- Feature Extraction
- Manifold Learning
- Sparse Representation
- Low-rank Representation
- Face Recognition
Principal investigator of the following projects:
- Low-rank representation based robust feature extraction and classification methods, National Natural Science Foundation of China (2016-2018)
- Low-rank decomposition based robust image recognition, Natural Science Foundation of Jiangsu Province (2015-2017)
- Feature extraction based on deep learning, Natural Science Research of Jiangsu Higher Education Institutions (2014-2016)
- Research on robust feature extraction and classification under uncontrolled environment, Key Laboratory of Image and Video Understanding for Social Safety, Nanjing University of Science and Technology (2016-2017)
- Research on classification oriented feature extraction. High-level Scientific Research Foundation for the introduction of talent (2013-2015)
- Teaching exploration of ERP based on computer simulation, Nanjing Normal University teaching reform project (2014-2016)
- Nanjing Normal University Qing Lan Project (2016-2019).
Collaborator of the following projects:
- Incremental Semi-supervised Learning Algorithms for Big Data Stream, Natural Science Research of Jiangsu Higher Education Institutions (2015-2017).
- Exploiting relationship between attributes for improved attribute learning and further applications, Natural Science Research of Jiangsu Higher Education Institutions (2015-2017).
Yi Chen, Zhong Jin. Reconstructive Discriminant Analysis: A Feature Extraction Method Induced from Linear Regression Classification, Neurocomputing. 2012, 87:( 41-50). (SCI)
Yi Chen, Jun Yi, Jie Zhu, Zhong Jin. Dimensionality Reduction via Locally Reconstructive Patch Alignment, Optical Engineering. 51(7):397-407. (SCI)
Yi Chen, Zhenzhen Li, Zhong Jin. Feature Extraction Based on Maximum Nearest Subspace Margin Criterion, Neural Processing Letters. 2013, 37(3): 1-21. (SCI)
Zhihui Lai, Cairong Zhao, Yi Chen, Zhong Jin. Maximal local interclass embedding with application to face recognition. Machine vision and applications, 2011, 22(4): 619-627 (SCI)
Yi Chen, et al. Wavelet energy entropy and linear regression classifier for detecting abnormal breasts. Multimedia Tools and Applications, 2016: 1-20(SCI).
Yi Chen, et al. Sensorineural hearing loss detection via discrete wavelet transform and principal component analysis combined with generalized eigenvalue proximal support vector machine and Tikhonov regularization. Multimedia Tools and Applications, 2016: 1-19(SCI).
Yi Chen, et al. A feature-free 30-Disease Pathological Brain Detection System by Linear Regression Classifier. CNS & neurological disorders drug targets, 2016(SCI).
Indoor Location Technique Based on sparse representation, 2015, Beijing: People’s Publishing House.