Shanshan Zhang

Artificial Intelligence · with Bai · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shanshan Zhang trusts overall

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

  1. Diederik P. Kingma
  2. Edward Choi
  3. Mike Schuster
  4. Kyunghyun Cho
  5. Yoshua Bengio
  6. Geoffrey E. Hinton
  7. Jimmy Ba
  8. Ying Sha
  9. Narges Razavian
  10. Ashish Vaswani

Papers from Shanshan Zhang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers