Dr. Yunkai Zhou received his B.S. degree from Tsinghua University, and M.S., and Ph.D. degrees from Drexel University, all in Electrical Engineering. His doctorate research focused on resource allocation in computer networks, especially on fairness in allocating multiple types of resources, such as CPU, memory, and bandwidth.
Currently he is employed by Google Pittsburgh, leading an effort in detecting bad ads and keeping Google ads safe for Internet users. Prior to joining Google, he worked in Microsoft, helping build a large-scale payment and billing platform.
Dr. Zhou has authored or co-authored numerous papers and patents, in various research areas including computer networking and machine learning. He was one of the recipients for KDD 2011 Best Paper Award.
“Detecting Adversarial Advertisements in the Wild”, D. Sculley, Matthew Eric Otey, Michael Pohl, Bridget Spitznagel, John Hainsworth, Yunkai Zhou, Proceedings of the 17th ACM SIGKDD International Conference on Data Mining and Knowledge Discovery, 2011.
[abstract] [eecs.tufts.edu] [pdf] [search]
“On achieving fairness in the joint allocation of processing and bandwidth resources: principles and algorithms”, Yunkai Zhou, Harish Sethu, IEEE/ACM Trans. Netw., vol. 13 (2005), pp. 1054-1067.
[doi.acm.org] [search]
“Toward end-to-end fairness: a framework for the allocation of multiple prioritized resources in switches and routers”, Yunkai Zhou, Harish Sethu, Computer Communications, vol. 28 (2005), pp. 2105-2118.
[doi] [search]
“On Achieving Fairness in the Joint Allocation of Processing and Bandwidth Resources”, Yunkai Zhou, Harish Sethu, IWQoS, 2003, pp. 97-114.
[link.springer.de] [search]