Lanqing Hong

Computer Vision and Pattern Recognition · 2020–2022

A researcher in the Science corpus: 10 papers; trusts 1,047 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Lanqing Hong trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Yoshua Bengio
  5. Ross B. Girshick
  6. Diederik P. Kingma
  7. Yann LeCun
  8. Ilya Sutskever
  9. Andrew Zisserman
  10. Karen Simonyan

Who trusts Lanqing Hong overall

  1. Liyuan Wang
  2. Da-Wei Zhou
  3. Xingxing Zhang
  4. Shipeng Yan

Papers from Lanqing Hong's perspective

Ordered by how strongly the researchers Lanqing Hong 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers