Zhengming Xing

According to our database, Zhengming Xing authored at least 7 papers between 2010 and 2020.

Collaborative distances:

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

2020

Gradient Boosting Neural Networks: GrowNet.

Sarkhan Badirli, Xuanqing Liu, Zhengming Xing, Avradeep Bhowmik, Sathiya S. Keerthi

CoRR, 2020

2019

EstImAgg: A Learning Framework for Groupwise Aggregated Data.

Avradeep Bhowmik, Minmin Chen, Zhengming Xing, Suju Rajan

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

2017

Evaluating U.S. Electoral Representation with a Joint Statistical Model of Congressional Roll-Calls, Legislative Text, and Voter Registration Data.

Zhengming Xing, Sunshine Hillygus, Lawrence Carin

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2012

Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images.

Mingyuan Zhou, Haojun Chen, John W. Paisley, Lu Ren, Lingbo Li, Zhengming Xing, David B. Dunson, Guillermo Sapiro, Lawrence Carin

IEEE Trans. Image Process., 2012

Dictionary Learning for Noisy and Incomplete Hyperspectral Images.

Zhengming Xing, Mingyuan Zhou, Alexey Castrodad, Guillermo Sapiro, Lawrence Carin

SIAM J. Imaging Sci., 2012

2011

Learning Discriminative Sparse Representations for Modeling, Source Separation, and Mapping of Hyperspectral Imagery.

Alexey Castrodad, Zhengming Xing, John B. Greer, Edward Bosch, Lawrence Carin, Guillermo Sapiro

IEEE Trans. Geosci. Remote. Sens., 2011

2010

Discriminative sparse representations in hyperspectral imagery.

Alexey Castrodad, Zhengming Xing, John B. Greer, Edward Bosch, Lawrence Carin, Guillermo Sapiro

Proceedings of the International Conference on Image Processing, 2010