Hua Wang

Computational Mechanics · with Huang · 2011–2013

A researcher in the Science corpus: 8 papers; trusts 59 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Hua Wang trusts overall

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

  1. Chris H. Q. Ding
  2. Robert Tibshirani
  3. Julien Mairal
  4. Feiping Nie
  5. Michael I. Jordan
  6. Francis R. Bach
  7. E.J. Candes
  8. Rohan Shah
  9. Andrew Y. Ng
  10. Thorsten Joachims

Who trusts Hua Wang overall

  1. Amir Shahroudy
  2. Feiping Nie
  3. Tian-Tsong Ng
  4. Jie Gui
  5. Han-Jia Ye
  6. Heng Huang
  7. Yu Zhang
  8. G. Wang
  9. Xiatian Zhu
  10. Zhenan Sun

Papers from Hua Wang's perspective

Ordered by how strongly the researchers Hua 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. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  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