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Zhengming Xing
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2020 – today
- 2020
- [i1]Sarkhan Badirli, Xuanqing Liu, Zhengming Xing, Avradeep Bhowmik, Sathiya S. Keerthi:
Gradient Boosting Neural Networks: GrowNet. CoRR abs/2002.07971 (2020)
2010 – 2019
- 2019
- [c3]Avradeep Bhowmik, Minmin Chen, Zhengming Xing, Suju Rajan:
EstImAgg: A Learning Framework for Groupwise Aggregated Data. SDM 2019: 477-485 - 2017
- [c2]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: 1205-1214 - 2012
- [j3]Zhengming Xing, Mingyuan Zhou, Alexey Castrodad, Guillermo Sapiro, Lawrence Carin
:
Dictionary Learning for Noisy and Incomplete Hyperspectral Images. SIAM J. Imaging Sci. 5(1): 33-56 (2012) - [j2]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): 130-144 (2012) - 2011
- [j1]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): 4263-4281 (2011) - 2010
- [c1]Alexey Castrodad, Zhengming Xing, John B. Greer, Edward Bosch, Lawrence Carin
, Guillermo Sapiro:
Discriminative sparse representations in hyperspectral imagery. ICIP 2010: 1313-1316
Coauthor Index
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