AutoDL: Automated Neural Network Architecture Search for Open & Inclusive AI

Date and time: 
Thursday, November 29, 2018 - 15:30
Location: 
220 Deschutes
Author(s):
Prof. Jun (Luke) Huan
Baidu Research
Host/Committee: 
  • Dejing Dou

AI is delivering significant impact to human society. In areas such as game playing, image classification, and speech recognition, AI algorithms may have already surpassed human experts' capability. We are observing transformations AI produces to industry sectors such as social media, finance, and transportation. My talk covers two parts: (1) an overview of Baidu Brain and (2) a brief introduction to a new initiative called Open & Inclusive AI at Baidu where we use deep learning to design deep learning networks.   

Biography

Dr. Jun (Luke) Huan directs the Baidu Big Data Lab. Before that he was the Charles and Mary Jane Spahr Professor in the Department of Electrical Engineering and Computer Science at the University of Kansas. Dr. Huan works on Data Science, AI, Machine Learning and Data Mining. Dr. Huan's research is recognized internationally. He has published more than 130 peer-reviewed papers in leading conferences and journals and has graduated ten Ph.D. students. He was a recipient of the US National Science Foundation Faculty Early Career Development Award in 2009. His group won several best paper awards from leading international conferences. Dr. Huan service record includes Program Co-Chair of IEEE BIBM in 2015 and Program Co-Chair for IEEE ICDM in 2020.

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