Mingyuan Zhou

Artificial Intelligence · International Conference on Learning Representations · 2011–2022

A researcher in the Science corpus: 8 papers; trusts 593 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Mingyuan Zhou 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. Alex Krizhevsky
  6. Ruslan Salakhutdinov
  7. Radford M. Neal
  8. Yoshua Bengio
  9. Yann LeCun
  10. Kaiming He

Who trusts Mingyuan Zhou overall

  1. Hao Wang
  2. Prem Gopalan
  3. Dit-Yan Yeung
  4. Artem Sobolev
  5. Changwei Hu
  6. Ricardo Henao
  7. Rahul Aralikatte
  8. Ajit Rajwade
  9. G. Yu
  10. Joakim Skarding

Papers from Mingyuan Zhou's perspective

Ordered by how strongly the researchers Mingyuan Zhou 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers