Zhang Qian
  • Educational level:

  • Professional titles: Lecturer

  • Telephone:075526538957

  • Email:mazhangq@szu.edu.cn

  • Address:Room 413,Huixing Building

Educational level Professional titles Lecturer
Professional titles 075526538957 Email mazhangq@szu.edu.cn
Address Room 413,Huixing Building Personal Profile
Educational experience Work experience
Research Field Signal processing, numerical calculation Honors obtained
Academic Programs Scientific research [1]Qian Zhang, Chao Huang, Lihua Yang, Zhihua Yang, Salt and pepper noise removal method based on graph signal reconstruction, Digital Signal Processing,  vol 135, 2023;    
[2]Zhihua Yang, Zhonghui Kuang, Lihua Yang, Qian Zhang,  A recommendation prediction method based on the estimation of PSD of sampled signals on graph,  Expert Systems with Applications, vol 201, 2022;  
[3]Zhihua Yang, Guangrui Yang, Lihua Yang, Qian Zhang,  Areconstruction method for graph signals based on the power spectral density estimation,  Digital Signal Processing, vol 122, 2022;  
[4]Zhihua Yang, Feng Zhou, Lihua Yang, Qian Zhang, A new prediction method for recommendation system based on sampling reconstruction of signal on graph, Expert Systems with Applications, vol 159, 2020.

Personal Profile

He works in the Department of Information and Computing Science, School of Mathematics and statistics, Shenzhen University in Signal Processing and numerical computation.

Educational experience

Work experience

Research Field

  • Signal processing, numerical calculation

Honors obtained

Academic Programs

Scientific research

  • [1]Qian Zhang, Chao Huang, Lihua Yang, Zhihua Yang, Salt and pepper noise removal method based on graph signal reconstruction, Digital Signal Processing, vol 135, 2023; [2]Zhihua Yang, Zhonghui Kuang, Lihua Yang, Qian Zhang, A recommendation prediction method based on the estimation of PSD of sampled signals on graph, Expert Systems with Applications, vol 201, 2022; [3]Zhihua Yang, Guangrui Yang, Lihua Yang, Qian Zhang, Areconstruction method for graph signals based on the power spectral density estimation, Digital Signal Processing, vol 122, 2022; [4]Zhihua Yang, Feng Zhou, Lihua Yang, Qian Zhang, A new prediction method for recommendation system based on sampling reconstruction of signal on graph, Expert Systems with Applications, vol 159, 2020.
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