Chengfeng Mao

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chengfeng Mao trusts overall

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

  1. Amir Zadeh
  2. Louis-philippe Morency
  3. Percy Liang
  4. Diederik P. Kingma
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Sepp Hochreiter
  8. Alex Krizhevsky
  9. Ilya Sutskever
  10. Kaiming He

Papers from Chengfeng Mao's perspective

Ordered by how strongly the researchers Chengfeng Mao 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers