Built env. talk series: Dr. Tianbao Yang

Representation Learning for Generative AI
Dr. Tianbao Yang Associate Professor Computer Science & Engineering Texas A&M University

Dr. Tianbao Yang is an Associate Professor at CSE department of Texas A&M University, where he directs the lab of Optimization for Machine learning and AI (OptMAI Lab). His research interests centers around optimization, big data, machine learning and responsible AI. Before joining TAMU, he was an assistant professor and then tenured associate professor at the Computer Science Department of the University of Iowa from 2014 to 2022. he received my Ph.D. degree in Computer Science from Michigan State University in 2012, and received his Bachelor degree from University of Science and Technology of China in 2007. He worked in Silicon Valley as Machine Learning Researcher for two years at GE Resarch and NEC Labs. He received the Best Student Paper Award of COLT in 2012, and the NSF Career Award in 2019. He is the founder of the LibAUC library. He is also the first to propose “local updates” and “model averaging” for distributed optimization in his NIPS paper in 2013, which have become the foundation of a new learning paradigm known as Federated Learning.

Date: Friday, April 28, 2023 Time: 10 am-11am

Zoom Meeting ID: 732 641 0814 Passcode: 575829

Faculty host: Dr. Xinyue Ye, Landscape Architecture and Urban Planning/ Geography/Multidisciplinary Engineering at Texas A&M University