Chen Zhang

Artificial Intelligence · with Liu · 2020–2023

A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Chen Zhang trusts overall

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

  1. Alex Graves
  2. Diederik P. Kingma
  3. Cassia Valentini-Botinhao
  4. Geoffrey E. Hinton
  5. Alex Auvolat
  6. Yoshua Bengio
  7. Aäron van den Oord
  8. Ashish Vaswani
  9. Jimmy Ba
  10. Alex Krizhevsky

Who trusts Chen Zhang overall

  1. Ye Jia
  2. Xu Tan
  3. Xinjian Li
  4. Li-Wei Chen
  5. Sander Dieleman
  6. Ann Lee
  7. Qianqian Dong
  8. Changhan Wang
  9. Tao Qin
  10. Michelle Tadmor Ramanovich

Papers from Chen Zhang's perspective

Ordered by how strongly the researchers Chen Zhang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers