Lecture Series in Intelligent Perception and Computing
题 目 （TITLE）：Neural Architecture Search: The Next Generation of Machine Learning
讲 座 人 （SPEAKER）: Dr. Lingxi Xi
主 持 人 (CHAIR)：Pro. Zhaoxiang Zhang
时 间 (TIME)：10：00AM， June 24（Monday）2019
地 点 (VENUE)： 1610 Meeting Room,16 Floor, Intelligent Building
Neural Architecture Search (NAS) is an important part of Automatic Machine Learning (AutoML) and implies a wide range of applications. In this talk, I will briefly survey the short history of modern NAS, in particular, three major schools and the efforts of accelerating search. After that, I will introduce two of our recent work in achieving fast and proxy-less search. Finally, I will give some conclusion remarks and try my best to look into the future of NAS and AutoML.
Lingxi Xie is currently a senior researcher at Noah's Ark Lab, Huawei Inc. He obtained B.E. and Ph.D. in engineering, both from Tsinghua University, in 2010 and 2015, respectively. He also served as a post-doctoral researcher at the CCVL lab from 2015 to 2019, having moved from the University of California, Los Angeles to the Johns Hopkins University.Lingxi's research interests lie in computer vision, in particular the application of deep learning models. His research covers image classification, object detection, semantic segmentation and other vision tasks. He is also interested in medical image analysis, especially object segmentation in CT or MRI scans. Lingxi has published over 40 papers in top-tier international conferences and journals. In 2015, he received the outstanding Ph.D. thesis award from Tsinghua University. He is also the winner of the best paper award at ICMR 2015.