Hao Chen

Artificial Intelligence · with Feng · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hao Chen trusts overall

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

  1. Ivan Titov
  2. Binxuan Huang
  3. Jeffrey Pennington
  4. Jacob Devlin
  5. Richard Socher
  6. Diego Marcheggiani
  7. Duyu Tang
  8. Yoshua Bengio
  9. Geoffrey E. Hinton
  10. Diederik P. Kingma

Papers from Hao Chen's perspective

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

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

Their papers