Yufan Zhuang

Hey, I’m Yufan Zhuang (庄宇凡)!

I am a PhD student in UCSD’s Computer Science & Engineering department advised by Jingbo Shang. My research is centered on natural language processing and large language models.

I have proposed ways to in-context learn from any modality (Vector-ICL), conducted studies on cross-lingual data contamination for contemporary LLMs, made transformers effective meta algorithm learners for decision trees (MetaTree).

I’ve also trained first series of high quality Mamba-based vision language models (ViperVLMs), extending LLMs context length with adaptive wavelet transform (WavSpa), and a series of work on computational sociology research.

Prior to my PhD study, I worked at IBM T. J. Watson Research Center as a research engineer helping to enhance software engineering with the power of AI and vice versa. I received my MS in Data Science from Columbia, my BSc in Applied Math Minor in CS (with First Class Honors) from Hong Kong Polytechnic University.