Lei Wang

Materials Chemistry · Advances in Materials · 2006–2021

A researcher in the Science corpus: 16 papers; trusts 59 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Lei Wang trusts overall

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

  1. Radford M. Neal
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. David John Cameron MacKay
  5. Yoshua Bengio
  6. Jimmy Ba
  7. Yann LeCun
  8. Alex Krizhevsky
  9. Brian Swingle
  10. Xiao-Liang Qi

Who trusts Lei Wang overall

  1. Arthur Douillard
  2. Hao Wu
  3. Linfeng Zhang
  4. Jonas Köhler
  5. K. Dimos
  6. Toan Q. Nguyen

Papers from Lei Wang's perspective

Ordered by how strongly the researchers Lei Wang 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers