Hi! I’m Oscar, a machine learning algorithm engineer at Google. I specialize in vision + X multimodal learning and efficient Gen-AI.
My track record includes working with industry leaders like Google, Intel, and TSMC. I also have published research papers in top-tier conferences such as ECCV. I am always seeking opportunities to translate cutting-edge technology into significant value.
M.S. in Computer Science, 2024
National Taiwan University
B.S. in Computer Science, 2022
National Chiao Tung University
Efficient LLM for Taiwan with open weights, datasets, and checkpoints and affordable sizes (270M/1.1B).
The TAIDE project developed a trustworthy LLM tailored for Taiwanese culture. Outperforming GPT3.5-Turbo on 14 task evaluations.
The bot inserts emojis in the given paragraph using trained language model.
Proposed dataset and system to detect misinformation and AI-generated contents in text, video, and audio.
Combined attention and U-Net for long-tail point cloud semantic segmentation. Voted 1st place in the Challenge for best novelty and poster presentation.
Digital twin and AI for HVAC control. The research won the Gold Award of the Intelligent Living Space Design Competition in 2022 for its effectiveness, efficiency and novelty.