个人简述:

Dr. Yupei Zhang is a assistant porfessor in School of Computer Science at Northwestern Polytechnical University. He received the Ph.D. in Computer Science and technology from Xi'an Jiaotong University, in 12/2017. His principal research insterests lie in the development of machine learning and statistical learning. And his invovled work includes, (1) sparse and low-rank representation learning; (2) LASSO and its generalizations; (3) dimensionality reduction/feature extraction; and (4) the universal model of clustering and classification . In addition, he currently devotes to applying machine learning for persionalizational teaching and learning.

科研工作:

[1] YupeiZhang, MingXiang, BoYang, Hierarchical sparse coding from a Bayesian perspective, Neurocomputing,2018, 272: 279-293.[2] YupeiZhang, MingXiang, BoYang, Graph regularized nonnegative sparse coding using incoherent dictionaryfor approximate nearest neighbor search, Pattern Recognition, 2017, 70: 75-88.[3] YupeiZhang, MingXiang, BoYang, Low-rank preserving embedding, Pattern Recognition, 2017, 70: 112-125.[4] YupeiZhang, MingXiang, BoYang, Linear dimensionality reduction based on hybrid structure preservingprojections, Neurocomputing, 2016, 173: 518-529