Qixing Huang
Faculty
Qixing Huang obtained his PhD in Computer Science from Stanford University in 2012. From 2012 to 2014 he was a postdoctoral research scholar at Stanford University. From 2014 to 2016 he was a research assistant professor at Toyota Technological Institute at Chicago. He received his MS and BS in Computer Science from Tsinghua University. He has also interned at Google Street View, Google Research and Adobe Research. His research spans computer vision, computer graphics, computational biology and machine learning. In particular, his recent focus is on developing machine learning algorithms (particularly deep learning) that leverage Big Data to solve core problems in computer vision, computer graphics and computational biology. He 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.
What is the Best Automated Metric for Text to Motion Generation? 2023
Jordan Voas, Yili Wang, Qixing Huang, Raymond Mooney, In ACM SIGGRAPH Asia, December 2023.
Generating Animated Videos of Human Activities from Natural Language Descriptions 2018
Angela S. Lin, Lemeng Wu, Rodolfo Corona , Kevin Tai , Qixing Huang , Raymond J. Mooney, In Proceedings of the Visually Grounded Interaction and Language Workshop at NeurIPS 2018, December 2018.
Currently affiliated with Graphics & AI