Michael J.Q. Zhang

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 4 papers; trusts 219 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Michael J.Q. Zhang trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Ilya Sutskever
  6. Yann LeCun
  7. Kaiming He
  8. Jimmy Ba
  9. Alex Graves
  10. Radford M. Neal

Who trusts Michael J.Q. Zhang overall

  1. Yasumasa Onoe
  2. Tu Vu
  3. Xiaochuang Han
  4. Mark T. Keane
  5. Jungo Kasai
  6. Dan Hendrycks
  7. Mohit Iyyer
  8. Joel Jang

Papers from Michael J.Q. Zhang's perspective

Ordered by how strongly the researchers Michael J.Q. Zhang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers