Yan Zheng

School of Computing
University of Utah
Merrill Engineering Building(MEB) Room 3190
50 South Central Campus Drive
Salt Lake City, Utah 84112

Email: yanzheng AT cs.utah.edu


I am a research scientist in Visa Research. I successfully defended my thesis Algorithms and Coresets for Large Scale Kernel Smoothing on 20 April 2017 at the School of Computing at the University of Utah. I graduated with Ph.D. degree in Computing: Data Management & Analysis Track at the School of Computing of the University of Utah. I was a member of the Data Group at Utah. I was working with Dr. Jeff Phillips.
Before PhD study, I was working as Research Associate in MesoWest Group of Atmospheric Sciences Department of University of Utah with Dr. John Horel managing and visualizing large weather data from more than 30,000 stations.
I got my Master Degree in Computing: Graphics and Visualization in University of Utah and Bachelor Degree of Computer Science in Nankai University, China

Research Interests

Algorithms and applications for large scale data analytics: Data Mining, Databases, Machine Learning, Computational Geometry and Computational Topology.

My current researches focus on Large Scale Kernel Smoothing.


PDFCoresets for Kernel Regression. (to appear) (Project Website)
Yan Zheng and Jeff M. Phillips.
ACM Conference on Knowledge Discovery and Data Mining (KDD). August 2017.
full version: arXiv:1702.03644. February 2017.
PDFSubsampling in Smooth Range Space. (Talk)
Yan Zheng and Jeff M. Phillips.
Algorithmic Learning Theory (ALT). October 2015.
short version appeared in Computational Geometry : Young Researchers Forum. June 2015.
PDFL_infity Error and Bandwidth Selection for Kernel Density Estimates of Large Data. (Project Website) (Talk), (Poster)
Yan Zheng and Jeff M. Phillips.
ACM Conference on Knowledge Discovery and Data Mining (KDD). August 2015.
PDFGeometric Inference on Kernel Density Estimates.
Jeff M. Phillips, Bei Wang, and Yan Zheng
International Symposium on Computational Geometry (SOCG). June 2015.
full version: arXiv:1307.7760. March 2015.
PDFQuality and Efficiency in Kernel Density Estimates for Large Data. (Project Website), (Talk), (Poster)
Yan Zheng, Jeffrey Jestes, Jeff M. Phillips, Feifei Li
In Proceedings of 32nd ACM SIGMOD International Conference on Management of Data (SIGMOD 2013), pages TBA, NYC, NY, June 2013.
PDF Research on offline palmprint image enhancement.
Yan Zheng, Guangshun Shi, Lin Zhang, Qinren Wang, Yajing Zhao
Image Processing, 2007. ICIP 2007.
PDF Data Extraction from Deep Web Pages.
Jufeng Yang, Guangshun Shi, Yan Zheng, Qinren Wang
Computational Intelligence and Security, 2007 International Conference on.