Supervised Feature Selection Algorithm Based on Low-Rank and Manifold Learning. - Yue Fang; Jilian Zhang; Shichao Zhang 001; Cong Lei; Xiaoyi Hu (ADMA, 2017)

Anonymizing approach to resist label-neighborhood attacks in dynamic releases of social networks. - Xiaoyi Hu; Li-e Wang 001; Jiaqi Tang 004; Cong Lei; Peng Liu 044; Xianxian Li (Healthcom, 2017)

Unsupervised Feature Selection via Local Structure Learning and Self-Representation. - Shichao Zhang 001; Cong Lei; Yue Fang; Yangding Li; Rongyao Hu; Xiaoyi Hu (ICBK, 2017)

Unsupervised Spectral Feature Selection with Local Structure Learning. - Shichao Zhang 001; Yue Fang; Cong Lei; Yangding Li; Rongyao Hu; Yonggang Li (ICBK, 2017)

Robust Graph Dimensionality Reduction. - Xiaofeng Zhu 001; Cong Lei; Hao Yu; Yonggang Li; Jiangzhang Gan; Shichao Zhang 001 (IJCAI, 2018)

Hypergraph expressing low-rank feature selection algorithm. - Yue Fang; Yangding Li; Cong Lei; Yonggang Li; Xuelian Deng (Multim. Tools Appl., 2018)

Unsupervised feature selection via local structure learning and sparse learning. - Cong Lei; Xiaofeng Zhu 001 (Multim. Tools Appl., 2018)

Dynamic graph learning for spectral feature selection. - Wei Zheng; Xiaofeng Zhu 001; Yonghua Zhu; Rongyao Hu; Cong Lei (Multim. Tools Appl., 2018)

Unsupervised feature selection by combining subspace learning with feature self-representation. - Yangding Li; Cong Lei; Yue Fang; Rongyao Hu; Yonggang Li; Shichao Zhang 001 (Pattern Recognit. Lett., 2018)

One-Step Multi-View Spectral Clustering. - Xiaofeng Zhu 001; Shichao Zhang 001; Wei He 017; Rongyao Hu; Cong Lei; Pengfei Zhu 001 (IEEE Trans. Knowl. Data Eng., 2019)

Low-rank hypergraph feature selection for multi-output regression. - Xiaofeng Zhu 001; Rongyao Hu; Cong Lei; Kim-Han Thung; Wei Zheng; Can Wang 004 (World Wide Web, 2019)

Unsupervised nonlinear feature selection algorithm via kernel function. - Jiaye Li 001; Shichao Zhang 001; Leyuan Zhang; Cong Lei; Jilian Zhang (Neural Comput. Appl., 2020)

Supervised feature selection by self-paced learning regression. - Jiangzhang Gan; Guoqiu Wen; Hao Yu; Wei Zheng; Cong Lei (Pattern Recognit. Lett., 2020)

Self-paced Learning for K-means Clustering Algorithm. - Hao Yu; Guoqiu Wen; Jiangzhang Gan; Wei Zheng; Cong Lei (Pattern Recognit. Lett., 2020)

Adaptive reverse graph learning for robust subspace learning. - Chang-An Yuan 001; Zhi Zhong; Cong Lei; Xiaofeng Zhu 001; Rongyao Hu (Inf. Process. Manag., 2021)

Neural Auto-designer for Enhanced Quantum Kernels. - Cong Lei; Yuxuan Du; Peng Mi; Jun Yu 001; Tongliang Liu (ICLR, 2024)

An Adaptive Unmixing Method Based on Iterative Multi-Objective Optimization for Surface Water Fraction Mapping (IMOSWFM) Using Zhuhai-1 Hyperspectral Images. - Cong Lei; Rong Liu; Zhiyuan Kuang; Ruru Deng (Remote. Sens., 2024)

Two-Stage Evolutionary Algorithm Based on Subspace Specified Searching for Hyperspectral Endmember Extraction. - Cong Lei; Rong Liu; Ye Tian 009 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

A Novel Endmember Bundle Extraction Framework for Capturing Endmember Variability by Dynamic Optimization. - Rong Liu; Cong Lei; Linfu Xie; Xiaoqiong Qin (IEEE Trans. Geosci. Remote. Sens., 2024)

Remote sensing algorithm for dissolved organic carbon in the Laptev Sea: Correction of photobleaching effect using spectral slope. - Ruiwu Zhang; Ruru Deng; Jun Ying; Cong Lei; Jiayi Li; Yu Guo; Tongtong Zhao (Ecol. Informatics, 2025)