Trustworthy AI Lab
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Trustworthy AI lab at UCLA envisions AI 2.0 as being driven by trustworthiness (beyond performance), and being built upon generative data (on top of raw data). Our lab drives advancements in Generative Data for marketing, healthcare and finance sectors. We develop data-centric tools, such as artificially generated tables and conversations, which enables privacy-preserving data sharing and reliable scenario exploration.
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Data is the new oil in the 21st century. Our lab aims to generate clean and renewable oils via data synthesis.
Generative AI for Healthcare Workshop on April 19, 2024 in the Luskin Hotel, UCLA. Free to Register!
Master/PhD/Postdoc Recruiting
Our lab is currently seeking Master, PhD, and Postdoctoral researchers who possess a strong passion for Trustworthy AI, Generative Data Science, and Deep Learning Theory. For more information, please refer to our research page. If you are interested in joining us, kindly send your CV to guangcheng@ucla.edu.For Postdoc applicants, you can also apply via President Postdoc Fellowship Program or UCLA Chancellor Postdoc Fellowship Program.
Summer Undergrad Intern
We welcome undergraduate students majoring in statistics, computer science, or mathematics to apply for our summer internship program. Our past summer interns have gone on to attend top graduate schools, such as Berkeley and Princeton. Here are some sample publications, e.g., Generative Data Theory in ICLR and Tensor Graphical Model in IEEE-PAMI, that were completed by our past summer interns. If you're interested in joining us, please send your transcript and CV to guangcheng@ucla.edu.Research Themes
- Generative Data Science
- Trustworthy Synthetic Data
- Generative Model
- Machine/Deep Learning Algorithm & Theory
- Trustworthy Machine/Deep Learning
- Statistical Machine/Deep Learning
- Statistical Foundations of Data Science
- High Dimensional Statistics
- Mathematical Statistics
- Bussiness Intelligence