Zhengyi Luo

Computer Vision and Pattern Recognition · 2023–2024

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhengyi Luo trusts overall

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

  1. Xue Bin Peng
  2. John Schulman
  3. Naureen Mahmood
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Pieter Abbeel
  7. Diederik P. Kingma
  8. Alex Krizhevsky
  9. Sergey Levine
  10. Kaiming He

Papers from Zhengyi Luo's perspective

Ordered by how strongly the researchers Zhengyi Luo 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers