Min Ye

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 4 papers; trusts 50 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Min Ye trusts overall

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

  1. John C. Duchi
  2. Cynthia Dwork
  3. Peter Kairouz
  4. Martin J. Wainwright
  5. Eric R. Ziegel
  6. Michael I. Jordan
  7. Bin Yu
  8. Alexandre B. Tsybakov
  9. Mohammad Ali Maddah-Ali
  10. Songze Li

Who trusts Min Ye overall

  1. Jayadev Acharya
  2. Wei-Ning Chen
  3. Vitaly Feldman
  4. Tianhao Wang
  5. Leighton Pate Barnes
  6. Alexander Barg
  7. Ziteng Sun
  8. Peter Kairouz
  9. Qian Yu
  10. Ayfer Özgür

Papers from Min Ye's perspective

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

Their papers