Minghui Wu

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Minghui Wu trusts overall

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

  1. Glen Jeh
  2. Yoshua Bengio
  3. Ilya Sutskever
  4. Sepp Hochreiter
  5. Geoffrey E. Hinton
  6. Quoc V. Le
  7. J. Urgen Schmidhuber
  8. Diederik P. Kingma
  9. Alex Krizhevsky
  10. Bryan Perozzi

Papers from Minghui Wu's perspective

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

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers