Hi, I’m Chad and I’m pursuing my Ph.D. in Electrical Engineering. I study human emotions/personalities through behavioral signals like Physiologies(ECG/EDA), Speech, and Visual Cues (facial expression, gait).
I’m also the Research Lead of Health Informatics team, conducting Alzeiheimer Study using MRI and Heart Disease Detection using ECG.
I also worked as a Machine Learning Engineer Lead in CMedia, leading the development of Speech Dereverberation/Denoise.
|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 )|
|Jan 24, 2020||2 paper accepted in ICASSP’20 (Ola!).|
- 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