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Qixing Huang joined the University of Texas at Austin as an Associate Professor in the Department of Computer Science in 2016. After obtaining his PhD in Computer Science from Stanford University, he served as a research assistant professor at the Toyota Technological Institute at Chicago. His research spans several fields including computer vision, computer graphics, and machine learning, with a particular focus on developing machine learning algorithms, especially deep learning techniques, that leverage big data to tackle core challenges in computer vision, computer graphics, and computational biology. He has extensively published his work in prestigious venues such as SIGGRAPH, CVPR, ICCV, ECCV, NeuriPS, and ICML. Dr. Huang is also interested in areas like statistical data analysis, compressive sensing, low-rank matrix recovery, and large-scale optimization, which provide a theoretical foundation for his research.
University of Texas at Austin • Austin, TX
Associate Professor in the Department of Computer Science.
Toyota Technological Institute Chicago • Chicago, IL
Served as a research assistant professor before joining UT Austin.
General requirements for the Graduate School at UT Austin apply to all programs unless otherwise specified.