Yunlong He

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Yunlong He trusts overall

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

  1. Daniel D. Lee
  2. Andrzej S. Cichocki
  3. Chris H. Q. Ding
  4. Chih-Jen Lin
  5. Haesun Park
  6. Karthik Devarajan
  7. Hyunsoo Kim
  8. Jingu Kim
  9. Inderjit S. Dhillon
  10. P. Paatero

Who trusts Yunlong He overall

  1. Nicolas Gillis
  2. Rania Albalawi
  3. Mingyi Hong
  4. Madeleine Udell
  5. Ramakrishnan Kannan
  6. Thierry Bouwmans

Papers from Yunlong He's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Learning the parts of objects by non-negative matrix factorization
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Going deeper with convolutions

Their papers