Weifeng Pan
Weifeng Pan is currently an EMC design engineer at Google Inc., in Mountain View, California. He received the PhD degree in 2009 from the Electromagnetic Compatibility Lab at the Missouri University of Science and Technology. In 2008, he was an intern at IBM, Research Triangle Park, North Carolina. He worked as an RF design engineer at UTStarcom (China) from 2002 to 2005. He received BSEE degree in 1999 and MSEE degree in 2002 from Tsinghua University, in Beijing, China. His interests include electromagnetics, EMC and signal integrity.
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EMI Failure Analysis Techniques: II. Joint Time-Frequency Analysis
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IEEE EMC Society Newsletters, vol. 226 (2010), pp. 31-34
EMI Failure Analysis Techniques: III. Correlation Analysis
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IEEE EMC Society Newsletters, vol. 227 (2010), pp. 45-49
EMI Failure Analysis Techniques: I. Frequency Spectrum Analysis
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IEEE EMC Society Newsletters, vol. 223 (2009), pp. 65-70
Multi-granularity dynamic analysis of complex software networks
Measuring Structural Quality of Object-Oriented Softwares via Bug Propagation Analysis on Weighted Software Networks
Bing Li
Yutao Ma
Yeyi Qin
Xiao-Yan Zhou
J. Comput. Sci. Technol., vol. 25 (2010), pp. 1202-1213
Class structure refactoring of object-oriented softwares using community detection in dependency networks
Bing Li
Yutao Ma
Jing Liu
Yeyi Qin
Frontiers of Computer Science in China, vol. 3 (2009), pp. 396-404
A Novel Software Evolution Model Based on Software Networks
Requirements Discovery Based on RGPS Using Evolutionary Algorithm
A Novel Method for Mining SaaS Software Tag via Community Detection in Software Services Network
Automatic modeling of a novel gene expression programming based on statistical analysisand critical velocity
Kangshun Li
Wensheng Zhang 0003
Zhangxin Chen
IEEE Congress on Evolutionary Computation (2008), pp. 641-647
A sequence cipher producing method based on two-layer ranking Multi-Objective Evolutionary Algorithm
Kangshun Li
Wensheng Zhang 0003
Zhangxin Chen
IEEE Congress on Evolutionary Computation (2008), pp. 169-173
A Bionics Evolutionary Algorithm Based on Average Vector Deviation