Education

Ph.D., Image and Signal Processing, INSA-Rennes, France, 2014.

M.E., Communication and Information and  System, Shandong University, 2010.

B.E., Electronic and Information Engineering, Shandong University, 2007.

Research Interests

Research interets include signal processing and machine learning.  Currently, we focus on the analysis, construction, and quantification of deep neural networks, particularly through the lens of compressive sensing, random projection, and statistical theories. Our objective is to design  models that are both theoretically interpretable and computationally efficient.

Prospective Students:  We are looking for students with interests in both foundational machine learning  research and its applications to scientific problems. Contact: wzlu@sdu.edu.cn

Recent Papers

• Binary and Ternary Quantization Can Enhance Feature Discrimination

  Weizhi Lu, Mingrui Chen, and Weiyu Li. 

  arXiv, 2025.

• The Sparse Matrix-Based Random Projection: A Study of Binary and Ternary Quantization

  Weizhi Lu, Zhongzheng Li and Mingrui Chen and Weiyu Li

  Transactions on Machine Learning Research (TMLR), 2025.