Hongzi Mao

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 7 papers; trusts 59 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Hongzi Mao trusts overall

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

  1. Richard S. Sutton
  2. Radford M. Neal
  3. Ronald J. Williams
  4. Volodymyr Mnih
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Andrew Barto
  8. David Silver
  9. Diederik P. Kingma
  10. Xavier Glorot

Who trusts Hongzi Mao overall

  1. Nguyen Cong Luong
  2. Sheng-Chun Kao
  3. Haonan Wang
  4. Xinyun Chen
  5. Chaoyun Zhang
  6. Mingmin Zhao
  7. Anis Elgabli
  8. Feng Qian
  9. Abdelhak Bentaleb
  10. Fatima Hussain

Papers from Hongzi Mao's perspective

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

Their papers