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]
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