Resume
Academic Achievements
- Contributed to the Grounded-Segment-Anything project, which combines Grounding DINO with Segment Anything, Stable Diffusion, and Recognize Anything for automatic detection, segmentation, and generation of anything.
Research Experience
- Currently working at IDEA AI4Science; also a member of EmoCareAI and IDEA Research.
Education
- Hong Kong University of Science and Technology (HKUST)
Background
- Research interests include Large Language Models (LLMs), benchmarking, generative vision models, and more.
Miscellany
- Enjoys quoting Japanese haiku, such as works by Matsuo Basho; still learning coding.