Dianhai Yu

Artificial Intelligence · 2012–2021

A researcher in the Science corpus: 9 papers; trusts 72 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

Whom Dianhai Yu trusts overall

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

  1. Yoshua Bengio
  2. Diederik P. Kingma
  3. Jacob Devlin
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Dzmitry Bahdanau
  7. Yann LeCun
  8. Kyunghyun Cho
  9. Alex Krizhevsky
  10. L. Eon Bottou

Who trusts Dianhai Yu overall

  1. Juan R. Terven
  2. Ruiyang Ren
  3. Carlos Escolano
  4. Dan Hendrycks
  5. Wayne Xin Zhao
  6. Jordan L. Boyd-Graber
  7. Minh-Thang Luong
  8. Yingqi Qu
  9. Orhan Firat
  10. Diana-Margarita Córdova-Esparza

Papers from Dianhai Yu's perspective

Ordered by how strongly the researchers Dianhai Yu 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. Long Short-Term Memory
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers