Y. Zhang

Artificial Intelligence · IEEE Transactions on Automatic Control · 2003–2019

A researcher in the Science corpus: 20 papers; trusts 151 researchers and is trusted by 53 researchers here, as inferred from the citation graph.

Subfields

Whom Y. Zhang trusts overall

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

  1. Alex Graves
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Ilya Sutskever
  6. Sepp Hochreiter
  7. J. Urgen Schmidhuber
  8. Yann LeCun
  9. Abdel-rahman Mohamed
  10. Alex Krizhevsky

Who trusts Y. Zhang overall

  1. Nahla H. Barakat
  2. Takaaki Hori
  3. Andrew P. Bradley
  4. Mirco Ravanelli
  5. Yoshua Bengio
  6. Guoqiang Mao
  7. Julian Salazar
  8. Pratik K. Biswas
  9. Titouan Parcollet
  10. Yoonho Boo

Papers from Y. Zhang's perspective

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

Their papers