li, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
2025	J	`jnl`	GCD-JFSE: Graph-based class-domain knowledge joint feature selection and ensemble learning for EEG-based emotion recognition. Knowl. Based Syst. Gang Luo, Yutong Han, Weichu Xie, Fuze Tian, Lixian Zhu, Kun Qian, Xiaowei Li, Shuting Sun, Bin Hu
2025	J	`jnl`	IMGWOFS: A Feature Selector With Trade-Off Between Conflict Objectives for EEG-Based Emotion Recognition. IEEE Trans. Affect. Comput. Gang Luo, Shuting Sun, Chang Yan, Shanshan Qu, Dixin Wang, Na Chu, Xuesong Liu, Fuze Tian, Kun Qian, Xiaowei Li, Bin Hu
2025	J	`jnl`	Information Diffusion Prediction With Augmented Diffusion Dependency and Multigranularity Temporal Influence. IEEE Trans. Comput. Soc. Syst. Zekun Tao, Changjian Wang, Kele Xu, Tao Sun, Yong Guo, Kun Qian, Yanru Bai, Shanshan Li
2025	A	`conf`	MADUV: The 1st INTERSPEECH Mice Autism Detection via Ultrasound Vocalization Challenge. INTERSPEECH Zijiang Yang, Meishu Song, Xin Jing, Haojie Zhang, Kun Qian, Bin Hu, Kota Tamada, Toru Takumi, Björn W. Schuller, Yoshiharu Yamamoto
2025	J	`jnl`	MADUV: The 1st INTERSPEECH Mice Autism Detection via Ultrasound Vocalization Challenge. CoRR Zijiang Yang, Meishu Song, Xin Jing, Haojie Zhang, Kun Qian, Bin Hu, Kota Tamada, Toru Takumi, Björn W. Schuller, Yoshiharu Yamamoto
2025	J	`jnl`	MF$^{2}$-Net: Exploring a Meta-Fuzzy Multimodal Fusion Network for Depression Recognition. IEEE Trans. Fuzzy Syst. Jian Shen, Jinwen Wu, Yanan Zhang, Kexin Zhu, Kang Wang, Wenbo Hu, Kechen Hou, Kun Qian, Xiaowei Zhang, Bin Hu
2025	J	`jnl`	STAA-Net: A Sparse and Transferable Adversarial Attack for Speech Emotion Recognition. IEEE Trans. Affect. Comput. Yi Chang, Zhao Ren, Zixing Zhang, Xin Jing, Kun Qian, Xi Shao, Bin Hu, Tanja Schultz, Björn W. Schuller
2025	J	`jnl`	Semantic Disentangling for Audiovisual Induced Emotion. IEEE Trans. Comput. Soc. Syst. Qunxi Dong, Wang Zheng, Fuze Tian, Lixian Zhu, Kun Qian, Jingyu Liu, Xuan Zhang
2025	J	`jnl`	Toward Practical Colorectal Cancer Diagnosis: A Bowel-Sound-Based System With Portable Sensor and On-Board Lightweight AI Model. IEEE Internet Things J. Haojie Zhang, Fuze Tian, Yang Tan, Lin Shen, Enze Li, Jiedong Ma, Jingyu Liu, Kun Qian, Jing Li, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller
2024	J	`jnl`	A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era. IEEE Comput. Intell. Mag. Zhao Ren, Yi Chang, Thanh Tam Nguyen, Yang Tan, Kun Qian, Björn W. Schuller
2024	J	`jnl`	A Novel Intelligence Evaluation Framework: Exploring the Psychophysiological Patterns of Gifted Students. IEEE Trans. Comput. Soc. Syst. Jian Shen, Kexin Zhu, Zeguang Zhao, Huajian Liang, Yu Ma, Kun Qian, Yanan Zhang, Qunxi Dong
2024	J	`jnl`	Automated Cough Sound Analysis for Detecting Childhood Pneumonia. IEEE J. Biomed. Health Informatics Roneel V. Sharan, Kun Qian, Yoshiharu Yamamoto
2024	J	`jnl`	Automatic Bird Sound Source Separation Based on Passive Acoustic Devices in Wild Environment. IEEE Internet Things J. Jiangjian Xie, Yuwei Shi, Dongming Ni, Manuel Milling, Shuo Liu, Junguo Zhang, Kun Qian, Björn W. Schuller
2024	C	`conf`	Clearer Lub-Dub: A Novel Approach in Heart Sound Denoising Based on Transfer Learning. HealthCom Peng Gao, Haojie Zhang, Lin Shen, Yongxin Zhang, Jiang Liu, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
2024	J	`jnl`	DECIDER: A Rule-Controllable Decoding Strategy for Language Generation by Imitating Dual-System Cognitive Theory. CoRR Chen Xu, Tian Lan, Changlong Yu, Wei Wang, Jun Gao, Yu Ji, Qunxi Dong, Kun Qian, Piji Li, Wei Bi, Bin Hu
