Yaoming Zhu

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 31 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Yaoming Zhu trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Ronald J. Williams
  4. Geoffrey E. Hinton
  5. Dzmitry Bahdanau
  6. Jimmy Ba
  7. Ilya Sutskever
  8. Kyunghyun Cho
  9. Alex Krizhevsky
  10. Sepp Hochreiter

Who trusts Yaoming Zhu overall

  1. Xingyuan Chen
  2. Alex Wang
  3. Sean Welleck
  4. Jaemin Cho
  5. Peter West
  6. Lukas Hedegaard
  7. Zeyu Han
  8. Lingling Xu
  9. Tongshuang Sherry Wu
  10. Junyi Li

Papers from Yaoming Zhu's perspective

Ordered by how strongly the researchers Yaoming Zhu 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. 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers