Bin Zhu

Computer Vision and Pattern Recognition · Conference on Empirical Methods in Natural Language Processing · 2023–2024

A researcher in the Science corpus: 3 papers; trusts 173 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bin Zhu 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. Yoshua Bengio
  6. Diederik P. Kingma
  7. Karen Simonyan
  8. Ilya Sutskever
  9. Yann LeCun
  10. Andrew Zisserman

Who trusts Bin Zhu overall

  1. Bin Lin
  2. Peng Jin

Papers from Bin Zhu's perspective

Ordered by how strongly the researchers Bin Zhu 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers