Runtian Zhai

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Runtian Zhai trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Ian J. Goodfellow
  5. Yann LeCun
  6. Christian Szegedy
  7. Yoshua Bengio
  8. Diederik P. Kingma
  9. Thorsten Joachims
  10. Ilya Sutskever

Who trusts Runtian Zhai overall

  1. Eric Wong
  2. Anqi Mao
  3. Qizhe Xie
  4. Tao Bai
  5. Yao-Yuan Yang
  6. Yair Carmon
  7. Jiadong Lin
  8. Sven Gowal
  9. Aditi Raghunathan
  10. Tianlong Chen

Papers from Runtian Zhai's perspective

Ordered by how strongly the researchers Runtian Zhai 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers