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current position: Faculty >> Associate Professor >> Content
Yang Zhao, Associate Professor
 

Personal Profile

     

Yang Zhao, Associate Professor

Research Direction:Action recognition, Spectral clustering
 

Contact Address: P.O. Box 64, 127 West Youyi Road, Beilin District, Xi'an 710072, Shaanxi, P.R. China

Zip Code: 710072

E-mail: zhaoyang.opt AT nwpu.edu.cn

 

Education Background

2014.9-2019.7 University of Chinese Academy of Sciences(UCAS) Information and Communication Engineering PhD (free from entrance examination for postgraduates)
2010.9-2014.7 Xidian University Software Engineering Bachelor
 

Work Experience

2019.7-2021.10 Northwestern Polytechnical University Postdoctral Research Fellow
2021.10-present Northwestern Polytechnical University Associate Professor
 

Honors

  • IEEE Best Student Paper Award

 

Academic Service

  • Guest Editor, Remote Sensing

  • Reviewers of 10+ International Journals and Transactions

 

Representative Papers

  • Y. Zhao, and X. Li, “Spectral Clustering with Adaptive Neighbors for Deep Learning,” IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2021.3105822, 2021. [PDF]

  • Y. Zhao, Y. Yuan*, F. Nie and Q. Wang, “Spectral Clustering Based on Iterative Optimization for Large-Scale and High-Dimensional Data,” Neurocomputing, vol. 318, pp. 227-235, DOI: 10.1016/j.neucom.2018.08.059, 2019. [BibTeX] | [PDF]

  • Y. Zhao,  Y. Yuan*, Q. Wang, “Fast Spectral Clustering for Unsupervised Hyperspectral Image Classification,” Remote Sensing,, vol. 11, no. 4, pp. 399, DOI: 10.3390/rs11040399, 2019. [BibTeX] | [PDF]

  • Y. Yuan*, Y. Zhao, and Q. Wang, “Action Recognition using Spatial-optical Data Organization and Sequential Learning Framework,” Neurocomputing, vol. 315, pp. 221-233, 2018.  [BibTeX] | [PDF]

  • Y. Zhao,  Q. Wang*, and Y. Yuan, “Action Recognition based on Semantic Feature Description and Cross Classification,” ChinaSIP 2014, pp. 626-630}, 2014. [BibTeX]

  • J. Su, Y. Zhao, X. Li*, “Deep Metric Learning Based On Center-Ranked Loss for Gait Recognition,” International Conference on Acoustics, Speech and Signal Processing, pp. 4077-4081, 2020. [BibTeX] | [PDF]