Minwei Feng

Artificial Intelligence · 2015–2017

A researcher in the Science corpus: 4 papers; trusts 36 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Minwei Feng trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Yann LeCun
  4. Alex Krizhevsky
  5. Yoon Kim
  6. Richard Socher
  7. Ilya Sutskever
  8. Tomas Mikolov
  9. Alex Graves
  10. Diederik P. Kingma

Who trusts Minwei Feng overall

  1. Ming Tan
  2. C. D. Santos
  3. Qian Chen
  4. Xiangru Lian
  5. Bing Xiang
  6. Tomasz Jurczyk
  7. Shuohang Wang
  8. Bingning Wang
  9. Charles Jochim
  10. Han-Jia Ye

Papers from Minwei Feng's perspective

Ordered by how strongly the researchers Minwei Feng 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. Long Short-Term Memory
  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. Learning Multiple Layers of Features from Tiny Images
  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