Zhaoshi Meng

Computer Vision and Pattern Recognition · 2012–2017

A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Zhaoshi Meng trusts overall

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

  1. E.J. Candes
  2. Venkat Chandrasekaran
  3. Huan Xu
  4. Sahand N. Negahban
  5. Alan S. Willsky
  6. Michael I. Jordan
  7. Martin J. Wainwright
  8. Roman Vershynin
  9. Pradeep Ravikumar
  10. David M. Blei

Who trusts Zhaoshi Meng overall

  1. Jonathan D. Rosenblatt
  2. Boaz Nadler
  3. Sergey I. Nikolenko
  4. Kumar Kshitij Patel

Papers from Zhaoshi Meng's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet: A large-scale hierarchical image database
  3. ImageNet classification with deep convolutional neural networks
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers