Greedy metrics in orthogonal greedy learning. - Lin Xu 001; Shaobo Lin; Jinshan Zeng; Zongben Xu (CoRR, 2014)

Re-scale boosting for regression and classification. - Shaobo Lin; Yao Wang 003; Lin Xu 001 (CoRR, 2015)

Shrinkage degree in L2-re-scale boosting for regression. - Lin Xu 001; Shaobo Lin; Yao Wang 003; Zongben Xu (CoRR, 2015)

Jackson-type inequalities for spherical neural networks with doubling weights. - Shaobo Lin; Jinshan Zeng; Lin Xu 001; Zongben Xu (Neural Networks, 2015)

Learning capability of the truncated greedy algorithm. - Lin Xu 001; Shaobo Lin; Zongben Xu (Sci. China Inf. Sci., 2016)

Greedy Criterion in Orthogonal Greedy Learning. - Lin Xu 001; Shaobo Lin; Jinshan Zeng; Xia Liu; Zongben Xu (CoRR, 2016)

Re-scale AdaBoost for attack detection in collaborative filtering recommender systems. - Zhihai Yang; Lin Xu 001; Zhongmin Cai; Zongben Xu (Knowl. Based Syst., 2016)

Polsar image classification based on three-dimensional wavelet texture features and Markov random field. - Haixia Bi; Lin Xu 001; Xiangyong Cao; Zongben Xu (IGARSS, 2017)

Hyperspectral Image Segmentation with Markov Random Fields and a Convolutional Neural Network. - Xiangyong Cao; Feng Zhou 001; Lin Xu 001; Deyu Meng; Zongben Xu; John W. Paisley (CoRR, 2017)

Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification. - Xiangyong Cao; Lin Xu 001; Deyu Meng; Qian Zhao 002; Zongben Xu (Neurocomputing, 2017)

Shrinkage Degree in L2-Rescale Boosting for Regression. - Lin Xu 001; Shaobo Lin; Yao Wang 003; Zongben Xu (IEEE Trans. Neural Networks Learn. Syst., 2017)

Greedy Criterion in Orthogonal Greedy Learning. - Lin Xu 001; Shaobo Lin; Jinshan Zeng; Xia Liu; Yi Fang 006; Zongben Xu (IEEE Trans. Cybern., 2018)

Hyperspectral Image Classification With Markov Random Fields and a Convolutional Neural Network. - Xiangyong Cao; Feng Zhou 001; Lin Xu 001; Deyu Meng; Zongben Xu; John W. Paisley (IEEE Trans. Image Process., 2018)

Polarimetric SAR Image Semantic Segmentation With 3D Discrete Wavelet Transform and Markov Random Field. - Haixia Bi; Lin Xu 001; Xiangyong Cao; Yong Xue; Zongben Xu (IEEE Trans. Image Process., 2020)

Sparsity-Enhanced Convolutional Decomposition: A Novel Tensor-Based Paradigm for Blind Hyperspectral Unmixing. - Jing Yao 002; Danfeng Hong; Lin Xu 001; Deyu Meng; Jocelyn Chanussot; Zongben Xu (IEEE Trans. Geosci. Remote. Sens., 2022)

Orthogonal Super Greedy Learning for Sparse Feedforward Neural Networks. - Lin Xu 001; Xiangyong Cao; Jing Yao 002; Zheng Yan 001 (IEEE Trans. Netw. Sci. Eng., 2022)

IDEAL: Independent domain embedding augmentation learning. - Zelin Yang; Lin Xu 001; Shiyang Yan; Haixia Bi; Fan Li 003 (Pattern Recognit., 2026)