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Cong Lei
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2020 – today
- 2024
- [j12]Cong Lei
, Rong Liu
, Ye Tian
:
Two-Stage Evolutionary Algorithm Based on Subspace Specified Searching for Hyperspectral Endmember Extraction. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 732-747 (2024) - [j11]Rong Liu
, Cong Lei
, Linfu Xie
, Xiaoqiong Qin
:
A Novel Endmember Bundle Extraction Framework for Capturing Endmember Variability by Dynamic Optimization. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [c6]Cong Lei, Yuxuan Du, Peng Mi, Jun Yu, Tongliang Liu:
Neural Auto-designer for Enhanced Quantum Kernels. ICLR 2024 - [i1]Cong Lei, Yuxuan Du, Peng Mi, Jun Yu, Tongliang Liu:
Neural auto-designer for enhanced quantum kernels. CoRR abs/2401.11098 (2024) - 2021
- [j10]Chang-An Yuan, Zhi Zhong, Cong Lei, Xiaofeng Zhu
, Rongyao Hu:
Adaptive reverse graph learning for robust subspace learning. Inf. Process. Manag. 58(6): 102733 (2021) - 2020
- [j9]Jiaye Li, Shichao Zhang, Leyuan Zhang, Cong Lei, Jilian Zhang:
Unsupervised nonlinear feature selection algorithm via kernel function. Neural Comput. Appl. 32(11): 6443-6454 (2020) - [j8]Jiangzhang Gan, Guoqiu Wen, Hao Yu, Wei Zheng, Cong Lei:
Supervised feature selection by self-paced learning regression. Pattern Recognit. Lett. 132: 30-37 (2020) - [j7]Hao Yu, Guoqiu Wen, Jiangzhang Gan, Wei Zheng, Cong Lei:
Self-paced Learning for K-means Clustering Algorithm. Pattern Recognit. Lett. 132: 69-75 (2020)
2010 – 2019
- 2019
- [j6]Xiaofeng Zhu
, Shichao Zhang
, Wei He, Rongyao Hu, Cong Lei
, Pengfei Zhu
:
One-Step Multi-View Spectral Clustering. IEEE Trans. Knowl. Data Eng. 31(10): 2022-2034 (2019) - [j5]Xiaofeng Zhu
, Rongyao Hu, Cong Lei
, Kim-Han Thung, Wei Zheng, Can Wang
:
Low-rank hypergraph feature selection for multi-output regression. World Wide Web 22(2): 517-531 (2019) - 2018
- [j4]Yue Fang, Yangding Li, Cong Lei, Yonggang Li, Xuelian Deng:
Hypergraph expressing low-rank feature selection algorithm. Multim. Tools Appl. 77(22): 29551-29572 (2018) - [j3]Cong Lei, Xiaofeng Zhu
:
Unsupervised feature selection via local structure learning and sparse learning. Multim. Tools Appl. 77(22): 29605-29622 (2018) - [j2]Wei Zheng, Xiaofeng Zhu
, Yonghua Zhu, Rongyao Hu, Cong Lei:
Dynamic graph learning for spectral feature selection. Multim. Tools Appl. 77(22): 29739-29755 (2018) - [j1]Yangding Li, Cong Lei
, Yue Fang, Rongyao Hu, Yonggang Li
, Shichao Zhang:
Unsupervised feature selection by combining subspace learning with feature self-representation. Pattern Recognit. Lett. 109: 35-43 (2018) - [c5]Xiaofeng Zhu, Cong Lei, Hao Yu, Yonggang Li
, Jiangzhang Gan, Shichao Zhang:
Robust Graph Dimensionality Reduction. IJCAI 2018: 3257-3263 - 2017
- [c4]Yue Fang, Jilian Zhang, Shichao Zhang, Cong Lei, Xiaoyi Hu:
Supervised Feature Selection Algorithm Based on Low-Rank and Manifold Learning. ADMA 2017: 273-286 - [c3]Xiaoyi Hu, Li-e Wang, Jiaqi Tang, Cong Lei, Peng Liu, Xianxian Li:
Anonymizing approach to resist label-neighborhood attacks in dynamic releases of social networks. Healthcom 2017: 1-6 - [c2]Shichao Zhang, Cong Lei, Yue Fang, Yangding Li, Rongyao Hu, Xiaoyi Hu:
Unsupervised Feature Selection via Local Structure Learning and Self-Representation. ICBK 2017: 297-302 - [c1]Shichao Zhang, Yue Fang, Cong Lei, Yangding Li, Rongyao Hu, Yonggang Li
:
Unsupervised Spectral Feature Selection with Local Structure Learning. ICBK 2017: 303-308
Coauthor Index
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