My research interests are in machine learning and computer vision and their applications to autonomous driving,, artificial intelligence, health care, Imageomics, etc.
As a machine learning researcher, I love to investigate data, evaluation metrics, and algorithms together. I love to develop simple yet effective and generalizable algorithms so that we can better understand the key components and insights to solve different tasks.
Recently, I'm very interested in the following topics:
Robust perception for autonomous driving
Learning with imperfect data (e.g., limited, noisy, inaccessible, and imbalanced supervision and data)
Learning with multi-modal, multi-source, and multi-sensor data
Meta-learning, transfer learning, domain adaptation, and imbalanced learning
Federated learning
Vision and language
Healthcare and medical applications
Imageomics (ML + CV + Biology + Ecology)
More updates are coming soon!