Lei Wu

Artificial Intelligence · with Ma · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 35 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Lei Wu trusts overall

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

  1. Peter L. Bartlett
  2. L. Eon Bottou
  3. Yann LeCun
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Sepp Hochreiter
  7. Alex Krizhevsky
  8. Min Lin
  9. Kaiming He
  10. Diederik P. Kingma

Who trusts Lei Wu overall

  1. Zhi-Qin John Xu
  2. Charles H. Martin
  3. Zhiwei Jia
  4. Stanislaw Jastrzebski
  5. Yaoyu Zhang
  6. Michael W. Mahoney
  7. Hao Su
  8. Zhanxing Zhu
  9. Yuan Cao
  10. Frederik Kunstner

Papers from Lei Wu's perspective

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

Their papers