Hong Wang

Artificial Intelligence · with Wang · 2019–2022

A researcher in the Science corpus: 8 papers; trusts 257 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Hong Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Yann LeCun
  6. Ilya Sutskever
  7. Sepp Hochreiter
  8. Kaiming He
  9. Alex Graves
  10. J. Urgen Schmidhuber

Who trusts Hong Wang overall

  1. Xisen Jin
  2. Yanzhe Zhang
  3. Vaibhav Varshney
  4. Abiola Obamuyide
  5. Zhuang Li
  6. Kang Zhao
  7. Cyprien de Masson d'Autume
  8. Pengfei Cao
  9. Pankaj Gupta
  10. Yufan Huang

Papers from Hong Wang's perspective

Ordered by how strongly the researchers Hong 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  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