Xianbin Gu

Xianbin Gu is an Assistant Professor of Practice in Computer Science at NYU Shanghai. His research interests include machine learning and its application in computer vision and data analysis. 

Select Publications

• Gu, Xianbin, and Martin Purvis. "Image segmentation with superpixel based covariance descriptor." Pacific-Asia Conference on Knowledge Discovery and Data Mining. Springer, Cham, 2016
• Gu, Xianbin, Jeremiah D. Deng, and Martin K. Purvis. "Improving superpixel-based image segmentation by incorporating color covariance matrix manifolds." 2014 IEEE International Conference on Image Processing (ICIP). IEEE, 2014
• • Gu, Xianbin, and Xuying LI. "Empirical analysis on long memory property of Baltic dry index." Journal of Shanghai Maritime University 30.1 (2009): 40-44

Education

• PhD, Information Science
  University of Otago