Shunzheng Yu

Artificial Intelligence · 2010

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

Subfields

Whom Shunzheng Yu trusts overall

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

  1. Lawrence R. Rabiner
  2. Zoubin Ghahramani
  3. Haikady N. Nagaraja

Who trusts Shunzheng Yu overall

  1. Silvia Chiappa
  2. Emmanuel Hadoux
  3. Christopher F. H. Nam
  4. David B. Springer
  5. Xiaosheng Si
  6. A. Franks
  7. Takayuki Osa
  8. Robert X. Gao
  9. Aurélie Beynier
  10. John A. D. Aston

Papers from Shunzheng Yu's perspective

Ordered by how strongly the researchers Shunzheng Yu 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. A tutorial on hidden Markov models and selected applications in speech recognition
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers