October 28–31, 2019
Da-Cheng Juan
Senior Software Engineer, Google Research
Da-Cheng Juan is a senior software engineer at Google Research, exploring graph-based machine learning, deep learning, and their real-world applications. Da-Cheng was the recipient of the 2012 Intel PhD Fellowship. His current research interests span across semi-supervised learning, convex optimization, and large-scale deep learning. He received his PhD from the Department of Electrical and Computer Engineering and his master’s degree from the Machine Learning Department, both at Carnegie Mellon University. Da-Cheng has published more than 30 research papers in the related fields; in addition to research, he also enjoys algorithmic programming and has won several awards in major programming contests.
Sessions
4:10pm–4:50pm Thursday, October 31, 2019
Location: Great American Ballroom J/K
Da-Cheng Juan (Google Research),
Sujith Ravi (Google AI)
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Da-Cheng Juan and Sujith Ravi explain neural structured learning (NSL), an easy-to-use TensorFlow framework that both novice and advanced developers can use for training neural networks with structured signals.
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