2024	Misc	`conf`	Deep Fusion of Shifted MLP and CNN for Medical Image Segmentation. ICASSP 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
2024	A	`conf`	E-ODN: An Emotion Open Deep Network for Generalised and Adaptive Speech Emotion Recognition. INTERSPEECH Liuxian Ma, Lin Shen, Ruobing Li, Haojie Zhang, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
2024	J	`jnl`	Fed-MStacking: Heterogeneous Federated Learning With Stacking Misaligned Labels for Abnormal Heart Sound Detection. IEEE J. Biomed. Health Informatics Wanyong Qiu, Yifan Feng, Yuying Li, Yi Chang, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller
2024	J	`jnl`	Heart Sound Abnormality Detection From Multi-Institutional Collaboration: Introducing a Federated Learning Framework. IEEE Trans. Biomed. Eng. Wanyong Qiu, Chen Quan, Lixian Zhu, Yongzi Yu, Zhihua Wang, Yu Ma, Mengkai Sun, Yi Chang, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller
2024	C	`conf`	Inspiration of Prototype Knowledge: Introducing a Meta-Learning Approach to Heart Sound Classification. HealthCom Qingrong Wu, Mengkai Sun, Haojie Zhang, Yongxin Zhang, Yiming Liu, Boyang Meng, Kun Qian, Bin Hu, Toru Nakamura, Taishin Nomura, Björn W. Schuller, Yoshiharu Yamamoto
2024	J	`jnl`	LEPCNet: A Lightweight End-to-End PCG Classification Neural Network Model for Wearable Devices. IEEE Trans. Instrum. Meas. Lixian Zhu, Wanyong Qiu, Yu Ma, Fuze Tian, Mengkai Sun, Zhihua Wang, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller
2024	J	`jnl`	Physiological Electrosignal Asynchronous Acquisition Technology: Insight and Perspectives. IEEE Trans. Comput. Soc. Syst. Bin Hu, Lixian Zhu, Qunxi Dong, Kun Qian, Hanshu Cai, Fuze Tian
2024	J	`jnl`	STAA-Net: A Sparse and Transferable Adversarial Attack for Speech Emotion Recognition. CoRR Yi Chang, Zhao Ren, Zixing Zhang, Xin Jing, Kun Qian, Xi Shao, Bin Hu, Tanja Schultz, Björn W. Schuller
2024	J	`jnl`	Speech Emotion Recognition under Resource Constraints with Data Distillation. CoRR Yi Chang, Zhao Ren, Zhonghao Zhao, Thanh Tam Nguyen, Kun Qian, Tanja Schultz, Björn W. Schuller
2024	A	`conf`	Study Selectively: An Adaptive Knowledge Distillation based on a Voting Network for Heart Sound Classification. INTERSPEECH Xihang Qiu, Lixian Zhu, Zikai Song, Zeyu Chen, Haojie Zhang, Kun Qian, Ye Zhang, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller
2024	—	`conf`	Weight Light, Hear Right: Heart Sound Classification with a Low-Complexity Model. EUSIPCO Jiahao Ji, Lixian Zhu, Haojie Zhang, Kun Qian, Kele Xu, Zikai Song, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
2023	J	`jnl`	A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era. CoRR Zhao Ren, Yi Chang, Thanh Tam Nguyen, Yang Tan, Kun Qian, Björn W. Schuller
2023	C	`conf`	AMNet: Introducing an Adaptive Mel-Spectrogram End-to-End Neural Network for Heart Sound Classification. HealthCom Yang Tan, Zhihua Wang, Kun Qian, Zhihao Bao, Zheyu Cao, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller
2023	—	`conf`	An End-to-End Model for Mental Disorders Detection by Spontaneous Physical Activity Data. ICDM (Workshops) Dewen Xu, Zhihua Wang, Tsuyoshi Kitajima, Toru Nakamura, Hiroko Shimura, Hiroki Takeuchi, Yang Tan, Runze Ge, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
2023	—	`conf`	An End-to-End Model for Speech-based Somatisation Disorder Detection. GCCE Runze Ge, Zhihua Wang, Zhonghao Zhao, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
2023	—	`conf`	An Investigation on Data Augmentation and Multiple Instance Learning for Diagnosis of COVID-19 from Speech and Cough Sound. ICCE-Taiwan Tomoya Koike, Zhihua Wang, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
2023	—	`conf`	An Overview of the ICASSP Special Session on AI Security and Privacy in Speech and Audio Processing. MMAsia (Workshops) Zhao Ren, Kun Qian, Tanja Schultz, Björn W. Schuller
2023	A*	`conf`	Automatic Audio Augmentation for Requests Sub-Challenge. ACM Multimedia Yanjie Sun, Kele Xu, Chaorun Liu, Yong Dou, Kun Qian
2023	J	`jnl`	Battling with the low-resource condition for snore sound recognition: introducing a meta-learning strategy. EURASIP J. Audio Speech Music. Process. Jingtan Li, Mengkai Sun, Zhonghao Zhao, Xingcan Li, Gaigai Li, Chen Wu, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller
2023	J	`jnl`	Can a Holistic View Facilitate the Development of Intelligent Traditional Chinese Medicine? A Survey. IEEE Trans. Comput. Soc. Syst. 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
2023	—	`conf`	Crossmodal Transformer on Multi-Physical Signals for Personalised Daily Mental Health Prediction. ICDM (Workshops) 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
2023	—	`conf`	Cutting Weights of Deep Learning Models for Heart Sound Classification: Introducing a Knowledge Distillation Approach. EMBC Zikai Song, Lixian Zhu, Yiyan Wang, Mengkai Sun, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller
2023	Misc	`conf`	Daily Mental Health Monitoring from Speech: A Real-World Japanese Dataset and Multitask Learning Analysis. ICASSP 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
2023	J	`jnl`	Depression Recognition From EEG Signals Using an Adaptive Channel Fusion Method via Improved Focal Loss. IEEE J. Biomed. Health Informatics Jian Shen, Yanan Zhang, Huajian Liang, Zeguang Zhao, Kexin Zhu, Kun Qian, Qunxi Dong, Xiaowei Zhang, Bin Hu
2023	—	`conf`	Detecting Childhood Pneumonia Using Handcrafted and Deep Learning Cough Sound Features and Multilayer Perceptron. EMBC Roneel V. Sharan, Kun Qian, Yoshiharu Yamamoto
2023	J	`jnl`	Editorial: Human-centred computer audition: sound, music, and healthcare. Frontiers Digit. Health Kun Qian, Gyorgy Fazekas, Shengchen Li, Zijin Li, Björn W. Schuller
2023	—	`conf`	Explainable Stuttering Recognition Using Axial Attention. ICIC (3) 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
2023	J	`jnl`	Exploring interpretable representations for heart sound abnormality detection. Biomed. Signal Process. Control. Zhihua Wang, Kun Qian, Houguang Liu, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
2023	Misc	`conf`	Federated Intelligent Terminals Facilitate Stuttering Monitoring. ICASSP Yongzi Yu, Wanyong Qiu, Chen Quan, Kun Qian, Zhihua Wang, Yu Ma, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
2023	—	`conf`	How does Music Affect Your Brain? A Pilot Study on EEG and Music Features for Automatic Analysis. EMBC Gang Luo, Shuting Sun, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
2023	J	`jnl`	Intelligent Music Intervention for Mental Disorders: Insights and Perspectives. IEEE Trans. Comput. Soc. Syst. Kun Qian, Björn W. Schuller, Xiaohong Guan, Bin Hu
2023	Misc	`conf`	Knowledge Transfer for on-Device Speech Emotion Recognition With Neural Structured Learning. ICASSP Yi Chang, Zhao Ren, Thanh Tam Nguyen, Kun Qian, Björn W. Schuller
2023	—	`conf`	Less is More: A Novel Feature Extraction Method for Heart Sound Classification via Fractal Transformation. EMBC Cuiping Zhu, Zhonghao Zhao, Yang Tan, Mengkai Sun, Kun Qian, Tao Jiang, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
