Scholar
Jinjie Zhang
Google Scholar ID: YCR4koUAAAAJ
Amazon
Citations & Impact
Citations
111
H-index
5
i10-index
2
Publications
12
Co-authors
9
list available
Publications
Resume (English only)
Research Experience
- Applied Scientist at Amazon, working on content moderation for large vision-language models (LVLMs) in Alexa AI. Previously, Senior AI/ML Engineer and Researcher at GSK AI.
Education
- Ph.D. in Applied Mathematics from University of California San Diego (UCSD) in 2023, advisors: Rayan Saab and Alexander Cloninger; M.S. in Statistics from the University of Chicago in 2018, advisor: Lek-Heng Lim; B.S. in Information and Computation Science from Beijing Jiaotong University (a.k.a. Northern Jiaotong University) in 2016.
Background
- Research interests include compression and acceleration of deep neural networks (using quantization, pruning, and knowledge distillation), contrastive representation learning, multimodal generative models, and graph signal processing. Broadly interested in the mathematical foundations of machine learning and deep learning, particularly in understanding their expressivity, learnability, and generalizability.
