Daniel Y. Fu

Artificial Intelligence · with R'e · 2022–2023

A researcher in the Science corpus: 4 papers; trusts 68 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Y. Fu trusts overall

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

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

Who trusts Daniel Y. Fu overall

  1. Tri Dao
  2. Songlin Yang
  3. Yutao Sun
  4. Michael Poli
  5. Yi Wang
  6. Amirkeivan Mohtashami
  7. Cheng-Ping Hsieh
  8. Kunchang Li
  9. Li Dong
  10. Philipp Lindenberger

Papers from Daniel Y. Fu's perspective

Ordered by how strongly the researchers Daniel Y. Fu 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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers