Qixing Huang

Assistant Professor
Assistant Professor Qixing Huang joined UT Computer Science in 2016. He obtained his PhD in Computer Science from Stanford University. Before joining UT Austin, Dr. Huang was a research assistant professor at Toyota Technological Institute at Chicago. His research spans the fields of computer vision, computer graphics, 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. Dr. Huang is extensively published in venues such as SIGGRAPH, CVPR, ICCV, ECCV, NeuriPS, and ICML.

Research

Research Interests: 

His research spans the fields of computer vision, computer graphics, 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.

Dr. Huang is also interested in statistical data analysis, compressive sensing, low-rank matrix recovery, and large-scale optimization, which provides theoretical foundation for his research.

Select Publications

Bo Sun, Xiangru Huang, , Zaiwei Zhang, Junfeng Jiang, Qixing Huang, and Chandrajit Bajaj. ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators. International COnference on Computer Vision (or ICCV) 2021.

Xiangru Huang, Zhenxiao Liang, and Qixing Huang . Uncertainty Quantification for Multi-Scan Registration ACM Transactions on Graphics, 39(4), Proceedings of ACM SIGGRAPH 2020.

Zaiwei Zhang, Zhenxiao Liang, Lemeng Wu, Xiaowei Zhou, and Qixing Huang. Path-Invariant Map Networks. Computer Vision and Pattern Recognition (or CVPR) 2019. Oral Presentation and Best Paper Finalist .

Qixing Huang and Leonidas Guibas. Consistent Shape Maps via Semidefinite Programming. Computer Graphics Forum, Volume 32(5) (Proc. Symposium on Geometry Processing ). (Best Paper Award).

Qixing Huang. Simon Flory, Nathsha Gelfand, Michael Hofer, and Helmut Pottmann. Reassembling Fractured Objects by Geometric Matching. ACM Transactions on Graphics 25(3) (Proc. SIGGRAPH 2006).

Awards & Honors

2021 - NSF Career award
2019 - IJCAI Career Spotlight
2019 - CVPR Best Paper Finalist
2018 - The best dataset award at the Symposium on Geometry Processing
2013 - Symposium on Geometry Processing Best Paper Award
2011 - Computer Aided Geometric Design Most Cited Paper Award
2010 - Computer Aided Geometric Design Most Cited Paper Award