Qixing Huang obtained his Ph.D. in Computer Science from Stanford University. In the past, he has worked as a research assistant professor at Toyota Technological Institute at Chicago and on teams 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.
Mohamed Baker Alawieh, Yibo Lin, Zaiwei Zhang, Meng Li, Qixing Huang, and David Z. Pan. 2019, February. GAN-SRAF: Sub-Resolution Assist Feature Generation using Conditional Generative Adversarial Networks. Design and Automation Conference.
Angela S. Lin, Lemeng Wu, Rodolfo Corona, Kevin Tai, Qixing Huang and Raymond J. Mooney. 2018. Generating Animated Videos of Human Activities from Natural Language Descriptions. Department of Computer Science, The University of Texas at Austin.
Arjun Karpur, Qixing Huang. 2018. Enforcing View Consistency With Latent Configurations for 3D Vision Tasks. Department of Computer Science, The University of Texas at Austin.
Yifan Sun, Zhenxiao Liang, Xiangru Huang and Qixing Huang. 2018. Joint Map and Symmetry Synchronization.
Haoshuo Huang, Qixing Huang, and Philipp Krähenbühl. 2018. Domain transfer through deep activation matching..