Guoping Hu

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 15 papers; trusts 273 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Guoping 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. Alex Graves
  5. Alex Krizhevsky
  6. Ilya Sutskever
  7. Jimmy Ba
  8. Tomas Mikolov
  9. Yann LeCun
  10. Oriol Vinyals

Who trusts Guoping Hu overall

  1. Yiming Cui
  2. Zhuosheng Zhang
  3. Ting-Wei Liu
  4. Kai Sun
  5. Rudolf Kadlec
  6. Ondrej Bajgar
  7. Minghao Hu

Papers from Guoping Hu's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  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