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Qixing Huang

Assistant Professor
The University of Texas at Austin

GDC 5'422, Austin, Texas 78751

Email: huangqx at cs.utexas dot edu



Short Bio

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 Institue 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.


March 2019. Two papers conditionally accepted by SIGGRAPH 2019. Many thanks for my colleagues, students and summer interns.

March 2019. Six papers accepted by CVPR 2019, including 3 Orals. Many thanks for my students and collaborators.

Feburary 2019. Our tutorial (together with Xiaowei Zhou, Junyan Zhu and Tinghui Zhou) on "Map Synchronization: from Object Correspondences to Neural Networks" was accepted by CVPR 2019.

Feburary 2019. Our paper on "GAN-SRAF: Sub-Resolution Assist Feature Generation using Conditional Generative Adversarial Networks" was accepted by Design and Automation Conference (or DAC) 2019.

January 2019. Our workshop (together with Angel Chang, Daniel Ritchie and Manolis Savva) on "3D Scene Generation" was accepted by CVPR 2019.

November 2018. I will serve as area chairs of ICCV 2019 and CVPR 2019.

July 2018. Four papers accepted by European Conference on Computer Vision (or ECCV 2018).

June 2018. Arjun defended his undergraduate thesis on multi-view supervision for 3D inference tasks.

May 2018. One paper accepted by International Conference on Machine Learning (or ICML 2018).

Curriculum Vitae


Google Scholar

My Research Group

Teaching and Reading Groups

  • Spring, 2019: Computer Vision (Undergraduate Course).
  • Fall, 2018: Numerical Optimization for Graphics and AI (Graduate Course).
  • Spring, 2018: Computer Graphics (Undergraduate Course).
  • Fall, 2017: Numerical Optimization for Graphics and AI (Graduate Course).
  • Spring, 2017: Advanced Geometry Processing (Graduate Course).
  • Fall, 2016---: Machine Learning and Statistics Reading Group.
  • Students(UT Austin)

  • Xiangru Huang
  • Zaiwei Zhang
  • Zhenpei Yang
  • Yifan Sun
  • Zhenxiao Liang
  • Bo Sun

    Last update: March. 13, 2019