Peer-Reviewed Full Papers

  • New Insights into Laplacain Similarity Search.
    Xiao-Ming Wu, Zhenguo Li, and Shih-Fu Chang.
    In Proceedings of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2015
    [PDF] [Supplemental] [Abstract] [Code] [Poster]
  • Locally Linear Hashing for Extracting Non-Linear Manifolds.
    Go Irie, Zhenguo Li, Xiao-Ming Wu, and Shih-Fu Chang.
    In Proceedings of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2014 (acceptance rate: 540/1807 = 29.88%).
    [PDF] [Supplemental] [Code] [Poster]
  • Analyzing the Harmonic Structure in Graph-Based Learning.
    Xiao-Ming Wu, Zhenguo Li, and Shih-Fu Chang.
    In Proceedings of Advances in Neural Information Processing Systems (NIPS), December 2013 (acceptance rate: 360/1420 = 25%).
    [PDF] [Supplemental] [Code] [Poster]
  • Learning with Partially Absorbing Random Walks.
    Xiao-Ming Wu, Zhenguo Li, Anthony Man-Cho So, John Wright, and Shih-Fu Chang.
    In Proceedings of Advances in Neural Information Processing Systems (NIPS), December 2012 (acceptance rate: 370/1467 = 25%).
    [PDF] [Supplemental] [Code] [Poster]
  • Segmentation Using Superpixels: A Bipartite Graph Partitioning Approach.
    Zhenguo Li, Xiao-Ming Wu, and Shih-Fu Chang.
    In Proceedings of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2012 (acceptance rate: 465/1933 = 24%).
    [PDF] [Code] [Project][Poster]
  • Fast Graph Laplacian Regularized Kernel Learning via Semidefinite-Quadratic-Linear Programming.
    Xiao-Ming Wu, Anthony Man-Cho So, Zhenguo Li, and Shuo-Yen Robert Li.
    In Proceedings of Advances in Neural Information Processing Systems (NIPS), December 2009 (Spotlight, acceptance rate: 87/1105 = 8%).
    [PDF] [Code] [Poster]