Yucheng Tang

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 4 papers; trusts 121 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yucheng Tang trusts overall

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

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

Who trusts Yucheng Tang overall

  1. Fahad Shamshad
  2. Fabian Isensee
  3. Xiangde Luo
  4. Salman Hameed Khan

Papers from Yucheng Tang's perspective

Ordered by how strongly the researchers Yucheng Tang 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers