Qixing Huang
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Qixing Huang is an associate professor of Computer Science at the University of Texas at Austin. He obtained his PhD in Computer Science from Stanford University. He was a research assistant professor at Toyota Technological Institute at Chicago before joining UT Austin.
Dr. Huang's research spans the fields of computer vision, computer graphics, and machine learning, and publishes extensively in venues such as SIGGRAPH, CVPR, ICCV, ECCV, NeuriPS, ICML, ICLR and etc. In particular, his recent focus is on developing 3D generative models that enforce geometric, physical, and topological priors and learn from both 3D and 2D that address issues of limited 3D data and generalization. He is also interested in statistical data analysis, compressive sensing, low-rank matrix recovery, and large-scale optimization, which provides theoretical foundation for his research. He also received the best paper award at the Symposium on Geometry Processing 2013, the best dataset award at the Symposium on Geometry Processing 2018, and the most cited paper award of Computer-Aided Geometric Design in 2010 and 2011, IJCAI Career Spotlight, and an NSF Career award.
Awards
2021 NSF Career award..
IJCAI 2019 Career Spotlight. .
CVPR 2019 Best Paper Finalist. .
The best dataset award at the Symposium on Geometry Processing 2018..
The best paper award at the Symposium on Geometry Processing 2013. .
The most cited paper award of Computer-Aided Geometric Design in 2010 and 2011..
Recent News
Apr. 2024: GPLD3D and TutteNet were selected as oral and highlight presentations at CVPR 2024, respectively.
Feb. 2024: I will serve as a Lead AC for ECCV 2024.
Feb. 2024: Four papers accepted to CVPR 2024.
Jan. 2024: Four papers accepted to ICLR 2024.
Contact
Office: Gates Dell Complex, Room 7802
Mailing address: 2317 Speedway, Austin, Texas 78712
Email: huangqx at cs dot utexas dot edu