Yaoqing Yang

Yaoqing Yang is a PI at ICSI and an incoming Assistant Professor at Dartmouth College. He recently finished his postdoctoral studies at the RISE Lab at UC Berkeley. He received his PhD from Carnegie Mellon University and B.S. from Tsinghua University, China. He studies the fundamental aspects of machine learning, and his main contributions are towards improving reliability and generalization in the face of uncertainty, both in the data and the computing platform. His recent works focus on generalization and robustness of deep neural networks, and he also applies these studies to practical data analytics, such as 3D point clouds and graph neural networks. Yaoqing's works have won the best paper finalist at ICDCS and have been published multiple times in NeurIPS, CVPR and IEEE Transactions on Information Theory. He has worked as a research intern at Microsoft, MERL and Bell Labs, and two of his joint CVPR papers with MERL have both received more than 400 citations. He is also the recipient of the 2015 John and Claire Bertucci Fellowship.