Yaoqing Yang

Yaoqing Yang obtained his PhD degree from Carnegie Mellon University. Now, he is a postdoctoral researcher in RISE Lab, UC Berkeley. His primary research interest lies in studying theoretically principled approaches to address robustness issues in large-scale distributed machine learning systems, as well as designing learning algorithms on structured data such as point clouds and graphs.


Boundary thickness and robustness in learning models

Robust Class Parallelism – Error Resilient Parallel Inference with Low Communication Cost

Blog Posts

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