Wei‐Lun Chao

Wei-Lun Chao's research focuses on computer vision and machine learning, especially methods that let computer systems learn from limited or unlabeled data and adapt to new environments, such as self-driving car perception. Recent work also touches on 3D scene reconstruction techniques (Gaussian splatting), uncertainty estimation, and combining vision with language models for planning tasks. The work often uses driving and robotics scenarios as testbeds for these general machine learning ideas.

Publication output grew steadily from 2017 through a peak around 2023, and has since leveled off at a high but roughly stable rate over the past few years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026