Ge Yang

Biomedical Engineering · with Cheng · 2024

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 Ge Yang trusts

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

  1. Deepak Pathak (in Biomedical Engineering)

Papers from Ge Yang's perspective

Ordered by how strongly the researchers Ge Yang 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. Decoupled Weight Decay Regularization
  3. ImageNet classification with deep convolutional neural networks
  4. RT-1: Robotics Transformer for Real-World Control at Scale
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Agile Robotic Locomotion Skills by Imitating Animals
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Long Short-Term Memory

Their papers