Tao Zhou

Computer Vision and Pattern Recognition · IEEE Transactions on Medical Imaging · 2020–2023

A researcher in the Science corpus: 6 papers; trusts 392 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Tao Zhou trusts overall

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

  1. Deng-Ping Fan
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Ross B. Girshick
  6. Ming-Ming Cheng
  7. Diederik P. Kingma
  8. Yoshua Bengio
  9. Karen Simonyan
  10. Yann LeCun

Who trusts Tao Zhou overall

  1. Deng-Ping Fan
  2. Ge-Peng Ji
  3. Amirhossein Kazerouni
  4. Md Mostafijur Rahman
  5. Xiaoqi Zhao
  6. Ming-Ming Cheng

Papers from Tao Zhou's perspective

Ordered by how strongly the researchers Tao Zhou 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. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Gradient-based learning applied to document recognition
  9. Going deeper with convolutions
  10. Long Short-Term Memory

Their papers