Zhen Xie is a postdoctoral scholar in the Electrical Engineering and Computer Scienceg at University of California Merced. Zhen’s research emphasizes on optimizing high-performance application, machine learning algorithms (decision tree and boosting variants), sparse kernels (such as SpMV and SpGEMM) and sparse neural network on various parallel architectures.
Machine Learning, Deep Learning and Artificial Intelligence
Requirements, Performance, and Benchmarks
Reliability and Resiliency