Xintian Yang

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Scaling up the sparse matrix-vector multiplication kernel on modern Graphics Processing Units (GPU) has been at the heart of numerous studies in both academia and industry. In this article we present a novel non-parametric, selftunable, approach to data representation for computing this kernel, particularly targeting sparse matrices representing power-law(More)
The firehose of data generated by users on social networking and microblogging sites such as Facebook and Twitter is enormous. Real-time analytics on such data is challenging with most current efforts largely focusing on the efficient querying and retrieval of data produced recently. In this paper, we present a dynamic pattern driven approach to summarize(More)
The firehose of data generated by users on social networking and microblogging sites such as Facebook and Twitter is enormous. The data can be classified into two categories: the textual content written by the users and the topological structure of the connections among users. Real-time analytics on such data is challenging with most current efforts largely(More)
In this article we describe a visual-analytic tool for the interrogation of evolving interaction network data such as those found in social, bibliometric, WWW and biological applications. The tool we have developed incorporates common visualization paradigms such as zooming, coarsening and filtering while naturally integrating information extracted by a(More)
Murraya exotica is a traditional Chinese medicine (TCM) widely grown in southeast China. We herein proposed a fast strategy for separation and identification of active components of cancer metastatic chemopreventives from the root, leaf, twig and stem bark extracts that were obtained by reflux in 80% acidic ethanol and then liquid-liquid extraction. High(More)
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