Hao-Chun Yang

Bis 2021, Machine Learning Scientist, Inventec AI Center
Leipzig, Germany

Skills

MatLab
Python
Forschung und Entwicklung
Maschinelles Lernen
Datenanalyse
C/C++
Engineering
Technology
SQL
Analytics
Data Science
Artificial intelligence
Computer Science
Deep learning
Cloud Computing
PyTorch
Git
CI/CD
pytest
PySpark
CUDA
Docker
AWS
GCP
Apache Airflow
ONNX
scikit-learn
XGBoost
OpenCV
NumPy
Python pandas
Matplotlib

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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