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Qifan Liu

Qifan Liu

Postdoctoral Researchers

Postdoctoral Researchers Postdoc completed

Qifan Liu is a former postdoctoral researcher of the lab and now works at Shenzhen Polytechnic University.

Research Interests

  • Machine Learning
  • Computer Vision
  • Few-shot Learning
  • Large Model

Paper

  • Liu Q, Zhao Z, Cao W, et al. Residual proportion multilayer perceptron for few-shot classification[C]//2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW). IEEE, 2021: 1-6.
  • Liu Q, Cao W. Geometric algebra graph neural network for cross-domain few-shot classification[J]. Applied Intelligence, 2022, 52(11): 12422-12435.
  • Zhao Z, Liu Q, Cao W, et al. Self-guided information for few-shot classification[J]. Pattern Recognition, 2022, 131: 108880.
  • Liu Q, Chen Y, Cao W. Dual-domain reciprocal learning design for few-shot image classification[J]. Neural Computing and Applications, 2023: 1-14.
  • Liu Q, Cao W, He Z. Cycle Optimization Metric Learning for Few-Shot Classification[J]. Pattern Recognition, 2023: 109468.
  • Zhang R, Liu Q. Learning with few samples in deep learning for image classification, a mini-review[J]. Frontiers in Computational Neuroscience, 2023.

Patent

  • Vehicle detection method, device and computer-readable storage medium, He Zhiquan, Liu Qifan, Cao Wenming, patent number: ZL 2019 1 0029834.8
  • Progressive deep convolutional network image recognition method and device based on wavelet transform, He Zhiquan, Cao Wenming, Liu Qifan, patent number: ZL 2019 1 0783600.2
  • Compression transmission method, system and computer-readable storage medium for image data, He Zhiquan, Cao Wenming, Liu Qifan, patent number: ZL 2019 1 0811971.7
  • An OCR recognition method and device based on deep neural network, Cao Wenming, Liu Qifan, He Zhiquan, patent number: ZL 2019 1 0904514.2

Education

  • Department of Electronics and Electrical Engineering/Postdoctoral, From 2023 (postdoctoral appointment completed)
    Southern University of Science and Technology
  • Information and Communication Engineering/Ph.D., 2020-2023
    shenzhen university
  • Integrated Circuit Engineering/Master, 2017-2020
    shenzhen university
  • Electronics and Information Engineering/Bachelor, 2013-2017
    Gannan Normal University