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All publications by Ling Huang
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Large-Margin Convex Polytope Machine
Alex Kantchelian, Michael C. Tschantz, Ling Huang, Peter L. Bartlett, Anthony D. Joseph and J. D. Tygar
Advances in Neural Information Processing Systems 27, 2014


Detecting Large-Scale System Problems by Mining Console Logs
Wei Xu, Ling Huang, Armando Fox, David A. Patterson and Michael I. Jordan
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


An Analysis of the Convergence of Graph Laplacians
Daniel Ting, Ling Huang and Michael I. Jordan
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression
Ling Huang, Jinzhu Jia, Bin Yu, Byung-gon Chun, Petros Maniatis and Mayur Naik
Advances in Neural Information Processing Systems 23, 2010


Near-Optimal Evasion of Convex-Inducing Classifiers
Blaine Nelson, Ling Huang, Anthony D. Joseph, Shing-hon Lau, Steven J. Lee, Satish Rao, Anthony Tran, J. D. Tygar and Benjamin I. Rubinstein
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Semi-Supervised Learning with Max-Margin Graph Cuts
Branislav Kveton, Michal Valko, Ali Rahimi and Ling Huang
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Spectral Clustering with Perturbed Data
Ling Huang, Donghui Yan, Nina Taft and Michael I. Jordan
Advances in Neural Information Processing Systems 21, 2008


In-Network PCA and Anomaly Detection
Ling Huang, Xuanlong Nguyen, Minos Garofalakis, Michael I. Jordan, Anthony Joseph and Nina Taft
Advances in Neural Information Processing Systems 19, 2006