Scholar
Yubei Chen
Google Scholar ID: WeyLqFUAAAAJ
UC Davis | Aizip.ai
Citations & Impact
Citations
1,581
H-index
18
i10-index
23
Publications
20
Co-authors
16
list available
Publications
Resume (English only)
Academic Achievements
- Multiple papers accepted at IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), International Conference on Learning Representations (ICLR), IEEE International Conference on Communications (ICC), Workshop on Scientific Methods for Understanding Deep Learning (SciForDL) at NeurIPS, IEEE Journal of Solid-State Circuits (JSSC), European Conference on Computer Vision (ECCV), International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Conference on Parsimony and Learning (CPAL), Transactions on Machine Learning Research (TMLR).
Research Experience
- Assistant Professor at the Electrical and Computer Engineering Department, University of California, Davis; Postdoc study with Prof. Yann LeCun at NYU Center for Data Science (CDS) and Meta Fundamental AI Research (FAIR).
Education
- Ph.D.: Redwood Center for Theoretical Neuroscience and Berkeley AI Research (BAIR), UC Berkeley, advised by Prof. Bruno Olshausen; Undergraduate: Tsinghua University, Beijing.
Background
- Research Interests: Unsupervised learning, generative models, world models. Professional Field: At the intersection of computational neuroscience and deep unsupervised (self-supervised) learning, enhancing understanding of the computational principles governing unsupervised representation learning in both brains and machines.
Miscellany
- Co-founded Aizip Inc., which builds the world's smallest and most efficient AI models.
