Jinhua Zhu

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 52 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jinhua Zhu trusts overall

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

  1. Diederik P. Kingma
  2. Rico Sennrich
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Guillaume Lample
  8. Jimmy Ba
  9. Kyunghyun Cho
  10. Quoc V. Le

Who trusts Jinhua Zhu overall

  1. Jing Zhang
  2. Freda Shi
  3. Asa Cooper Stickland
  4. Raphael Shu
  5. Surangika Ranathunga
  6. Julian Salazar
  7. Sufeng Duan
  8. Yu Li
  9. Shuai Peng
  10. Junyi Li

Papers from Jinhua Zhu's perspective

Ordered by how strongly the researchers Jinhua Zhu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers