Hong Wang

Computer Vision and Pattern Recognition · with Meng · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hong Wang trusts overall

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

  1. Diederik P. Kingma
  2. Xueyang Fu
  3. He Zhang
  4. Zhou Wang
  5. Yu Luo
  6. Peter C. Barnum
  7. Jimmy Ba
  8. Yu Li
  9. Robby T. Tan
  10. Kaiming He

Who trusts Hong Wang overall

  1. Jie Xiao
  2. Xiang Chen
  3. Zhendong Wang
  4. Xueyang Fu
  5. Hao‐Ran Li
  6. Xiaodong Cun

Papers from Hong Wang's perspective

Ordered by how strongly the researchers Hong 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers