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Mengkai Sun
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2020 – today
- 2024
- [j4]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:
Heart Sound Abnormality Detection From Multi-Institutional Collaboration: Introducing a Federated Learning Framework. IEEE Trans. Biomed. Eng. 71(10): 2802-2813 (2024) - [j3]Lixian Zhu, Wanyong Qiu, Yu Ma, Fuze Tian, Mengkai Sun, Zhihua Wang, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller:
LEPCNet: A Lightweight End-to-End PCG Classification Neural Network Model for Wearable Devices. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - 2023
- [j2]Jingtan Li, Mengkai Sun, Zhonghao Zhao, Xingcan Li, Gaigai Li, Chen Wu, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller:
Battling with the low-resource condition for snore sound recognition: introducing a meta-learning strategy. EURASIP J. Audio Speech Music. Process. 2023(1): 43 (2023) - [j1]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:
Can a Holistic View Facilitate the Development of Intelligent Traditional Chinese Medicine? A Survey. IEEE Trans. Comput. Soc. Syst. 10(2): 700-713 (2023) - [c3]Zhihao Bao, Kun Qian, Zhonghao Zhao, Mengkai Sun, Ruolan Huang, Dewen Xu, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller:
Somatisation Disorder Detection via Speech: Introducing a Self-Supervised Learning Model. EMBC 2023: 1-4 - [c2]Zikai Song, Lixian Zhu, Yiyan Wang, Mengkai Sun, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller:
Cutting Weights of Deep Learning Models for Heart Sound Classification: Introducing a Knowledge Distillation Approach. EMBC 2023: 1-4 - [c1]Cuiping Zhu, Zhonghao Zhao, Yang Tan, Mengkai Sun, Kun Qian, Tao Jiang, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
Less is More: A Novel Feature Extraction Method for Heart Sound Classification via Fractal Transformation. EMBC 2023: 1-4
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last updated on 2024-11-07 21:34 CET by the dblp team
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