Yongming Huang

Electrical and Electronic Engineering · 2017–2020

A researcher in the Science corpus: 4 papers; trusts 91 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yongming Huang trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Ahmed Alkhateeb
  4. Zhiguo Ding
  5. Robert W. Heath
  6. Akbar M. Sayeed
  7. Alex Krizhevsky
  8. Geoffrey E. Hinton
  9. Linglong Dai
  10. Jifeng Dai

Papers from Yongming Huang's perspective

Ordered by how strongly the researchers Yongming Huang 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers