Shipeng Yu

Artificial Intelligence · 2003–2014

A researcher in the Science corpus: 9 papers; trusts 31 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Shipeng Yu trusts overall

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

  1. Sam T. Roweis
  2. Michael I. Jordan
  3. Bernhard Schölkopf
  4. Zoubin Ghahramani
  5. Radford M. Neal
  6. Michael E. Tipping
  7. Theodoros Evgeniou
  8. Peter M. Williams
  9. Geoffrey E. Hinton
  10. Kai Yu

Who trusts Shipeng Yu overall

  1. Yu Zhang
  2. Ajit Paul Singh
  3. Dit-Yan Yeung
  4. Deng Cai
  5. Yi Zhang
  6. Claudio Carpineto
  7. Amar Shah
  8. Ming Yang
  9. Geoffrey J. Gordon
  10. Qiang Yang

Papers from Shipeng Yu's perspective

Ordered by how strongly the researchers Shipeng Yu 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers