Kun Zhou

Materials Chemistry · International Conference on Information and Knowledge Management · 2013–2023

A researcher in the Science corpus: 38 papers; trusts 329 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Kun Zhou trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Kaiming He
  5. Ilya Sutskever
  6. Alex Krizhevsky
  7. Jimmy Ba
  8. Yann LeCun
  9. Oriol Vinyals
  10. Alex Graves

Who trusts Kun Zhou overall

  1. Yupeng Hou
  2. Junliang Yu
  3. Bowen Zheng
  4. Wayne Xin Zhao
  5. Minki Kang
  6. Rui Liu
  7. Ji-rong Wen
  8. Hongzhi Yin
  9. Le Wu
  10. Shanlei Mu

Papers from Kun Zhou's perspective

Ordered by how strongly the researchers Kun 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers