Fang received her Ph.D. degree from the EECS Department at University of California at Berkeley. She received her M.S. degree in Computer Science from UC Berkeley in 2002, and her B.S. degree in Computer Science from Fudan University , China in 2000. Her research interests center on large scale networking systems, with a focus on developing algorithms for better classification of network traffic to filter malicious traffic such as worms. Currently, Fang is working on the S-GPS project, focusing on detecting spammers using network level information, and the PSAT project, aiming to speedup the SAT solver through FPGA. Yinglian Xie, Fang Yu, Kannan Achan, Eliot
Gillum, Moises Goldszmidt, and Ted Wobber Designing an Efficient Hardware Implication Accelerator for SAT Solving John D. Davis, Zhangxi Tan, Fang Yu, and Lintao Zhang
A Practical Reconfigurable Hardware Accelerator for Boolean Satisfiability Solvers John D. Davis, Zhangxi Tan, Fang Yu, and Lintao Zhang
Spamming Botnets: Signatures and Characteristics Yinglian Xie, Fang Yu, Kannan Achan, Rina Panigrahy, Geoff Hulten, and Ivan Osipkov
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