Tianyu He

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 49 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Tianyu He trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Ilya Sutskever
  4. Geoffrey E. Hinton
  5. Dzmitry Bahdanau
  6. Rico Sennrich
  7. Jimmy Ba
  8. Alex Krizhevsky
  9. Ashish Vaswani
  10. Alex Graves

Who trusts Tianyu He overall

  1. Xu Tan
  2. Carlos Escolano
  3. Sascha Rothe
  4. Christine Basta
  5. Marta Ruiz Costa-jussà
  6. José A. R. Fonollosa
  7. Noe Casas
  8. Zihao Fu
  9. Aliaksei Severyn
  10. Felix Stahlberg

Papers from Tianyu He's perspective

Ordered by how strongly the researchers Tianyu He 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. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers