Henry Zeng

Henry Zeng
Principal Program Manager on AI, Microsoft

Henry Zeng is a principal program manager on the AI platform team at Microsoft, where he works with the engineering team, partners, and customers to ensure AzureML is the best ML platform in the cloud. He’s been in the AI and data area for more than 14 years in areas such as database, big data, machine learning, and deep learning. Previously, he was the lead AI solution architect at Microsoft China, where he worked with partners and customers to land AI solutions in manufactory, retail, finance, education, and public service. Henry holds an MS in computer science from Wuhan University.


09:0012:30 Wednesday, June 19, 2019
中英文讲话(Presented in Chinese and English)
Location: 报告厅(Auditorium)
Yijing Chen (Microsoft), Dmitry Pechyoni (Microsoft), Angus Taylor (Microsoft), Vanja Paunic (Microsoft), Henry Zeng (Microsoft)
Average rating: *****
(5.00, 2 ratings)
Almost every business today uses forecasting to make better decisions and allocate its resources more effectively. Deep learning has achieved a lot of success in computer vision, text, and speech processing but has only recently been applied to time series forecasting. Join in to learn how and when to apply deep neural networks to time series forecasting. (presented in Chinese and English) 了解更多信息.
13:3017:00 Wednesday, June 19, 2019
Henry Zeng (Microsoft), Lu Zhang (Microsoft), xiao zhang (Microsoft)
Average rating: ****.
(4.00, 3 ratings)
Intelligent experiences powered by AI seem like magic, but developing them is cumbersome, involving a series of time consuming sequential and interconnected decisions along the way. What if you had an automated service that could identify the best machine learning pipelines for your given problem or data? Lu Zhang, Henry Zeng, and Xiao Zhang detail how automated machine learning does that. 了解更多信息.
13:1013:50 Thursday, June 20, 2019
Henry Zeng (Microsoft), Klein Hu (Microsoft), Emma Ning (Microsoft)
An open and interoperable ecosystem enables you to choose the framework that's right for you, train at scale, and deploy to cloud and edge. ONNX provides a common format supported by many popular frameworks and hardware accelerators. Henry Zeng, Klein Hu, and Emma Ning introduce you to ONNX and its core concepts. (Presented in English and Chinese.) 了解更多信息.