Zhihua Zhang

According to our database, Zhihua Zhang authored at least 20 papers between 2012 and 2016.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2016

A Scalable and Extensible Framework for Superposition-Structured Models.

Shenjian Zhao, Cong Xie, Zhihua Zhang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Wishart Mechanism for Differentially Private Principal Components Analysis.

Wuxuan Jiang, Cong Xie, Zhihua Zhang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

A Nonconvex Approach for Structured Sparse Learning.

Shubao Zhang, Hui Qian, Zhihua Zhang

CoRR, 2015

A New Relaxation Approach to Normalized Hypergraph Cut.

Cong Xie, Wu-Jun Li, Zhihua Zhang

CoRR, 2015

S-PowerGraph: Streaming Graph Partitioning for Natural Graphs by Vertex-Cut.

Cong Xie, Wu-Jun Li, Zhihua Zhang

CoRR, 2015

2014

Distributed Power-law Graph Computing: Theoretical and Empirical Analysis.

Cong Xie, Ling Yan, Wu-Jun Li, Zhihua Zhang

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Improving the modified nyström method using spectral shifting.

Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Making Fisher Discriminant Analysis Scalable.

Bojun Tu, Zhihua Zhang, Shusen Wang, Hui Qian

Proceedings of the 31th International Conference on Machine Learning, 2014

Efficient Algorithms and Error Analysis for the Modified Nystrom Method.

Shusen Wang, Zhihua Zhang

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Using The Matrix Ridge Approximation to Speedup Determinantal Point Processes Sampling Algorithms.

Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Exact Subspace Clustering in Linear Time.

Shusen Wang, Bojun Tu, Congfu Xu, Zhihua Zhang

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

An iterative SVM approach to feature selection and classification in high-dimensional datasets.

Dehua Liu, Hui Qian, Guang Dai, Zhihua Zhang

Pattern Recognit., 2013

Improving CUR matrix decomposition and the Nyström approximation via adaptive sampling.

Shusen Wang, Zhihua Zhang

J. Mach. Learn. Res., 2013

A Nearly Unbiased Matrix Completion Approach.

Dehua Liu, Tengfei Zhou, Hui Qian, Congfu Xu, Zhihua Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Nonconvex Relaxation Approaches to Robust Matrix Recovery.

Shusen Wang, Dehua Liu, Zhihua Zhang

Proceedings of the IJCAI 2013, 2013

A Concave Conjugate Approach for Nonconvex Penalized Regression with the MCP Penalty.

Shubao Zhang, Hui Qian, Wei Chen, Zhihua Zhang

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Large-Scale Hierarchical Classification via Stochastic Perceptron.

Dehua Liu, Bojun Tu, Hui Qian, Zhihua Zhang

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound

Shusen Wang, Zhihua Zhang, Jian Li

CoRR, 2012

A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound.

Shusen Wang, Zhihua Zhang

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Colorization by Matrix Completion.

Shusen Wang, Zhihua Zhang

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012