Yunxin Liu

Artificial Intelligence · with Hwang · 2013–2021

A researcher in the Science corpus: 4 papers; trusts 328 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yunxin Liu trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. Yoshua Bengio
  6. Ross B. Girshick
  7. Diederik P. Kingma
  8. Ilya Sutskever
  9. Jia Deng
  10. Karen Simonyan

Who trusts Yunxin Liu overall

  1. Liyuan Wang

Papers from Yunxin Liu's perspective

Ordered by how strongly the researchers Yunxin 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers