Bin Zhou

Artificial Intelligence · with Liu · 2010–2020

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bin Zhou trusts overall

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

  1. Diederik P. Kingma
  2. William W. Cohen
  3. Alec Radford
  4. Arthur Le Guennec
  5. Jimmy Ba
  6. Pranav Rajpurkar
  7. Geoffrey E. Hinton
  8. Luke Metz
  9. Simon Malinowski
  10. Yoshua Bengio

Who trusts Bin Zhou overall

  1. Qingsong Wen
  2. Jiehui Xu
  3. Kukjin Choi
  4. Yiyuan Yang
  5. Astha Garg
  6. Liang Sun
  7. Haixu Wu
  8. Jihun Yi

Papers from Bin Zhou's perspective

Ordered by how strongly the researchers Bin Zhou trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Their papers