Meng Fang

Artificial Intelligence · with Tao · 2015–2021

A researcher in the Science corpus: 6 papers; trusts 117 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Meng Fang trusts overall

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

  1. Geoffrey E. Hinton
  2. Andreas Maurer
  3. David John Cameron MacKay
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Peter Auer
  7. Diederik P. Kingma
  8. Yoav Freund
  9. Nicolò Cesa-Bianchi
  10. Ilya Sutskever

Who trusts Meng Fang overall

  1. Tabish Rashid
  2. Yu Zhang
  3. Siyuan Wang

Papers from Meng Fang's perspective

Ordered by how strongly the researchers Meng Fang 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers