Hang Chu

Computer Vision and Pattern Recognition · 2016–2021

A researcher in the Science corpus: 3 papers; trusts 200 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Hang Chu trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Kaiming He
  5. Alex Krizhevsky
  6. J. Urgen Schmidhuber
  7. Yann LeCun
  8. Ilya Sutskever
  9. Andrej Karpathy
  10. Karen Simonyan

Who trusts Hang Chu overall

  1. Hao-Wen Dong
  2. Li-Chia Yang
  3. Wen-Yi Hsiao
  4. Jian Wu
  5. Yi-Hsuan Yang
  6. Ian Simon
  7. Szu-Yu Chou
  8. Ajay Jain
  9. Changran Hu
  10. Ben Poole

Papers from Hang Chu's perspective

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

Their papers