Hao Wu

Molecular Biology · 7 papers · 2011–2020

A researcher in the Science corpus: 7 papers; trusts 117 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

Whom Hao Wu trusts overall

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

  1. Frank No'e
  2. Diederik P. Kingma
  3. Igor Mezi'c
  4. Clarence W. Rowley
  5. Gregory R. Bowman
  6. Peter J. Schmid
  7. Robert Tibshirani
  8. Geoffrey E. Hinton
  9. Danilo Jimenez Rezende
  10. Eric R. Ziegel

Who trusts Hao Wu overall

  1. Frank No'e
  2. Andreas Mardt
  3. Steven L. Brunton
  4. Milan Korda
  5. Friedrich M. Philipp
  6. Luca Pasquali
  7. Alexandre Tkatchenko
  8. Qinsheng Zhang
  9. Cecilia Clementi
  10. Jonathan Ho

Papers from Hao Wu's perspective

Ordered by how strongly the researchers Hao Wu 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers