Wei He

Computational Mechanics · with Zhang · 2014–2016

A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Wei He trusts overall

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

  1. E.J. Candes
  2. José M. Bioucas-Dias
  3. Shen-En Qian
  4. Marian-Daniel Iordache
  5. Dimitri P. Bertsekas
  6. Michael Elad
  7. Qiangqiang Yuan
  8. Ruslan Salakhutdinov
  9. Stanley J. Osher
  10. Zhou Wang

Who trusts Wei He overall

  1. Lina Zhuang
  2. Behnood Rasti
  3. Pedram Ghamisi
  4. José M. Bioucas-Dias
  5. Paul Scheunders

Papers from Wei He's perspective

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

Their papers