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 )|
|Jul 25, 2020||1 paper accepted in ACMMM’20 ! (27.9% accept rate )|
- A Media-Guided Attentive Graphical Network for Personality Recognition Using PhysiologyIEEE Transactions on Affective Computing 2021
- A Mixed-Domain Self-Attention Network for Multilabel Cardiac Irregularity Classification Using Reduced-Lead ElectrocardiogramIn Computing in Cardiology, CinC 2020, Brno, Czech Republic, September 12-15 2021
- EMBCFederated Learning via Conditioned Mutual Learning for Alzheimer Disease Classification on T1w MRIIn 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2021, (Virtual), Nov 1-5, 2021 2021
- ACMMMCross Corpus Physiological-based Emotion Recognition Using a Learnable Visual Semantic Graph Convolutional NetworkIn MM ’20: The 28th ACM International Conference on Multimedia, ACMMM 2020, Virtual Event / Seattle, WA, USA, October 12-16, 2020 2020