Chengzhi Mao

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 62 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chengzhi Mao trusts overall

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

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

Who trusts Chengzhi Mao overall

  1. Tianyu Pang
  2. A. Serban
  3. Saikat Chakraborty
  4. Zekai Wang
  5. Anurag Roy
  6. Erik Poll
  7. Xiao Yang

Papers from Chengzhi Mao's perspective

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

Their papers