Jie Liu

Artificial Intelligence · with Liu · 2025

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 Jie Liu trusts overall

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

  1. Ahmed El-Kishky
  2. John Schulman
  3. Yaron Lipman
  4. Kevin Black
  5. Diederik P. Kingma
  6. Zhihong Shao
  7. Geoffrey E. Hinton
  8. Ronald J. Williams
  9. Patrick Esser

Papers from Jie Liu's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Proximal Policy Optimization Algorithms (arXiv.org)

Their papers