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Cyber Security and Resilience Community
Cyber Security and Resilience Community
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Cyber Security and Resilience Technology (CyberSaR)
Roberto Di Pietro Research Group (R-Pietro)
Security Research Bearing Experimental Results (SeRBER)
Research Strategy
Interior Point Methods
Xun Qian
Postdoctoral Research Fellow,
Applied Mathematics and Computational Science
machine learning
Stochastic Methods
Interior Point Methods
algorithm
Xun Qian is a Postdoctoral Research Fellow at the Visual Computing Center (VCC), King Abdullah University of Science and Technology (KAUST), working with Professor Peter Richtárik in his research group. Education and Early Career Dr. Qian obtained his B.Sc. degree in Mathematics from Huazhong University of Science and Technology, China, in 2013. In 2017, he has obtained a Ph.D. degree in Mathematics from Hong Kong Baptist University (HKBU), Hong Kong. Research Interest Xun Qian is interested in stochastic methods and algorithms, machine learning and interior-point methods. Selected