Min Zhang

Artificial Intelligence · with Chen · 2018–2023

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Min Zhang trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Ian J. Goodfellow
  4. C.-C. Jay Kuo
  5. Ilya Sutskever
  6. Yann LeCun
  7. Yoshua Bengio
  8. Christian Szegedy
  9. Kaiming He
  10. Karen Simonyan

Papers from Min Zhang's perspective

Ordered by how strongly the researchers Min Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. GENERATIVE ADVERSARIAL NETS
  10. Learning Multiple Layers of Features from Tiny Images

Their papers