June 30th academic report (Purdue University Zhang Xiangyu: Handling Instability in Data Processing Through Runtime Program Analysis)

Topic: Handling Instability in Data Processing Through Runtime Program Analysis
Report date and time: June 30, 2015 at 3:00 
Report: Zhang Xiangyu
Speaker unit: Purdue University, USA

Zhang Xiangyu, associate professor of Purdue University. 2006 in the United States, Arizona university received a doctoral degree. The main research direction is dynamic, static program analysis, forensic analysis, data processing and other technology, and its application in the field of program debugging. We won the "Purdue scholars" program support. Have won the 2006 SIGPLAN ACM Award for excellence, Career NSF award, and a number of top conferences of the best paper award.

abstract:: 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.

Invite people: Professor Xu Baowen   Class=