Songfeng Lu

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Songfeng Lu trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Seyedali Mirjalili (in Artificial Intelligence)
  2. Andrew Lewis (in Artificial Intelligence)

Papers from Songfeng Lu's perspective

Ordered by how strongly the researchers Songfeng Lu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Going deeper with convolutions
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
  5. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
  6. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
  7. Xception: Deep Learning with Depthwise Separable Convolutions
  8. Dimensionality reduction using genetic algorithms (IEEE Transactions on Evolutionary Computation)
  9. Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks (Physical and Engineering Sciences in Medicine)
  10. Gene Selection for Cancer Classification using Support Vector Machines

Their papers