Zhengming Xing

Publication Activity (10 Years)

Years Active: 2010-2020
Publications (10 Years): 3

Top Topics

Hyperspectral Images

Aggregated Data

Nonparametric Bayesian

Top Venues

SIAM J. Imaging Sci.

Publications

Sarkhan Badirli, Xuanqing Liu, Zhengming Xing, Avradeep Bhowmik, Sathiya S. Keerthi
Gradient Boosting Neural Networks: GrowNet. CoRR (2020)
Avradeep Bhowmik, Minmin Chen, Zhengming Xing, Suju Rajan
EstImAgg: A Learning Framework for Groupwise Aggregated Data. SDM (2019)
Zhengming Xing, Sunshine Hillygus, Lawrence Carin
Evaluating U.S. Electoral Representation with a Joint Statistical Model of Congressional Roll-Calls, Legislative Text, and Voter Registration Data. KDD (2017)
Mingyuan Zhou, Haojun Chen, John W. Paisley, Lu Ren, Lingbo Li, Zhengming Xing, David B. Dunson, Guillermo Sapiro, Lawrence Carin
Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images. IEEE Trans. Image Process. 21 (1) (2012)
Zhengming Xing, Mingyuan Zhou, Alexey Castrodad, Guillermo Sapiro, Lawrence Carin
Dictionary Learning for Noisy and Incomplete Hyperspectral Images. SIAM J. Imaging Sci. 5 (1) (2012)
Alexey Castrodad, Zhengming Xing, John B. Greer, Edward Bosch, Lawrence Carin, Guillermo Sapiro
Learning Discriminative Sparse Representations for Modeling, Source Separation, and Mapping of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 49 (11) (2011)
Alexey Castrodad, Zhengming Xing, John B. Greer, Edward Bosch, Lawrence Carin, Guillermo Sapiro
Discriminative sparse representations in hyperspectral imagery. ICIP (2010)