Yue Zhu

Artificial Intelligence · with Kwok · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yue Zhu trusts overall

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

  1. Zhi-Hua Zhou
  2. Min-Ling Zhang
  3. Grigorios Tsoumakas
  4. Miao Xu
  5. Matthew R. Boutell
  6. Hsiang-Fu Yu
  7. Nicolas Boumal
  8. Rong-En Fan
  9. E.J. Candes
  10. Eric R. Ziegel

Who trusts Yue Zhu overall

  1. Weiwei Liu
  2. Haobo Wang

Papers from Yue Zhu's perspective

Ordered by how strongly the researchers Yue Zhu 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  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