Zi Wang

Artificial Intelligence · with Jegelka · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 83 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Zi Wang trusts overall

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

  1. Radford M. Neal
  2. Jonas Mockus
  3. Harold J. Kushner
  4. Andreas Krause
  5. Jasper Snoek
  6. Li Fei-Fei
  7. L. Cook
  8. Geoffrey E. Hinton
  9. Carl E. Rasmussen
  10. Hugo Larochelle

Who trusts Zi Wang overall

  1. Guodong Zhang
  2. Haihao Lu
  3. Yimin Huang
  4. Maximilian Balandat
  5. Lisha Li
  6. Jiaxin Shi
  7. Stefanie Sabrina Jegelka
  8. Kenji Kawaguchi
  9. Yujun Li
  10. Xilu Wang

Papers from Zi Wang's perspective

Ordered by how strongly the researchers Zi Wang 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. 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