2023	—	`conf`	Multi-Track Music Generation with WGAN-GP and Attention Mechanisms. GCCE Luyu Chen, Lin Shen, Dan Yu, Zhihua Wang, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
2023	—	`conf`	Snore Sound Recognition via an Explainable Capsule Network. GCCE Minki Cho, Zhonghao Zhao, Zhihua Wang, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller
2023	—	`conf`	Somatisation Disorder Detection via Speech: Introducing a Self-Supervised Learning Model. EMBC Zhihao Bao, Kun Qian, Zhonghao Zhao, Mengkai Sun, Ruolan Huang, Dewen Xu, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller
2023	J	`jnl`	The Three-Lead EEG Sensor: Introducing an EEG-Assisted Depression Diagnosis System Based on Ant Lion Optimization. IEEE Trans. Biomed. Circuits Syst. Fuze Tian, Lixian Zhu, Qiuxia Shi, Rui Wang, Lixin Zhang, Qunxi Dong, Kun Qian, Qinglin Zhao, Bin Hu
2022	—	`conf`	A Federated Learning Paradigm for Heart Sound Classification. EMBC Wanyong Qiu, Kun Qian, Zhihua Wang, Yi Chang, Zhihao Bao, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
2022	Misc	`conf`	A Glance-and-Gaze Network for Respiratory Sound Classification. ICASSP Shuai Yu, Yiwei Ding, Kun Qian, Bin Hu, Wei Li, Björn W. Schuller
2022	Misc	`conf`	An Overview of the FIRST ICASSP Special Session on Computer Audition for Healthcare. ICASSP Kun Qian, Tanja Schultz, Björn W. Schuller
2022	J	`jnl`	Audio Self-supervised Learning: A Survey. CoRR Shuo Liu, Adria Mallol-Ragolta, Emilia Parada-Cabaleiro, Kun Qian, Xin Jing, Alexander Kathan, Bin Hu, Björn W. Schuller
2022	J	`jnl`	Audio self-supervised learning: A survey. Patterns Shuo Liu, Adria Mallol-Ragolta, Emilia Parada-Cabaleiro, Kun Qian, Xin Jing, Alexander Kathan, Bin Hu, Björn W. Schuller
2022	J	`jnl`	COVID-19's Impact on Mental Health - The Hour of Computational Aid? IEEE Trans. Comput. Soc. Syst. Björn W. Schuller, Johanna Löchner, Kun Qian, Bin Hu
2022	J	`jnl`	Capturing Time Dynamics From Speech Using Neural Networks for Surgical Mask Detection. IEEE J. Biomed. Health Informatics Shuo Liu, Adria Mallol-Ragolta, Tianhao Yan, Kun Qian, Emilia Parada-Cabaleiro, Bin Hu, Björn W. Schuller
2022	J	`jnl`	Digital Mental Health - Breaking a Lance for Prevention. IEEE Trans. Comput. Soc. Syst. Björn W. Schuller, Johanna Löchner, Kun Qian, Bin Hu
2022	J	`jnl`	Fundamentals of Computational Psychophysiology: Theory and Methodology. IEEE Trans. Comput. Soc. Syst. Bin Hu, Jian Shen, Lixian Zhu, Qunxi Dong, Hanshu Cai, Kun Qian
2022	—	`conf`	Heart Sound Classification based on Fractional Fourier Transformation Entropy. LifeTech Yang Tan, Zhihua Wang, Kun Qian, Bin Hu, Shiliang Zhao, Björn W. Schuller, Yoshiharu Yamamoto
2022	—	`conf`	Heart Sound Classification based on Residual Shrinkage Networks. EMBC Lixian Zhu, Kun Qian, Zhihua Wang, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller
2022	J	`jnl`	Knowledge Transfer For On-Device Speech Emotion Recognition with Neural Structured Learning. CoRR Yi Chang, Zhao Ren, Thanh Tam Nguyen, Kun Qian, Björn W. Schuller
2022	J	`jnl`	Learning Multimodal Representations for Drowsiness Detection. IEEE Trans. Intell. Transp. Syst. Kun Qian, Tomoya Koike, Toru Nakamura, Björn W. Schuller, Yoshiharu Yamamoto
2022	J	`jnl`	MEDAS: an open-source platform as a service to help break the walls between medicine and informatics. Neural Comput. Appl. 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
2022	J	`jnl`	Psychological Field Versus Physiological Field: From Qualitative Analysis to Quantitative Modeling of the Mental Status. IEEE Trans. Comput. Soc. Syst. Bin Hu, Kun Qian, Qunxi Dong, Yuejia Luo, Yoshiharu Yamamoto, Björn W. Schuller
