Cyclic Generative Adversarial Networks for Probability Density Estimation – Academic Salon by Tsinghua University & Meituan Digital Life

The Tsinghua University–Meituan Digital Life Joint Research Institute is hosting an academic salon, initiated and organized by the institute. Since March 2022, the salon regularly invites experts from academia and industry to share frontier technologies and industrial practice across multiple technical fields, aiming to promote industry‑academia collaboration and technological innovation.

Topic and Speaker

Topic Introduction

Twenty years ago, renowned statistician Leo Breiman argued that solving data‑driven problems should not be constrained by a specific data model but should employ the most effective means. With the rapid development of deep learning, powerful tools are now available for data‑driven research. However, it remains unclear whether various neural‑network algorithms can address core statistical problems, and there is a lack of typical examples that integrate statistical models with machine learning to solve real‑world issues. This talk presents a cyclic generative adversarial network for probability density estimation, illustrating how the organic integration of statistical models and deep learning can not only tackle fundamental statistical challenges but also promote the application of machine learning in many domains, achieving a win‑win for statistics and AI.

Speaker Biography

Jiang Rui, Associate Professor (Long‑term appointment) in the Department of Automation, Tsinghua University. His research interests include artificial intelligence, statistical inference, intelligent health, and bioinformatics. He earned his Ph.D. from Tsinghua in 2002, conducted post‑doctoral work at Hong Kong University of Science and Technology and the University of Southern California, and has been teaching at Tsinghua since 2007. He has published over 80 papers in top journals such as Nature Machine Intelligence, Nature Communications, and Proceedings of the National Academy of Sciences, and serves as a reviewer for several Nature sub‑journals. He is currently Deputy Director of the Intelligent Health and Bioinformatics Committee of the Chinese Association of Automation.

Schedule Details

Time: March 30 (Wednesday) 10:00‑11:30

Platform: Tencent Meeting (Meeting ID: 199 144 320 )

Notes

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2. If the group reaches its capacity, add WeChat ID “MTtech04” and send the keyword “0330” to join.

3. Please download the Tencent Meeting app in advance and use the meeting ID 199 144 320 to enter the reservation room.