Ph.D. 2012, Stanford University

Computer Graphics
Computer Vision
Machine Learning

Qixing Huang is an Assistant Professor and the director of Graphics & AI Lab in UT Computer Science. He obtained his PhD in Computer Science from Stanford University in 2012. From 2012 to 2014 he was a postdoctoral research scholar at Stanford University. Prior to joining UT, Qixing was a research assistant professor at Toyota Technological Institute at Chicago from 2014 to 2016.

Qixing’s research focuses on developing machine learning techniques (particularly deep learning) that leverage Big Data to solve core problems in processing geometric data (e.g., 1D GPS traces, 2D images, and 3D shapes). Qixing is also interested in statistical data analysis, compressive sensing, low-rank matrix recovery, and large-scale optimization, which provide theoretical foundation for much of his research. His research has been widely recognized in industry such as Google and Adobe, where he has worked as three summers. These internships resulted in three patents. His work on data-driven visual correspondences has received the best paper award at Symposium on Geometry Processing 2013.

His ongoing research activities lie at the intersection of Graphics and various fields of AI. Highlighted research projects include virtual content creation from text specifications, autonomous geometry reconstruction, and learning to generate synthetic data for training convolutional neural networks. He also continues to work at the intersection of Graphics and compressive sensing. The key factor made him choose UT among other schools is that his research can significantly benefit from as well as contribute to the already very strong AI lab at UT.

During spare-time, he enjoys playing volleyball and cooking.