About me

I’m an algorithm engineer in xiaobing, which is a company with an AI-driven affective computing framework.

I was employed as a software enginee by Moqi, which is a company researching in biometrics.

I was employed by Orbbec as a software enginee, which is a company researching in 3D sensing.

I received my Master’s degree in the school of computer science, NorthWestern Polytechnical University(NWPU), Xi’an, China , under the supervision of Prof. WeiWei and Prof. ZhangLei.

I received my Bachelor’s degree in the school of computer science, NorthWestern Polytechnical University(NWPU), Xi’an, China.

Research

My research intersets mainly lie in machine learning, especial in deep learning and computer vision, but also in traditional methods.

Indeed, my works focus on hyperspectral image processing, the field of insufficient and missing labels, in semi-supervised learning and few-shot learning.

Right now, I’m working on biometric-related field, solving large-scale matching tasks on gpu.

Publications

  1. Improving Hyperspectral Image Classification with Unsupervised Knowledge Learning. $\textbf{Zhang Jinyang}$, Wei Wei, Zhang Lei, et al. IEEE International Geoscience and Remote Sensing Symposium(IGARSS). IEEE, 2019: 2722-2725.
  2. Learning Discriminative Compact Representation for Hyperspectral Imagery Classification. Zhang Lei, $\textbf{Zhang Jinyang}$, Wei Wei, et al. IEEE Transactions on Geoscience and Remote Sensing(TGRS), 2019, 57(10): 8276-8289.
  3. Deep cube-pair network for hyperspectral imagery classification. Wei Wei, $\textbf{Zhang Jinyang}$, Zhang Lei, et al. Remote Sensing, 2018, 10(5): 783.
  4. Data-specific Activation Function Learning for Hyperspectral Image Classification. Yu Li, Wei Wei, $\textbf{Zhang Jinyang}$, Lei Zhang, et al. International Conference on Orange Technology (ICOT), 2019
  5. Fast-convergent fully connected deep learning model using constrained nodes input. Chen Ding,Ying Li,Lei Zhang,$\textbf{Jinyang Zhang}$,Lu Yang, et al. Neural Processing Letters, 2019, 49(3): 995-1005.
  6. Boosting Hyperspectral Image Classification With Unsupervised Feature Learning. Wei Wei, Songzheng Xu, Lei Zhang, $\textbf{Zhang Jinyang}$, Yanning Zhang. IEEE Transactions on Geoscience and Remote Sensing(TGRS), 2021, 0196-2892

Honors and Awards

  • Outstanding Graduate Student of 2020, School of Computer Science, Northwestern Polytechnical University
  • ASUS National Excellent Volunteer for College Students

For more info

More info about me can be found in CV.