Sep 9–12, 2019
Huaixiu Zheng

Huaixiu Zheng
Data Scientist II, Applied Machine Learning, Uber

Huaixiu Zheng is a data scientist at Uber, where he’s a major contributor to several ongoing efforts using deep learning-based NLP, ML, and AI technologies to empower intelligent business operations. Huaixiu has made significant contributions in the fields of quantum waveguide QED, quantum phase transition in dissipative environments, and photonic quantum computation. Previously, he was a postdoctoral researcher at Yale University, where he worked on quantum error corrections and topological quantum computation. He’s published more than 25 journal and conference papers in prestigious journals such as Nature, Nature Physics, and Physical Review Letters and has more than 1,000 citations. He received prestigious academic and industrial awards, including the Chinese Government Award for Outstanding Self-Financed Students Abroad, the John T. Chambers Scholarship, a second-place award from the SPIE-AAPM-NCI Prostate MR Classification Challenge, a second-place award for the SPIE-AAPM-NCI Prostate MR Gleason Grade Group Challenge, and the second prize (as part of team Future Lifecare) of the 8th Intelligent System Summit & TEEC Cup Startup Contest. He holds a PhD in quantum physics and quantum computation from Duke University.

Sessions

11:05am11:45am Wednesday, September 11, 2019
Location: Expo Hall 3
Huaixiu Zheng (Uber)
Uber applies natural language processing (NLP) and conversational AI in a number of business domains. Huaixiu Zheng details how Uber applies deep learning in the domain of NLP and conversational AI. You'll learn how Uber implements AI solutions in a real-world environment, as well as cutting-edge research in end-to-end dialogue systems. Read more.

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