Jingwei Zhang

Artificial Intelligence · with Burgard · 2016–2018

A researcher in the Science corpus: 6 papers; trusts 466 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Jingwei Zhang trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Richard S. Sutton
  5. Alex Krizhevsky
  6. Sergey Levine
  7. Alex Graves
  8. Kaiming He
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Jingwei Zhang overall

  1. Lei Tai
  2. Emilio Parisotto
  3. Sergey I. Nikolenko
  4. Saurabh Gupta
  5. Kai Zhu
  6. Ahmed Touati
  7. Jake Bruce
  8. Mark Pfeiffer
  9. Ming Liu
  10. Tao Chen

Papers from Jingwei Zhang's perspective

Ordered by how strongly the researchers Jingwei Zhang 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers