Yen-Ju Lu

Signal Processing · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yen-Ju Lu trusts overall

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

  1. Yi Luo
  2. Cassia Valentini-Botinhao
  3. Y. Hu
  4. Emmanuel Vincent
  5. Szu-Wei Fu
  6. Jonathan Ho
  7. Santiago Pascual
  8. Alexandre D'efossez
  9. Geoffrey E. Hinton
  10. Diederik P. Kingma

Who trusts Yen-Ju Lu overall

  1. Wen Wang
  2. Dongchao Yang

Papers from Yen-Ju Lu's perspective

Ordered by how strongly the researchers Yen-Ju Lu 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. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. GENERATIVE ADVERSARIAL NETS
  9. ImageNet: A large-scale hierarchical image database
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers