Dr. Yaoliang Yu

Biography

Yaoliang Yu is an Associate Professor at the Cheriton School of Computer Science, University of Waterloo. He received his Ph.D. from the University of Alberta in 2013, focusing on various aspects of Machine Learning. His academic journey began with a Bachelor of Science degree from Fudan University, China, followed by a Master of Science degree from the same institution. His research interests encompass a wide array of subfields in Machine Learning, including generative modeling and representation learning, with a strong emphasis on robustness and kernel methods. Additionally, he investigates Optimization Algorithms that deal with both convex and non-convex optimization problems. His work also explores distributed and federated learning, iteration complexity bounds, and robust stochastic optimization. Yu has made numerous contributions to academic literature, which can be found through his publications and profile on Google Scholar. He is committed to advancing understanding and applications of Machine Learning in areas such as computer vision and natural language processing.

Research Interests