Yue Zhao

Artificial Intelligence · ACM Computing Surveys · 2019–2022

A researcher in the Science corpus: 6 papers; trusts 306 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Yue Zhao trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Kaiming He
  6. Yann LeCun
  7. Bernhard Schölkopf
  8. Hans-Peter Kriegel
  9. Ilya Sutskever
  10. Radford M. Neal

Who trusts Yue Zhao overall

  1. Sanjay Krishnan
  2. Songqiao Han
  3. Zheng Li
  4. Xiyang Hu
  5. Zhuohang Li
  6. Hongzuo Xu
  7. Eugene Wu
  8. Hailiang Huang
  9. Jiaxin Zhang
  10. Guansong Pang

Papers from Yue Zhao's perspective

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

Their papers