Chi-Hua Yu

Mechanical Engineering · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chi-Hua Yu trusts overall

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

  1. Sanjiv Kumar
  2. V. Deshpande
  3. David K. Johnson
  4. Phillip Isola
  5. Olaf Ronneberger
  6. Geoffrey E. Hinton
  7. Zijiang Yang
  8. Markus J. Buehler
  9. Yann LeCun
  10. Yoshua Bengio

Papers from Chi-Hua Yu's perspective

Ordered by how strongly the researchers Chi-Hua Yu 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. GENERATIVE ADVERSARIAL NETS
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers