Hao Wang

Biomedical Engineering · with He · 2014–2021

A researcher in the Science corpus: 8 papers; trusts 17 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Hao Wang trusts overall

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

  1. Kaiming He
  2. Baoguang Shi
  3. Ross B. Girshick
  4. Xiang Bai
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Cong Yao
  8. Tsung-Yi Lin
  9. Shaoqing Ren
  10. Karen Simonyan

Who trusts Hao Wang overall

  1. Qiongfeng Shi
  2. Long Liu

Papers from Hao Wang's perspective

Ordered by how strongly the researchers Hao 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. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers