Tian Zhou

Artificial Intelligence · 2022–2023

A researcher in the Science corpus: 5 papers; trusts 78 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Tian Zhou trusts overall

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

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

Who trusts Tian Zhou overall

  1. Zhijian Xu
  2. Abhimanyu Das
  3. Nate Gruver
  4. Si Chen
  5. Mononito Goswami
  6. Yunhao Zhang
  7. Hao Xue
  8. Ailing Zeng
  9. Yuqi Nie
  10. Qingsong Wen

Papers from Tian Zhou's perspective

Ordered by how strongly the researchers Tian 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  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