Hao-Chun Yang
Skills
Timeline
Professional experience for Hao-Chun Yang
- Current 2 years and 5 months, since Mar 2023
Postdoctoral Researcher, Machine Learning
University of Tübingen
• Conducted research on Unsupervised 3D Representation Learning for robust Anomaly Detection in Medical Imaging. • Improved psychosis detection by 6.7% AUROC through Self-Supervised Masked Mesh Vision Transformer. • Investigated Vision and Language Foundation Model fine-tuning for a large-scale disease detection system.
- 1 year, Jan 2021 - Dec 2021
Machine Learning Scientist
Inventec AI Center
• Led the development of End-to-End Heart Disease Anomaly Detection system with Time-Series Multi-Lead ECG. • Proposed Mixed-Domain Self-Attention Resnet (MDARsn) to handle missing data and outlier ECG for robust Multi-Label Detection. • Received the Best Challenge Poster award in the PhysioNet/CinC Challenge 2021 and secured a US patent (US20230153575A1).
- 2 years, Jan 2020 - Dec 2021
Senior Machine Learning Scientist
C-Media Electronics, Inc.
• (CMedia is one of the top three audio chip suppliers in the world) • Led a team of 5 developing a Real-Time Fully-Convolutional Speech De-reverberation engine, achieving an SRMR score of 4.774. • Oversaw the entire R&D pipeline: Data Collection/Synthesis, Model/Metric Design, Error Analysis, and Model Compression.
Educational background for Hao-Chun Yang
- 5 years and 8 months, Sep 2016 - Apr 2022
Electrical Engineering
National Tsing Hua University
- 3 years and 11 months, Sep 2012 - Jul 2016
Electrical Engineering
National Tsing Hua University
Languages
English
Fluent
Chinese
First language
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