Discriminative sparse representations in hyperspectral imagery. - Alexey Castrodad; Zhengming Xing; John B. Greer; Edward Bosch; Lawrence Carin; Guillermo Sapiro (ICIP, 2010)

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)

Dictionary Learning for Noisy and Incomplete Hyperspectral Images. - Zhengming Xing; Mingyuan Zhou; Alexey Castrodad; Guillermo Sapiro; Lawrence Carin (SIAM J. Imaging Sci., 2012)

Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images. - Mingyuan Zhou; Haojun Chen; John W. Paisley; Lu Ren; Lingbo Li 002; Zhengming Xing; David B. Dunson; Guillermo Sapiro; Lawrence Carin (IEEE Trans. Image Process., 2012)

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 (KDD, 2017)

EstImAgg: A Learning Framework for Groupwise Aggregated Data. - Avradeep Bhowmik; Minmin Chen; Zhengming Xing; Suju Rajan (SDM, 2019)

Gradient Boosting Neural Networks: GrowNet. - Sarkhan Badirli; Xuanqing Liu; Zhengming Xing; Avradeep Bhowmik; Sathiya S. Keerthi (CoRR, 2020)