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Put AI to work
Sep 4-5, 2018: Training
Sep 5-7, 2018: Tutorials & Conference
San Francisco, CA
Huaixiu Zheng

Huaixiu Zheng
Tech Lead, Uber AI, Uber

Huaixiu Zheng is a tech lead on the conversational AI team at Uber, focusing on applications and applied research of natural language processing, deep learning, and conversational AI systems. He’s led several big initiatives at Uber in using AI technologies to empower business applications in the domains of customer support, smart-reply systems, and task-oriented conversational AI systems. He received his PhD in quantum physics and quantum computation from Duke University. He’s published 30+ papers in prestigious journals such as Nature, Nature Physics, and Physical Review Letters and conferences such as KDD.

Sessions

11:55am-12:35pm Thursday, September 6, 2018
Improving customer support with natural language processing and deep learning
Implementing AI, Interacting with AI, Models and Methods
 Location: Yosemite BC
Secondary topics:  Text, Language, and Speech
Piero Molino (Uber AI), Huaixiu Zheng (Uber), Yi-Chia Wang (Uber )
Average rating: ****.
(4.00, 1 rating)
Uber has implemented an ML and NLP system that suggests the most likely solutions to a ticket to its customer support representatives, making them faster and more accurate while providing a better user experience. Piero Molino, Huaixiu Zheng, and Yi-Chia Wang describe how Uber built the system with traditional and deep learning models and share the lessons learned along the way. Read more.