张育培


的个人主页 http://teacher.nwpu.edu.cn/ypzhang

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基本信息 The basic information

张育培

计算机学院

博士研究生毕业

工学博士

讲师(高校)

计算机科学与技术-计算机软件与理论

综合介绍 General Introduction

Dr. Yupei Zhang is an assistant porfessor in School of Computer Science at Northwestern Polytechnical University. He received the doctor degree 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) lassso and its generalizations, (3) dimensionality reduction/feature extraction, and (4) the universal model of clustering and classification. In addition, he currently devotes to applying and developing novel machine learning methods for personalized teaching and learning, such as cognitive diagnose, grade prediction, academic early warning and student classification.

教育教学 Education And Teaching

FEATURED COURSES

Machine Learning - Theory, Technology and Practice (building)


OTHER COURSES

+ Fall, 2018. Program Design in C - Theory (English), 48 class hours, No. U10G12030.01, International Class 2018, 47 Students. [More]

+ Fall, 2018. Program Design in C - Experiment (English), 32 class hours, No. U10G22031.01, International Class 2018, 48 Students. [More]

科学研究 Scientific Research

Welcome the motivated students that are good at Mathematics and Computer Science to OUR LAB led by professor Shang.


GROUP-Machine Learning in Education (MLE) -@-DMBL

Xuequn Shang, Professor
Yupei Zhang, Assistant professor
Huan Dai, Ph.D. student (2018- )
Jiaqi Cui, Ph.D. student (2017- )
Yue Yun, Visiting student (2018-)


FUNDING

+ Research on Structured Sparse Representation Method for the Problem of Personalized Teaching and Learning

   The National Natural Science Foundation of China, No. 61802313, 2019-2021, 260K, PI

+ Machine Learning and Intelligentized Education

   The Innovative Educational Practices of Graduate School of NWPU, No. 18GZ040113, 2018-2019, 30K, PI

+ Structured Sparse Representation Method for Cognitive Diagnose and Grade Prediction

   The Fundamental Research Funds for the Central Universities, No. G2018KY0301, 2018-2020, 150K, PI

学术成果 Academic Achievements

  1. [4] Yupei Zhang, Ming Xiang, and Bo Yang, Hierarchical sparse coding from a Bayesian perspective, Neurocomputing, 2018, 272: 279-293.
  2. [3] Yupei Zhang, Ming Xiang, and Bo Yang, Graph regularized nonnegative sparse coding using incoherent dictionary for approximate nearest neighbor search, Pattern Recognition, 2017, 70: 75-88.
  3. [2] Yupei Zhang, Ming Xiang, and Bo Yang, Low-rank preserving embedding, Pattern Recognition, 2017, 70: 112-125.
  4. [1] Yupei Zhang, Ming Xiang, and Bo Yang, Linear dimensionality reduction based on hybrid structure preserving projections, Neurocomputing, 2016, 173: 518-529.
  5. ... ...
  6. More Papers and Codes:--http://www.escience.cn/people/yupeizhang/index.html
  7. Google Scholar:  https://scholar.google.com.hk/citations?user=shTTzw0AAAAJ&hl=zh-CN  
  8. Recent Activities:  http://www.escience.cn/people/yupeizhang/activity.html