Xiaohan Ding

Computer Vision and Pattern Recognition · with Li · 2023–2025

A researcher in the Science corpus: 3 papers; trusts 170 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaohan Ding trusts overall

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

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

Papers from Xiaohan Ding's perspective

Ordered by how strongly the researchers Xiaohan Ding 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. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers