I was awarded the “Excellent Achievement Award” by the “2019 Zhejiang Lab Zhejiang Lab’s International Talent Fund for Young Professionals”, which was ranked as No. 1 in the group of Intelligent Sensing (totally 12 funded research projects). My research project (running time: 2019/08 to 2020/08) supported by the Zhejiang Lab was entitled “Heart sound Analysis and its Non-invasive healthcare Applications via Machine Intelligence (Project HANAMI)”.
Our paper entitled “Are You Speaking with a Mask? An Investigation on Attention based Deep Temporal Convolutional Neural Networks for Mask Detection Task” was awarded the “Best Paper Award”jointly supported by the CMST and Frontiers.
We are organising the special session entitled “Computer Audition for Healthcare (CA4H)” in the upcoming ICASSP 2021. It is the first time attract contributions specialised in the topic on CA4H at the prestigious conference.
Our recent paper entitled “Can Machine Learning Assist Locating the Excitation of Snore Sound? A Review” is accepted and published online by IEEE Journal of Biomedical and Health Informatics (IEEE J-BHI, IF-2019: 5.223). Readers who may be interested in computer audition based methods for non/less invasive methods for snore site location can refer to this paper at: https://ieeexplore.ieee.org/document/9152123/authors#authors.