- Guang Chengs 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
- People - University of California, Los Angeles
Postdoc, UCLA Pratik Ramprasad [Policy Evaluation in Statistical Reinforcement Learning] (PhD from 2017-2022, co-advised by Prof Wei Sun) Research scientist, Sentilink Yue Xing [Statistical Theory for Adversarial Robustness in Machine Learning] (PhD from 2018-2022, co-advised by Prof Qifan Song)
- Guang Cheng - University of California, Los Angeles
Dept of Statistics, UCLA Full Professor, 2021--Now Dept of Statistics, Purdue University Assistant Associate Full Professor, 2008 2013 2016--2021 SAMSI (Statistical and Applied Mathematical Sciences Institute) Postdoc Fellow, Aug, 2007 – July, 2008 Dept of Statistical Science, Duke University Visiting Assistant Professor, Aug, 2006 – July, 2007
- Research - University of California, Los Angeles
Chen, Wan, Cai and and Cheng (2020) Machine Learning in for Blockchain: Future and Challenges, Canadian Journal of Statistics Chao**, Wang*, Xing* and and Cheng (2020) Directional Pruning of Deep Neural Networks, NeurIPS [code can be found in Github; theory is based on this work]
- Teaching - University of California, Los Angeles
Generative AI Hackathon, Sponsored by Trustworthy AI Lab and UCLA GES, June, 2024 Generative AI for Healthcare Workshop, UCLA, April 19, 2024 2nd Workshop on Synthetic Data for AI in Finance (ICAIF 23), New York City, NY, Nov 27, 2023 Synthetic Data Workshop, Amazon Machine Learning Conference, Seattle, Oct 6, 2023
- Teaching - University of California, Los Angeles
Teaching Generative Data Science (2023-2024) Big Data Theory (2015-2018) Empirical Processes (2008-2010)
- Ying Nian Wu - University of California, Los Angeles
Q Li, S Huang, Y Hong, Y Chen, YN Wu, and SC Zhu (2020) Closed loop neural-symbolic learning via integrating neural perception, grammar parsing, and symbolic reasoning
- Active External Research Grants – Statistical Moments
Guang Cheng Project Title: Collaborative Research: Robust Deep Learning in Real Physical Space: Generalization, Scalability, and Credibility Project Period: 9 1 2022 – 8 31 2025 Prime Sponsor: DOD Office of Naval Research Award Amount to Date: $450,000
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