2022	—	`conf`	When Traditional Chinese Medicine Meets AI: A Novel Depression Treatment Paradigm based on Transcutaneous Vagus Nerve Stimulation. ACIIW Lixian Zhu, Chang Yan, Xiaokun Jin, Fuze Tian, Yanan Zhao, Yu Ma, Yeqi Jia, Qunxi Dong, Peijing Rong, Kun Qian, Bin Hu
2021	J	`jnl`	An Online Robot Collision Detection and Identification Scheme by Supervised Learning and Bayesian Decision Theory. IEEE Trans Autom. Sci. Eng. Zengjie Zhang, Kun Qian, Björn W. Schuller, Dirk Wollherr
2021	J	`jnl`	Artificial Intelligence Internet of Things for the Elderly: From Assisted Living to Health-Care Monitoring. IEEE Signal Process. Mag. Kun Qian, Zixing Zhang, Yoshiharu Yamamoto, Björn W. Schuller
2021	J	`jnl`	COVID-19 and Computer Audition: An Overview on What Speech & Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis. Frontiers Digit. Health Björn W. Schuller, Dagmar M. Schuller, Kun Qian, Juan Liu, Huaiyuan Zheng, Xiao Li
2021	J	`jnl`	Can Appliances Understand the Behavior of Elderly Via Machine Learning? A Feasibility Study. IEEE Internet Things J. Kun Qian, Tomoya Koike, Kazuhiro Yoshiuchi, Björn W. Schuller, Yoshiharu Yamamoto
2021	J	`jnl`	Can Machine Learning Assist Locating the Excitation of Snore Sound? A Review. IEEE J. Biomed. Health Informatics Kun Qian, Christoph Janott, Maximilian Schmitt, Zixing Zhang, Clemens Heiser, Werner Hemmert, Yoshiharu Yamamoto, Björn W. Schuller
2021	J	`jnl`	Computer Audition for Fighting the SARS-CoV-2 Corona Crisis - Introducing the Multitask Speech Corpus for COVID-19. IEEE Internet Things J. 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
2021	J	`jnl`	Deep Attention-based Representation Learning for Heart Sound Classification. CoRR Zhao Ren, Kun Qian, Fengquan Dong, Zhenyu Dai, Yoshiharu Yamamoto, Björn W. Schuller
2021	J	`jnl`	Editorial: Machine Learning for Non/Less-Invasive Methods in Health Informatics. Frontiers Digit. Health Kun Qian, Liang Zhang, Kezhi Li, Juan Liu
2021	J	`jnl`	Learning audio sequence representations for acoustic event classification. Expert Syst. Appl. Zixing Zhang, Ding Liu, Jing Han, Kun Qian, Björn W. Schuller
2021	J	`jnl`	Multi-label learning with missing and completely unobserved labels. Data Min. Knowl. Discov. Jun Huang, Linchuan Xu, Kun Qian, Jing Wang, Kenji Yamanishi
2021	—	`conf`	Predicting Group Work Performance from Physical Handwriting Features in a Smart English Classroom. ICDSP 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
2021	—	`conf`	Recent Advances in Computer Audition for Diagnosing COVID-19: An Overview. LifeTech Kun Qian, Björn W. Schuller, Yoshiharu Yamamoto
2021	—	`conf`	Sensing the Sounds of Silence: A Pilot Study on the Detection of Model Mice of Autism Spectrum Disorder from Ultrasonic Vocalisations. EMBC Kun Qian, Tomoya Koike, Kota Tamada, Toru Takumi, Björn W. Schuller, Yoshiharu Yamamoto
2021	—	`conf`	Transferring Cross-Corpus Knowledge: An Investigation on Data Augmentation for Heart Sound Classification. EMBC Tomoya Koike, Kun Qian, Björn W. Schuller, Yoshiharu Yamamoto
2020	A	`conf`	An Early Study on Intelligent Analysis of Speech Under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety. INTERSPEECH 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
2020	J	`jnl`	An Early Study on Intelligent Analysis of Speech under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety. CoRR 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
2020	—	`conf`	Audio for Audio is Better? An Investigation on Transfer Learning Models for Heart Sound Classification. EMBC Tomoya Koike, Kun Qian, Qiuqiang Kong, Mark D. Plumbley, Björn W. Schuller, Yoshiharu Yamamoto
2020	J	`jnl`	COVID-19 and Computer Audition: An Overview on What Speech & Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis. CoRR Björn W. Schuller, Dagmar M. Schuller, Kun Qian, Juan Liu, Huaiyuan Zheng, Xiao Li
2020	—	`conf`	Can Affective Computing Better the Mental Status of the Electronic Games Player? A Perspective. LifeTech Yueheng Wang, Kun Qian, Jacob Nelson, Hiromichi Yagi, Akifumi Kishi, Kenji Morita, Yoshiharu Yamamoto
2020	J	`jnl`	Computer Audition for Healthcare: Opportunities and Challenges. Frontiers Digit. Health 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
2020	—	`conf`	Learning Higher Representations from Bioacoustics: A Sequence-to-Sequence Deep Learning Approach for Bird Sound Classification. ICONIP (5) Yu Qiao, Kun Qian, Ziping Zhao
2020	A	`conf`	Learning Higher Representations from Pre-Trained Deep Models with Data Augmentation for the COMPARE 2020 Challenge Mask Task. INTERSPEECH Tomoya Koike, Kun Qian, Björn W. Schuller, Yoshiharu Yamamoto
2020	J	`jnl`	Machine Listening for Heart Status Monitoring: Introducing and Benchmarking HSS - The Heart Sounds Shenzhen Corpus. IEEE J. Biomed. Health Informatics Fengquan Dong, Kun Qian, Zhao Ren, Alice Baird, Xinjian Li, Zhenyu Dai, Bo Dong, Florian Metze, Yoshiharu Yamamoto, Björn W. Schuller
2020	J	`jnl`	MeDaS: An open-source platform as service to help break the walls between medicine and informatics. CoRR Liang Zhang, Johann Li, Ping Li, Xiaoyuan Lu, Peiyi Shen, Guangming Zhu, Syed Afaq Ali Shah, Mohammed Bennamoun, Kun Qian, Björn W. Schuller
2020	J	`jnl`	Recent Advances in Computer Audition for Diagnosing COVID-19: An Overview. CoRR Kun Qian, Björn W. Schuller, Yoshiharu Yamamoto
2020	J	`jnl`	Snore-GANs: Improving Automatic Snore Sound Classification With Synthesized Data. IEEE J. Biomed. Health Informatics Zixing Zhang, Jing Han, Kun Qian, Christoph Janott, Yanan Guo, Björn W. Schuller
2020	J	`jnl`	Validity of machine learning in biology and medicine increased through collaborations across fields of expertise. Nat. Mach. Intell. 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
2020	J	`jnl`	deepSELF: An Open Source Deep Self End-to-End Learning Framework. CoRR Tomoya Koike, Kun Qian, Björn W. Schuller, Yoshiharu Yamamoto
2019	—	`conf`	Automatic Detection of Major Depressive Disorder via a Bag-of-Behaviour-Words Approach. ISICDM Kun Qian, Hiroyuki Kuromiya, Zhao Ren, Maximilian Schmitt, Zixing Zhang, Toru Nakamura, Kazuhiro Yoshiuchi, Björn W. Schuller, Yoshiharu Yamamoto
2019	—	`conf`	Deep Wavelets for Heart Sound Classification. ISPACS Kun Qian, Zhao Ren, Fengquan Dong, Wen-Hsing Lai, Björn W. Schuller, Yoshiharu Yamamoto
2019	J	`jnl`	Snore-GANs: Improving Automatic Snore Sound Classification with Synthesized Data. CoRR Zixing Zhang, Jing Han, Kun Qian, Christoph Janott, Yanan Guo, Björn W. Schuller
2019	—	`conf`	Teaching Machines to Know Your Depressive State: On Physical Activity in Health and Major Depressive Disorder. EMBC Kun Qian, Hiroyuki Kuromiya, Zixing Zhang, Jinhyuk Kim, Toru Nakamura, Kazuhiro Yoshiuchi, Björn W. Schuller, Yoshiharu Yamamoto
2018	—	`conf`	Attention-based convolutional neural networks for acoustic scene classification. DCASE Zhao Ren, Qiuqiang Kong, Kun Qian, Mark D. Plumbley, Björn W. Schuller
2018	—	`—`	Automatic General Audio Signal Classification. Kun Qian
