Tong Niu

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 5 papers; trusts 524 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Tong Niu trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Ilya Sutskever
  6. Ronald J. Williams
  7. Yann LeCun
  8. Kaiming He
  9. Christian Szegedy
  10. Alex Graves

Who trusts Tong Niu overall

  1. Hannah Rashkin
  2. Mohit Bansal
  3. Jian Xie
  4. Haochen Liu
  5. Han Xu
  6. Hui Su
  7. Eric Michael Smith
  8. Aman Madaan
  9. Ashutosh Baheti
  10. Jiaao Chen

Papers from Tong Niu's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers