Leo H. Chiang

Control and Systems Engineering · 2000–2019

A researcher in the Science corpus: 6 papers; trusts 1 researcher and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Leo H. Chiang trusts overall

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

  1. S. Qin
  2. Olvi L. Mangasarian
  3. Yuh-Jye Lee

Who trusts Leo H. Chiang overall

  1. Shen Yin
  2. Steven X. Ding
  3. Qingchao Jiang
  4. Jianping Ma
  5. Enrico Zio
  6. Manabu Kano
  7. S. Qin
  8. Jie Yu
  9. Khaoula Tidriri
  10. Hao Luo

Papers from Leo H. Chiang's perspective

Ordered by how strongly the researchers Leo H. Chiang 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Learning Multiple Layers of Features from Tiny Images
  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. ImageNet: A large-scale hierarchical image database
  10. Going deeper with convolutions

Their papers