Cong Lei

According to our database, Cong Lei authored at least 18 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Two-Stage Evolutionary Algorithm Based on Subspace Specified Searching for Hyperspectral Endmember Extraction.

Cong Lei, Rong Liu, Ye Tian

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Neural auto-designer for enhanced quantum kernels.

Cong Lei, Yuxuan Du, Peng Mi, Jun Yu, Tongliang Liu

CoRR, 2024

2021

Adaptive reverse graph learning for robust subspace learning.

Chang-An Yuan, Zhi Zhong, Cong Lei, Xiaofeng Zhu, Rongyao Hu

Inf. Process. Manag., 2021

2020

Self-paced Learning for <i>K</i>-means Clustering Algorithm.

Hao Yu, Guoqiu Wen, Jiangzhang Gan, Wei Zheng, Cong Lei

Pattern Recognit. Lett., 2020

Supervised feature selection by self-paced learning regression.

Jiangzhang Gan, Guoqiu Wen, Hao Yu, Wei Zheng, Cong Lei

Pattern Recognit. Lett., 2020

Unsupervised nonlinear feature selection algorithm via kernel function.

Jiaye Li, Shichao Zhang, Leyuan Zhang, Cong Lei, Jilian Zhang

Neural Comput. Appl., 2020

2019

Low-rank hypergraph feature selection for multi-output regression.

Xiaofeng Zhu, Rongyao Hu, Cong Lei, Kim-Han Thung, Wei Zheng, Can Wang

World Wide Web, 2019

One-Step Multi-View Spectral Clustering.

Xiaofeng Zhu, Shichao Zhang, Wei He, Rongyao Hu, Cong Lei, Pengfei Zhu

IEEE Trans. Knowl. Data Eng., 2019

2018

Unsupervised feature selection by combining subspace learning with feature self-representation.

Yangding Li, Cong Lei, Yue Fang, Rongyao Hu, Yonggang Li, Shichao Zhang

Pattern Recognit. Lett., 2018

Dynamic graph learning for spectral feature selection.

Wei Zheng, Xiaofeng Zhu, Yonghua Zhu, Rongyao Hu, Cong Lei

Multim. Tools Appl., 2018

Unsupervised feature selection via local structure learning and sparse learning.

Cong Lei, Xiaofeng Zhu

Multim. Tools Appl., 2018

Hypergraph expressing low-rank feature selection algorithm.

Yue Fang, Yangding Li, Cong Lei, Yonggang Li, Xuelian Deng

Multim. Tools Appl., 2018

Robust Graph Dimensionality Reduction.

Xiaofeng Zhu, Cong Lei, Hao Yu, Yonggang Li, Jiangzhang Gan, Shichao Zhang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Unsupervised Spectral Feature Selection with Local Structure Learning.

Shichao Zhang, Yue Fang, Cong Lei, Yangding Li, Rongyao Hu, Yonggang Li

Proceedings of the IEEE International Conference on Big Knowledge, 2017

Unsupervised Feature Selection via Local Structure Learning and Self-Representation.

Shichao Zhang, Cong Lei, Yue Fang, Yangding Li, Rongyao Hu, Xiaoyi Hu

Proceedings of the IEEE International Conference on Big Knowledge, 2017

Anonymizing approach to resist label-neighborhood attacks in dynamic releases of social networks.

Xiaoyi Hu, Li-e Wang, Jiaqi Tang, Cong Lei, Peng Liu, Xianxian Li

Proceedings of the 19th IEEE International Conference on e-Health Networking, 2017

Supervised Feature Selection Algorithm Based on Low-Rank and Manifold Learning.

Yue Fang, Jilian Zhang, Shichao Zhang, Cong Lei, Xiaoyi Hu

Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017