Lei Zhu

Signal Processing · with Xu · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Lei Zhu trusts overall

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

  1. Paris Smaragdis
  2. John R. Hershey
  3. Mikkel N. Schmidt
  4. Emmanuel Vincent
  5. Tara N. Sainath
  6. Santiago Pascual
  7. Geoffrey E. Hinton
  8. Phillip Isola
  9. Dong Yu
  10. Hakan Erdogan

Who trusts Lei Zhu overall

  1. Yi Luo
  2. Eliya Nachmani

Papers from Lei Zhu's perspective

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

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

Their papers