Xiaogang Wang

According to our database, Xiaogang Wang authored at least 22 papers between 2005 and 2022.

Collaborative distances:

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

2022

Nonparametric Clustering of Mixed Data Using Modified Chi-Squared Tests.

Yawen Xu, Xin Gao, Xiaogang Wang

Entropy, December, 2022

2020

Adaptive Momentum Coefficient for Neural Network Optimization.

Zana Rashidi, Kasra Ahmadi K. A., Aijun An, Xiaogang Wang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2018

Robust joint score tests in the application of DNA methylation data analysis.

Xuan Li, Yuejiao Fu, Xiaogang Wang, Weiliang Qiu

BMC Bioinform., 2018

Decoupling the Layers in Residual Networks.

Ricky Fok, Aijun An, Zana Rashidi, Xiaogang Wang

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Geodesic and contour optimization using conformal mapping.

Ricky Fok, Aijun An, Xiaogang Wang

J. Glob. Optim., 2017

Spontaneous Symmetry Breaking in Neural Networks.

Ricky Fok, Aijun An, Xiaogang Wang

CoRR, 2017

Optimization assisted MCMC.

Ricky Fok, Aijun An, Xiaogang Wang

CoRR, 2017

Mining Evolving Data Streams with Particle Filters.

Ricky Fok, Aijun An, Xiaogang Wang

Comput. Intell., 2017

2012

Multiple-platform data integration method with application to combined analysis of microarray and proteomic data.

Shicheng Wu, Yawen Xu, Zeny Z. Feng, Xiaojian Yang, Xiaogang Wang, Xin Gao

BMC Bioinform., 2012

2011

Estimation of number of clusters in categorical data via distance-based likelihood function.

Peng Zhang, Yaolong Feng, Xiaogang Wang

Proceedings of the Seventh International Conference on Natural Computation, 2011

2010

Using the bootstrap method to detect influential DMUs in data envelopment analysis.

Zijiang Yang, Xiaogang Wang, Dongming Sun

Ann. Oper. Res., 2010

2009

Efficient layered density-based clustering of categorical data.

Bill Andreopoulos, Aijun An, Xiaogang Wang, Dirk Labudde

J. Biomed. Informatics, 2009

A roadmap of clustering algorithms: finding a match for a biomedical application.

Bill Andreopoulos, Aijun An, Xiaogang Wang, Michael Schroeder

Briefings Bioinform., 2009

2007

Clustering large software systems at multiple layers.

Bill Andreopoulos, Aijun An, Vassilios Tzerpos, Xiaogang Wang

Inf. Softw. Technol., 2007

Finding molecular complexes through multiple layer clustering of protein interaction networks.

Bill Andreopoulos, Aijun An, Xiangji Huang, Xiaogang Wang

Int. J. Bioinform. Res. Appl., 2007

CLUES: A non-parametric clustering method based on local shrinking.

Xiaogang Wang, Weiliang Qiu, Ruben H. Zamar

Comput. Stat. Data Anal., 2007

Clustering by common friends finds locally significant proteins mediating modules.

Bill Andreopoulos, Aijun An, Xiaogang Wang, Michalis Faloutsos, Michael Schroeder

Bioinform., 2007

Hierarchical Density-Based Clustering of Categorical Data and a Simplification.

Bill Andreopoulos, Aijun An, Xiaogang Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Translation and Rotation Invariant Mining of Frequent Trajectories: Application to Protein Unfolding Pathways.

Alexander Andreopoulos, Bill Andreopoulos, Aijun An, Xiaogang Wang

Proceedings of the Emerging Technologies in Knowledge Discovery and Data Mining, 2007

2006

Bi-level clustering of mixed categorical and numerical biomedical data.

Bill Andreopoulos, Aijun An, Xiaogang Wang

Int. J. Data Min. Bioinform., 2006

2005

Multiple Layer Clustering of Large Software Systems.

Bill Andreopoulos, Aijun An, Vassilios Tzerpos, Xiaogang Wang

Proceedings of the 12th Working Conference on Reverse Engineering, 2005

Clustering mixed numerical and low quality categorical data: significance metrics on a yeast example.

Bill Andreopoulos, Aijun An, Xiaogang Wang

Proceedings of the IQIS 2005, 2005