Yubei Chen is an Assistant Professor at UC Davis and co-founder of AIZIP, bringing a decade of research and startup experience at the intersection of unsupervised learning, computational neuroscience, and generative modeling. Trained at UC Berkeley (PhD in EECS and an MA in Pure Mathematics) and mentored by leaders like Bruno Olshausen and Yann LeCun, he has pursued a unified, mathematically principled approach to factorizing the elementary structures of natural signals as a route toward human-level intelligence. His work spans academic posts and industry research at Meta FAIR and NYU, focusing on self-supervised methods that aim to build unsupervised generative models capable of “dreaming.” Practical and philosophical, he frames his research with influences from Taoism and a minimalist learning ethos, seeking simple latent elements whose complex entanglements produce rich behavior.
9 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Electrical Engineering and Computer Science, Doctor of Philosophy (Ph.D.), Electrical Engineering and Computer Science at University of California, Berkeley
Bachelor of Engineering (B.E.), Electrical and Electronics Engineering, Bachelor of Engineering (B.E.), Electrical and Electronics Engineering at Tsinghua University
Code for the arXiv preprint "Disentangling images with Lie group transformations and sparse coding" (2020).
Contributions:1 commit, 2 PRs, 2 pushes in 1 day
arxivsparselie-grouplietransformations
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