Trustworthy AI Lab

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

The Trustworthy AI Lab proudly sponsors GenAI Hackathon

Prompt release: May 29; Registration deadline: June 16. For more details, please check out the poster or visit here.

Amazon Postdoc Hiring

Amazon is looking for talented Postdoctoral Scientists to join the Stores Foundational AI team for a one-year, full-time research position. Here is a general intro to the Amazon Postdoc Program. Below are more specific requirements. Please reach out to me with CV if you are interested.

The Stores Foundational AI team builds foundation models for multiple Amazon entities, such as ASIN, customer, seller and brand. These foundation models are used in downstream applications by various partner teams in Stores. The team also invests in building foundation models for image generation such as for products. The Postdoc is expected to conduct research and build state-of-the-art algorithms in video understanding and representation learning in the era of LLMs. The responsibilities includ (i) design efficient algorithms to learn accurate representations for videos; (ii) build extensive video understanding capabilities including various content classification tasks; (iii) improve the quality of the foundation models along the following dimensions: robustness, interpretability, fairness, sustainability, and privacy.

The Postdoc also has opportunities to work with Amazon scholars such as Mubarak Shah, Rene Vidal, Sujay Sanghavi, Larry Davis and/or me :)

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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