Nan Hua

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nan Hua trusts overall

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

  1. Yoon Kim
  2. Sepp Hochreiter
  3. Bo Pang
  4. Geoffrey E. Hinton
  5. Tomas Mikolov
  6. Ilya Sutskever
  7. Richard Socher
  8. Yoshua Bengio
  9. J. Urgen Schmidhuber
  10. Jimmy Ba

Who trusts Nan Hua overall

  1. Di Jin
  2. Mikel Artetxe

Papers from Nan Hua's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Layer Normalization
  9. GloVe: Global Vectors for Word Representation
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers