Biography
Minghui Chen is a PhD student at the University of British Columbia (advisors: Prof. Xiaoxiao Li and Prof. Zehua Wang). He is a member of the TEA Lab (Trusted and Efficient AI Lab) and the BlockChain@UBC Research Cluster. His research interests are federated learning, trustworthy deep learning, deep phenomena, and blockchain.
Interests
- Trustworthy Deep Learning
- Federated Learning
- AI Alignment
- AI for Healthcare
Education
MSc in Computer Science
Southern University of Science and Technology
BSc in Software Engineering
Sun Yat-sen University
Publications
(2023).
FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation.
In MICCAI 2023.
(2022).
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization.
In AAAI 2022.
(2021).
Benchmarks for Corruption Invariant Person Re-Identification.
In NeurIPS 2021.
Experience
Research Intern
Medical image analysis.
Algorithm Intern
Tencent
Data mining.
Academic Service
Journal Reviewer
Conference Reviewer
Teaching
Teaching Assistant
Teaching Assistant