2018	J	`jnl`	Deep Scalogram Representations for Acoustic Scene Classification. IEEE CAA J. Autom. Sinica Zhao Ren, Kun Qian, Yebin Wang, Zixing Zhang, Vedhas Pandit, Alice Baird, Björn W. Schuller
2018	—	`conf`	Deep Unsupervised Representation Learning for Abnormal Heart Sound Classification. EMBC Shahin Amiriparian, Maximilian Schmitt, Nicholas Cummins, Kun Qian, Fengquan Dong, Björn W. Schuller
2018	A	`conf`	Evolving Learning for Analysing Mood-Related Infant Vocalisation. INTERSPEECH Zixing Zhang, Jing Han, Kun Qian, Björn W. Schuller
2018	—	`conf`	Learning Image-based Representations for Heart Sound Classification. DH Zhao Ren, Nicholas Cummins, Vedhas Pandit, Jing Han, Kun Qian, Björn W. Schuller
2018	J	`jnl`	Snoring classified: The Munich-Passau Snore Sound Corpus. Comput. Biol. Medicine Christoph Janott, Maximilian Schmitt, Yue Zhang, Kun Qian, Vedhas Pandit, Zixing Zhang, Clemens Heiser, Winfried Hohenhorst, Michael Herzog, Werner Hemmert, Björn W. Schuller
2018	A	`conf`	The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical & Self-Assessed Affect, Crying & Heart Beats. INTERSPEECH 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
2017	J	`jnl`	Classification of the Excitation Location of Snore Sounds in the Upper Airway by Acoustic Multifeature Analysis. IEEE Trans. Biomed. Eng. Kun Qian, Christoph Janott, Vedhas Pandit, Zixing Zhang, Clemens Heiser, Winfried Hohenhorst, Michael Herzog, Werner Hemmert, Björn W. Schuller
2017	—	`conf`	Deep Sequential Image Features on Acoustic Scene Classification. DCASE Zhao Ren, Vedhas Pandit, Kun Qian, Zijiang Yang, Zixing Zhang, Björn W. Schuller
2017	—	`conf`	Snore sound recognition: On wavelets and classifiers from deep nets to kernels. EMBC Kun Qian, Christoph Janott, Jun Deng, Clemens Heiser, Winfried Hohenhorst, Michael Herzog, Nicholas Cummins, Björn W. Schuller
2017	—	`conf`	Speech-based Diagnosis of Autism Spectrum Condition by Generative Adversarial Network Representations. DH Jun Deng, Nicholas Cummins, Maximilian Schmitt, Kun Qian, Fabien Ringeval, Björn W. Schuller
2017	A	`conf`	The INTERSPEECH 2017 Computational Paralinguistics Challenge: Addressee, Cold & Snoring. INTERSPEECH 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
2017	—	`conf`	Wavelets Revisited for the Classification of Acoustic Scenes. DCASE Kun Qian, Zhao Ren, Vedhas Pandit, Zijiang Yang, Zixing Zhang, Björn W. Schuller
2016	—	`conf`	A Bag-of-Audio-Words Approach for Snore Sounds' Excitation Localisation. ITG Symposium on Speech Communication Maximilian Schmitt, Christoph Janott, Vedhas Pandit, Kun Qian, Clemens Heiser, Werner Hemmert, Björn W. Schuller
2016	—	`conf`	GPU-based fast signal processing for large amounts of snore sound data. GCCE Jian Guo, Kun Qian, Huijie Xu, Christoph Janott, Björn W. Schuller, Satoshi Matsuoka
2016	Misc	`conf`	Wavelet features for classification of vote snore sounds. ICASSP Kun Qian, Christoph Janott, Zixing Zhang, Clemens Heiser, Björn W. Schuller
2015	J	`jnl`	Automatic detection, segmentation and classification of snore related signals from overnight audio recording. IET Signal Process. Kun Qian, Zhiyong Xu, Huijie Xu, Yaqi Wu, Zhao Zhao
2015	—	`conf`	Bird sounds classification by large scale acoustic features and extreme learning machine. GlobalSIP Kun Qian, Zixing Zhang, Fabien Ringeval, Björn W. Schuller
2014	—	`conf`	Automatic detection of inspiration related snoring signals from original audio recording. ChinaSIP Kun Qian, Zhiyong Xu, Huijie Xu, Boon Poh Ng
2013	—	`conf`	A Cloud Computing System for Snore Signals Processing. APPT Jian Guo, Kun Qian, Zhaomeng Zhu, Gongxuan Zhang, Huijie Xu