Presented By O'Reilly and Cloudera
Make Data Work
March 28–29, 2016: Training
March 29–31, 2016: Conference
San Jose, CA
Caiming Xiong

Caiming Xiong
Senior Researcher, Metamind

Caiming Xiong is a senior researcher at Metamind. Before that, he was a postdoctoral researcher in the Department of Statistics at the University of California, Los Angeles. Caiming holds a PhD in computer science and engineering from SUNY Buffalo and a BS and MS from Huazhong University of Science and Technology. His research interests include deep learning, computer vision, and human-robot interaction.


12:00pm–12:30pm Tuesday, 03/29/2016
Hardcore Data Science
Location: 210 C/G
Stephen Merity (Salesforce Research), Caiming Xiong (Metamind)
Average rating: ****.
(4.15, 13 ratings)
Stephen Merity, Richard Socher, and Caiming Xiong discuss their recent work on extending the dynamic memory network (DMN) to question answering in both the textual and visual domains and explore how memory networks and attention mechanisms can allow for better interpretability of deep learning models. Read more.