Tianyu Liu

Artificial Intelligence · Astrophysical Journal Letters · 2017–2024

A researcher in the Science corpus: 13 papers; trusts 148 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Tianyu Liu trusts overall

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

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

Who trusts Tianyu Liu overall

  1. Ratish Puduppully
  2. Qingyun Wang
  3. Sercan Ö. Arik
  4. Shuyang Cao
  5. Zhiyu Chen
  6. Hamidreza Shahidi
  7. Ran Tian
  8. Lucie-Aimée Kaffee
  9. Sam Wiseman
  10. Peng Wang

Papers from Tianyu Liu's perspective

Ordered by how strongly the researchers Tianyu Liu 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. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Gradient-based learning applied to document recognition
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers