Mingyuan Wu is a PhD candidate in Computer Science at the University of Illinois Urbana-Champaign, with a strong background in machine vision and language models. Recent experience includes an internship at PE/VC as a PhD Research Intern, collaborating with researchers from Tsinghua, ETH, and Princeton on LLM research. Previous internships include roles at Intel, where Mingyuan focused on lightweight object detection for surveillance, and at Meta, working on Vision Language Model and Large Language Model applications for AI. Additional experience includes a research internship at Adobe, mentored by Dr. Zichuan Liu. Educational credentials encompass a Bachelor of Science degree in Mathematics and Computer Science from the University of Illinois Urbana-Champaign and a Master’s degree in Electrical and Computer Engineering from Shanghai Jiao Tong University. Mingyuan's academic excellence is highlighted by a GPA of 3.94/4.0.
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