Qinfeng Gao

Artificial Intelligence · 2006–2020

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qinfeng Gao trusts overall

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

  1. H. Yokoyama
  2. A. Mazzola
  3. J. Ross Quinlan

Papers from Qinfeng Gao's perspective

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

  1. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Visualizing and Understanding Convolutional Networks
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers