Our research group is situated within VinUniversity’s College of Engineering and Computer Science. We specialize in the field of trustworthy AI, with a core focus on simplifying the development and deployment of machine learning models while ensuring their robustness. Our research encompasses low-complexity generative approaches, strengthening algorithmic robustness, and tackling critical challenges in machine learning and federated learning to enhance security, privacy, efficiency, and fairness.
We are looking for passionate new PhD students, Postdocs, and Master students to join the team (more info) !
October, 2024
New Project Launch: Improving NLP Applications in Low-resource Languages: One Country and One Use Case At A Time, A Cross-College Project at VinUniversity.
October, 2024
New Project: Green Serverless Computing for Resource-Efficient AI Training at the Center for Environment Intelligence, VinUniversity, Hanoi, Vietnam.
October, 2024
Our paper titled Towards Good Practice for Convolution and Attention with PANs in Federated Medical Image Classification has been accepted at Journal of Supercomputing.
September, 2024
We developed a web-based platform to track and filter research papers on Federated Learning, Trustworthy AI, Large Language Models, and Multimodal Machine Learning, sourced from IEEE Xplore, ACM, ScienceDirect, Springer, OpenReview, arXiv, DBLP, and Google Scholar.
September, 2024
Welcome to our new Research Assistant Intern, Tran Quang Thuan, who will be working on the topic of Generative Model.