DiRP Trustworthy LLM

Directed Reading Program (DiRP) on trustworthy large language models.

Holistic Trustworthy ML

Instead of isolated properties, we target on a holistic trustworthiness covering every properties in one solution.

Federated Learning

On the need of data privacy and more data, we strive to join the knowledge from a fair amount of users to train powerful deep neural networks without sharing data.

Privacy in Collaborative ML

On the concern of data privacy, we aim to develop algorithms towards learning accurate models privately from data.

AI for Dementia Healthcare

We aim to early detect and intervene dementia diseases leveraging the power of (Generative) AI.

Subspace Learning

Supervised learning on subspace data which could model real data like skeleton motion.