Tony Wu

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Cloud computing has become increasingly popular. Many options of cloud deployments are available. Testing cloud performance would enable us to choose a cloud deployment based on the requirements. In this paper, we present an innovative process, implemented in software, to allow us to assess the quality of the cloud performance data. The process combines(More)
We present and evaluate a large-scale malware detection system integrating machine learning with expert reviewers, treating reviewers as a limited labeling resource. We demonstrate that even in small numbers, reviewers can vastly improve the system's ability to keep pace with evolving threats. We conduct our evaluation on a sample of VirusTotal submissions(More)
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Abstract—Explosive growth in the number of passwords for web based applications and encryption keys for outsourced data storage well exceeds the management limit of users. Therefore outsourcing keys(More)
  • Salik Syed, Nikil Viswanathan, Tony Wu
  • 2010
Our project examines the implicit interactions of the corporate ecosystem constructed with data gathered from stock prices across the last decade. The correlation of stock price residuals is used to construct a corporate information network. We found that residual of stock price among each company's tradable security in the S&P 500 followed a roughly normal(More)
NIRS is a non-invasive spectroscopic method for measuring oxygenated and deoxygenated hemoglobin concentrations in cortical regions of the brain. In this report we investigate the use of machine learning techniques to train a model for online classification of a specific motor activ ity-finger tapping-using NIRS data. Thus, NIRS measurements of blood flow(More)