Ming-Ching Chang

Computer Vision and Pattern Recognition · 2015–2018

A researcher in the Science corpus: 7 papers; trusts 663 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Ming-Ching Chang trusts overall

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

  1. Diederik P. Kingma
  2. Karen Simonyan
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Alex Krizhevsky
  6. Ross B. Girshick
  7. Andrew Zisserman
  8. Sepp Hochreiter
  9. Yann LeCun
  10. Yoshua Bengio

Who trusts Ming-Ching Chang overall

  1. Yuezun Li
  2. Huy Hoang Le Nguyen
  3. Luciano Floridi
  4. Xin Yang
  5. Pavel Korshunov
  6. Michael Albright
  7. Siwei Lyu
  8. Ke Sun
  9. Thanh Thi Nguyen
  10. Yucheng Luo

Papers from Ming-Ching Chang's perspective

Ordered by how strongly the researchers Ming-Ching Chang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers