Li Wang

According to our database1, Li Wang authored at least 16 papers between 2010 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepage:

On csauthors.net:

Bibliography

2019
Probabilistic Dimensionality Reduction via Structure Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

2017
Principal Graph and Structure Learning Based on Reversed Graph Embedding.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

A unified probabilistic framework for robust manifold learning and embedding.
Machine Learning, 2017

Latent Smooth Skeleton Embedding.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Matching Pursuit LASSO Part II: Applications and Sparse Recovery Over Batch Signals.
IEEE Trans. Signal Processing, 2015

Matching Pursuit LASSO Part I: Sparse Recovery Over Big Dictionary.
IEEE Trans. Signal Processing, 2015

Generalized Multiple Kernel Learning With Data-Dependent Priors.
IEEE Trans. Neural Netw. Learning Syst., 2015

SimplePPT: A Simple Principal Tree Algorithm.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Dimensionality Reduction Via Graph Structure Learning.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Parallel Hierarchical Clustering in Linearithmic Time for Large-Scale Sequence Analysis.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014
Towards ultrahigh dimensional feature selection for big data.
J. Mach. Learn. Res., 2014

Riemannian Pursuit for Big Matrix Recovery.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Minimax Sparse Logistic Regression for Very High-Dimensional Feature Selection.
IEEE Trans. Neural Netw. Learning Syst., 2013

2012
Convex Matching Pursuit for Large-Scale Sparse Coding and Subset Selection.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2010
Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


  Loading...