Yujia Jin

Optimization & Training · 2019

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yujia Jin trusts overall

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

  1. Shai Shalev-Shwartz
  2. Yurii E. Nesterov
  3. Tong Zhang
  4. Arkadi Nemirovski
  5. Zeyuan Allen-Zhu
  6. Lin Xiao
  7. Francis R. Bach
  8. Rie Johnson
  9. Mark W. Schmidt
  10. Thomas Strohmer

Who trusts Yujia Jin overall

  1. Kaidi Cao

Papers from Yujia Jin's perspective

Ordered by how strongly the researchers Yujia Jin 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. GENERATIVE ADVERSARIAL NETS
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet: A large-scale hierarchical image database

Their papers