Professor Xingye Qiao’s main research interest focuses on statistical machine learning, a rapidly growing area of research. Many techniques in statistical machine learning have become essential in big data analytics; some of Qiao’s recent works include novel large-margin based classification methods, the classification stability, the subsampling strategy for massive and high-dimensional data sets, and learning data with special structures.
- PhD, University of North Carolina at Chapel Hill
- MS, University of North Carolina at Chapel Hill
- BS, Fudan University, Shanghai, China
- Machine Learning
- High-dimensional Inference
- Big Data Analytics
- Precision Medicine