Gang Wang

According to our database, Gang Wang authored at least 14 papers between 2004 and 2017.

Collaborative distances:

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

2017

Multiobjective Path Optimization for Critical Infrastructure Links with Consideration to Seismic Resilience.

Zengfu Wang, Qing Wang, Moshe Zukerman, Jun Guo, Yu Wang, Gang Wang, Jun Yang, William Moran

Comput. Aided Civ. Infrastructure Eng., 2017

2012

Solution Path for Manifold Regularized Semisupervised Classification.

Gang Wang, Fei Wang, Tao Chen, Dit-Yan Yeung, Frederick H. Lochovsky

IEEE Trans. Syst. Man Cybern. Part B, 2012

2010

A regularization framework for multiclass classification: A deterministic annealing approach.

Zhihua Zhang, Gang Wang, Dit-Yan Yeung, Guang Dai, Frederick H. Lochovsky

Pattern Recognit., 2010

2009

Understanding user's query intent with wikipedia.

Jian Hu, Gang Wang, Frederick H. Lochovsky, Jian-Tao Sun, Zheng Chen

Proceedings of the 18th International Conference on World Wide Web, 2009

2008

A New Solution Path Algorithm in Support Vector Regression.

Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky

IEEE Trans. Neural Networks, 2008

Semi-supervised Classification Using Local and Global Regularization.

Fei Wang, Tao Li, Gang Wang, Changshui Zhang

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

The Kernel Path in Kernelized LASSO.

Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

A kernel path algorithm for support vector machines.

Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky

Proceedings of the Machine Learning, 2007

2006

Two-dimensional solution path for support vector regression.

Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky

Proceedings of the Machine Learning, 2006

Solution Path for Semi-Supervised Classification with Manifold Regularization.

Gang Wang, Tao Chen, Dit-Yan Yeung, Frederick H. Lochovsky

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005

Latent Process Model for Manifold Learning.

Gang Wang, Weifeng Su, Xiangye Xiao, Frederick H. Lochovsky

Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005), 2005

A Bernoulli Relational Model for Nonlinear Embedding.

Gang Wang, Hui Zhang, Zhihua Zhang, Frederick H. Lochovsky

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Annealed Discriminant Analysis.

Gang Wang, Zhihua Zhang, Frederick H. Lochovsky

Proceedings of the Machine Learning: ECML 2005, 2005

2004

Feature selection with conditional mutual information maximin in text categorization.

Gang Wang, Frederick H. Lochovsky

Proceedings of the 2004 ACM CIKM International Conference on Information and Knowledge Management, 2004