Minghao Hu

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 8 papers; trusts 561 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Minghao Hu trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Oriol Vinyals
  5. Sepp Hochreiter
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Richard Socher
  9. Jimmy Ba
  10. J. Urgen Schmidhuber

Who trusts Minghao Hu overall

  1. Matt Gardner
  2. Fu Sun
  3. Christopher Clark
  4. Debajyoti Chatterjee
  5. Swabha Swayamdipta
  6. Dheeru Dua
  7. Tao Shen
  8. Yi Tay
  9. Robin Jia
  10. Boyuan Pan

Papers from Minghao Hu's perspective

Ordered by how strongly the researchers Minghao Hu 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers