Luming Zhang

International Joint Conference on Artificial Intelligence · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Luming Zhang trusts overall

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

  1. Xavier Glorot
  2. Robert Tibshirani
  3. Yoshua Bengio

Papers from Luming Zhang's perspective

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

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

Their papers