Shengkui Zhao

Signal Processing · 2014–2022

A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shengkui Zhao trusts overall

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

  1. Alex Graves
  2. Eliya Nachmani
  3. Yoshua Bengio
  4. Jean-Marc Valin
  5. Yuxuan Wang
  6. Lior Wolf
  7. Mirco Ravanelli
  8. Geoffrey E. Hinton
  9. Donald S. Williamson
  10. Yaniv Taigman

Papers from Shengkui Zhao's perspective

Ordered by how strongly the researchers Shengkui Zhao 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers