Trustworthy AI Lab

The Trustworthy AI Lab at UCLA envisions AI 2.0 as being driven by trustworthiness, surpassing mere performance, and being built upon generative data, enhancing raw data. Our lab develops data-centric tools, such as artificially generated tables, which enable privacy-preserving data sharing, with applications in digital marketing, finance, and healthcare sectors. On the theoretical front, the lab focuses on the emerging field of "Generative Data Science," which elucidates the underlying principles behind generative AI.

Data is the new oil in the 21st century. Our lab aims to generate clean and renewable oils via data synthesis.

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.

Oversea Visiting Students

Please check out the UC Education Abroad Program for visiting reciprocity students from over 100 partner institutions (e.g., Tsinghua Univ, Peking Univ and Fudan Univ in China) in approximately 30 countries. If you are interested in visiting us, kindly send your CV and visiting period 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

Please see research page for details.

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