Chad Yang

PhD Graduate from BIICLab advised by Prof. Chi-Chun,Lee.

Hey, thanks for stopping by! 👋
I’m a PhD graduate from National Tsing Hua University, Taiwan.
My interests lie broadly at the intersection of machine learning and human mental statuses like emotions/personalities through Physiologies (ECG/EDA), Speech, and Visual Cues (facial expression, gait).

Besides, I’m the Research Lead of Health Informatics group, conducting Alzheimer’s Study using MRI and Heart Disease Detection using ECG.
During my PhD studies, I had also spent time at CMedia Electronics worked as a Senior Machine Learning Engineer, leading the development of Real-time Speech Dereverberation/Denoise.


Apr 7, 2022 👨‍🎓 Survived from thesis defense "Physiological-based Affective Computing using Personality Invariant Learning"
Sep 5, 2021 🎉 Best Challenge Poster in 2021 PhysioNet/CinC Challenge (with InventecAI, preprint).
Jul 16, 2021 1 paper accepted for robust Federated Learning in Multi-Site Alzheimer in EMBC 2021.
Mar 5, 2021 1 journal accepted in IEEE Transactions on Affective Computing. (IF:10.5 :fire:)
Jul 25, 2020 1 paper accepted in ACMMM’20 ! (27.9% accept rate :rocket:)

Selected publications

  1. A Media-Guided Attentive Graphical Network for Personality Recognition Using Physiology
    *Hao-Chun,Yang, and Chi-Chun,Lee
    IEEE Transactions on Affective Computing 2021
  2. A Mixed-Domain Self-Attention Network for Multilabel Cardiac Irregularity Classification Using Reduced-Lead Electrocardiogram
    *Hao-Chun,YangWan-Ting,Hsieh, and Pei-Chun,Chen
    In Computing in Cardiology, CinC 2020, Brno, Czech Republic, September 12-15 2021
  3. EMBC
    Federated Learning via Conditioned Mutual Learning for Alzheimer Disease Classification on T1w MRI
    Ya-Lin,Huang*Hao-Chun,Yang, and Chi-Chun,Lee
    In 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2021, (Virtual), Nov 1-5, 2021 2021
  4. ACMMM
    Cross Corpus Physiological-based Emotion Recognition Using a Learnable Visual Semantic Graph Convolutional Network
    Woan-Shiuan,Chien,  *Hao-Chun,Yang, and Chi-Chun,Lee
    In MM ’20: The 28th ACM International Conference on Multimedia, ACMMM 2020, Virtual Event / Seattle, WA, USA, October 12-16, 2020 2020