Hai Wang

Artificial Intelligence · with McAllester · 2015–2020

A researcher in the Science corpus: 5 papers; trusts 113 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Hai Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alec Radford
  4. Diederik P. Kingma
  5. Ilya Sutskever
  6. Kaiming He
  7. Alex Krizhevsky
  8. Jason Aaron Edward Weston
  9. Sepp Hochreiter
  10. Yann LeCun

Who trusts Hai Wang overall

  1. Bhuwan Dhingra
  2. Caiming Xiong
  3. Mandar Joshi
  4. Haichao Zhu
  5. Zhiguo Wang
  6. Xiaoyang Wang
  7. Ryan Musa
  8. Nafise Sadat Moosavi
  9. Adam Trischler
  10. Vikas Yadav

Papers from Hai Wang's perspective

Ordered by how strongly the researchers Hai Wang 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. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  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. 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