Gongye Liu

Computer Vision and Pattern Recognition · 2023–2025

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gongye Liu trusts overall

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

  1. Ahmed El-Kishky
  2. Jonathan Ho
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Kaiming He
  8. John Schulman
  9. Yann LeCun
  10. Ilya Sutskever

Papers from Gongye Liu's perspective

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

Their papers