A general graph-based semi-supervised learning with novel class discovery. - Feiping Nie 001; Shiming Xiang; Yun Liu 021; Changshui Zhang (Neural Comput. Appl., 2010)

Semi-supervised distance metric learning based on local linear regression for data clustering. - Hong Zhang; Jun Yu 002; Meng Wang 001; Yun Liu 021 (Neurocomputing, 2012)

Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction. - Feiping Nie 001; Shiming Xiang; Yun Liu 021; Chenping Hou; Changshui Zhang (Pattern Recognit. Lett., 2012)

Efficient semi-supervised feature selection with noise insensitive trace ratio criterion. - Yun Liu 021; Feiping Nie 001; Jigang Wu; Lihui Chen 001 (Neurocomputing, 2013)

Fusing inherent and external knowledge with nonlinear learning for cross-media retrieval. - Hong Zhang; Yun Liu 021; Zhigang Ma (Neurocomputing, 2013)

Discriminative Unsupervised Dimensionality Reduction. - Xiaoqian Wang 001; Yun Liu 021; Feiping Nie 001; Heng Huang (IJCAI, 2015)

Semi-Supervised Classifications via Elastic and Robust Embedding. - Yun Liu 021; Yiming Guo; Hua Wang 007; Feiping Nie 001; Heng Huang (AAAI, 2017)

Generalized Uncorrelated Regression with Adaptive Graph for Unsupervised Feature Selection. - Xuelong Li 001; Han Zhang 012; Rui Zhang 017; Yun Liu 021; Feiping Nie 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Supervised Dimensionality Reduction Methods via Recursive Regression. - Yun Liu 021; Rui Zhang 017; Feiping Nie 001; Xuelong Li 001; Chris Ding (IEEE Trans. Neural Networks Learn. Syst., 2020)