Xianbin Gu

Xianbin Gu
Recitation Instructor in Computer Science
Xianbin G is a recitation instructor in Computer Science at NYU Shanghai. He holds a Ph.D. of information science from University of Otago in August 2017, a Master’s degree of Economics from Shanghai Maritime University, and a Bachelor’s degree of Engineering from Wuhan University of Technology.
 
His research interests include machine learning, computer vision, data mining, and graph modeling. He has presented his work at a few international conferences in computer vision and data mining, such as ICIP, and PAKDD.
 
Before joining NYU Shanghai, he was a research assistant (part time) in Department of Information Science, University of Otago, for the projects on machine learning techniques and a lab demonstrator in Department of Computer Science, University of Otago. 
 

Publications

  • Gu, X., Deng, J. D., and Purvis, M. K. (2016). A hierarchical segmentation tree for superpixel-based image segmentation. In Proceedings of the 31st International Conference on Image and Vision Computing New Zealand (IVCNZ), IEEE.
  • Gu, X., Purvis, M. K. (2016). Image segmentation with superpixel-based covariance descriptors. In Proceedings of Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Springer. 
  • Gu, X., Deng, J. D., and Purvis M. K. (2014). Superpixel-based segmentation using multi-layer bipartite graphs and Grassmann manifolds. In Proceedings of the 29th International Conference on Image and Vision Computing New Zealand (IVCNZ), ACM.
  • Gu, X., Deng, J. D., and Purvis M. K. (2014). Improving superpixel-based image segmentation by incorporating color covariance matrix manifolds. In Proceedings of IEEE International Conference on Image Processing (ICIP), IEEE. (Top 10% paper award)

Languages

  • Chinese (native)
  • English