Yun Liu

Signal Processing · with Zhang · 2020

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

Subfields

Whom Yun Liu trusts overall

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

  1. Deliang Wang
  2. Kaiming He
  3. Yi Luo
  4. Yong Xu

Who trusts Yun Liu overall

  1. Sefik Emre Eskimez

Papers from Yun Liu's perspective

Ordered by how strongly the researchers Yun Liu 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. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet: A large-scale hierarchical image database

Their papers