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6月30日学术报告(Xiangyu Zhang,Purdue University:Handling Instabili
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发布时间：2015-09-02 14:24
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报告题目：Handling Instability in Data Processing Through Runtime Program Analysis
报告日期及时间：2015年6月30日下午3:30
报告地点：计算机学院B403
报告人：Xiangyu Zhang
报告人单位：Purdue University, USA
报告人简介：Xiangyu Zhang is an associate professor at Purdue University. He received his PhD degree in the University of Arizona in 2006.
His research interest lies in dynamic and static program analysis and their applications in debugging, forensic analysis, and data
processing. He is currently the Purdue University Scholar. He has received the 2006 ACM SIGPLAN Distinguished Doctoral
Dissertation Award, NSF Career Award, and a few best paper awards in top conferences.
报告摘要:
Errors pose a serious threat to output validity for modern data processing, which is often performed by programs.Raw inputs are
acquired by physical instruments that have precision limitations, leading to input errors. Parameters in data processing may be
provided by human experts based on their experience, leading to uncertainty. Data may not be precisely represented due to the
limited precision of the machine used, leading to representation errors. Once these errors get into computation, they may get
propagated and magnified, producing unreliable output. This is called the instability problem. Instability problems have substantial
impact in many areas such as scientific data processing, financial decision making, and machine learning. In this talk, I will
present our recent findings in addressing instability problems through runtime techniques.
邀请人：徐宝文教授
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