Hsu, Yan-Cheng; Li, Yung-Hui; Chang, Ching-Chun; Harfiya, Latifa N.
Sensors 20, no. 19: 5668, 2020

• Developed a deep-neural-network model for estimating blood pressure with a novel statistical feature selection method.
• Achieved cutting-edge performance satisfying both AAMI and BHS standards for blood pressure measurement devices.
• Cited by Mitsubishi Electric patent US20230063221A1 for cuffless BP estimation methodology.

🔗 Read Paper →Source Code

Latifa N.; Hsu, Yan-Cheng; Li, Y.H.; Wang, J.C.
APSIPA ASC 2023, 2023 (Oral Presentation)

• Implemented self-supervised time series transformers, securing state-of-the-art performance on diverse temporal datasets.
• Presented findings orally at the IEEE APSIPA ASC 2023 conference.

Amazon AGI et al. (including Hsu, Yan-Cheng)
Amazon Technical Report, 2024

• Contributed to the GPU infrastructure and HPC systems that enabled training of the Amazon Nova family of foundation models.
• Part of the High Performance Computing team that built Platform Leviathan for NVIDIA A100/H100 GPU management.

Mitsubishi Electric Corporation · US20230063221A1 (2023)

Cites my 2020 paper “Generalized DNN Model for Cuffless Blood Pressure Estimation” (Sensors) as prior art for the underlying methodology.