Si Zheng

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Computational drug repositioning or repurposing is a promising and efficient tool for discovering new uses from existing drugs and holds the great potential for precision medicine in the age of big data. The explosive growth of large-scale genomic and phenotypic data, as well as data of small molecular compounds with granted regulatory approval, is enabling(More)
Synergistic interactions among transcription factors (TFs) and their cofactors collectively determine gene expression in complex biological systems. In this work, we develop a novel graphical model, called Active Protein-Gene (APG) network model, to quantify regulatory signals of transcription in complex biomolecular networks through integrating both TF(More)
The complexity, scale and dynamic of data source in the human-centric computing bring great challenges to maintainers. It is problem to be solved that how to reduce manual intervention in large scale human-centric computing, such as cloud computing resource management so that system can automatically manage according to configuration strategies. To address(More)
In extreme scale data processing systems, fault tolerance is an essential and indispensable part. Proactive fault tolerance scheme (such as the speculative execution in MapReduce framework) is introduced to dramatically improve the response time of job executions when the failure becomes a norm rather than an exception. Efficient proactive fault tolerance(More)
Misconfigurations have drawn tremendous attention for their increasing prevalence and severity, and the main causes are the complexity of configurations as well as the lack of domain knowledge for software. To diagnose misconfigurations, one typical approach is to find out the conditions that configuration options should satisfy, which we refer to as(More)
In the age of big data, MapReduce plays an important role in the extreme-scale data processing system. Among all the hot issues, the data skew weights heavily for the MapReduce system performance. In traditional approaches, researchers attempt to leave the users to address the issue which requires the user to possess the application-dependent domain(More)
Fault-tolerance is essential in extreme-scale data processing systems. Pro-active fault-tolerance scheme (such as the speculative execution in MapReduce framework), can dramatically improve the response time of job executions when the failure becomes norm rather than an exception. Efficient pro-active fault-tolerance schemes require precise knowledge on the(More)
Osmunda japonica Thunb., a medicinal plant newly recorded in the Chinese pharmacopoeia, has been used for centuries for treatment of viral influenza, dysentery, and bleeding. Although O. japonica and its adulterants have different medicinal effects and clinical applications, it is difficult to differentiate O. japonica from its adulterants used in medicine.(More)
In the paper, a new kind of adaptive neural network control approach for a class of stochastic nonlinear system which in the form of non-strict-feedback is presented. Some difficulties, which occurred in the course of designing due to the non-strict-feedback structure, is overcomed by using the variable separation approach. A new kind of adaptive neural(More)