Yi Guo received the B. Eng. (Hons.) in instrumenta- tion from the North China University of Technology in 1998, and the M. Eng. in automatic control from Central South University in 2002. From 2005, he studied Computer Science at the University of New England, Armidale, Australia, focusing on di- mensionality reduction for structured data with no vectorial representation. He received a Ph.D. degree in 2008.
Between 2008 and 2016, he was with CSIRO, working as a computational statistician on various projects in spectroscopy, remote sensing and materials science. In 2016, he joined Center for Research in Mathematics at the School of Computing, Engineering and Mathematics, Western Sydney University as a data scientist.
Machine learning, computational statistics and data science. Active areas include manifold learning, dimensionality reduction, subspace clustering for spatial/temporal data, deep learning, sparse models, compressive sensing, optimisation, etc.
Qualifications & Honours
- PhD in Computer Science (Machine Learning)
- ME Electric Engineering (Control Theory)
- BE Electric Engineering (Instrumentation)
For a full listing of my publications, please see my personal publications page.(opens in a new window)