Xue Chao (薛超) is a staff research member of IBM Research China. He joined in IBM Research in 2011 when he got the master degree in Beijing University of Posts and Telecommunications. During his serval years in IBM Research, his research domain is machine learning technology. His major is information engineering, and from 2011-2014 he mainly focused on mechine learning on big-data, he implemented the cluster spark cloud service and interactive spark develop environment on Power8 and OpenStack; And from 2014 until now, he mainly focuses on the AutoML (automated machine learning), which is the optimization of AI applications from hyper-parameter tuning to neural network selection. He implemented the end to end system to construct neural network automatically within Reinforcement learning and Bayesian optimization framework for different AI domains, such as computer vision, IoT acoustics, NLP and finance, etc. He has ever taught big-data and AI courses at University of Chinese Academy of Sciences, Beijing Normal University, Fudan university and Zhongshan university.
His paper about AutoML is accepted by The Conference on Computer Vision and Pattern Recognition (CVPR) 2019, which is the top-tier conference on computer vision and pattern recognition.
And at the top conference of Computer Science, PACT (The International Conference on Parallel Architecture and Compilation Techniques) 2016, he presented their accepted paper about big-data and machine learning at Haifa, Israel.
He has filed more than 20 patents.