Haiquan Wang

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 6 papers; trusts 200 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Haiquan Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Jimmy Ba
  4. Ross B. Girshick
  5. Yoshua Bengio
  6. Richard Socher
  7. R. Caruana
  8. Alex Krizhevsky
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts Haiquan Wang overall

  1. Hassan Sajjad
  2. Zhuohan Li
  3. Fahim Dalvi
  4. Lin Wang

Papers from Haiquan Wang's perspective

Ordered by how strongly the researchers Haiquan 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