Huilin Qu

Nuclear and High Energy Physics · 2016–2023

A researcher in the Science corpus: 18 papers; trusts 37 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Huilin Qu trusts overall

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

  1. Iroon Polytechniou
  2. Kaiming He
  3. Jesse Thaler
  4. Leslie N. Smith
  5. A. Larkoski
  6. Jason Gallicchio
  7. Ross B. Girshick
  8. X. Zhang
  9. Geoffrey E. Hinton
  10. Saining Xie

Who trusts Huilin Qu overall

  1. Jonathan Shlomi
  2. Peter W. Battaglia
  3. Jean-Roch Vlimant
  4. A. Larkoski

Papers from Huilin Qu's perspective

Ordered by how strongly the researchers Huilin Qu 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers