Mingzhang Yin

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 169 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Mingzhang Yin trusts overall

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

  1. Diederik P. Kingma
  2. David M. Blei
  3. Michael I. Jordan
  4. Geoffrey E. Hinton
  5. Ruslan Salakhutdinov
  6. Radford M. Neal
  7. Yoshua Bengio
  8. Alex Krizhevsky
  9. Danilo Jimenez Rezende
  10. Rajesh Ranganath

Who trusts Mingzhang Yin overall

  1. Artem Sobolev
  2. Joakim Skarding
  3. Dmitry Molchanov
  4. Dmitry P. Vetrov
  5. Han-Jia Ye
  6. Randy Ardywibowo
  7. Janarthanan Rajendran
  8. Tianhe Yu
  9. Momin Abbas
  10. Bogdan Gabrys

Papers from Mingzhang Yin's perspective

Ordered by how strongly the researchers Mingzhang Yin 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  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. GENERATIVE ADVERSARIAL NETS

Their papers