Lin He

Media Technology · with Li · 2018

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lin He trusts overall

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

  1. Jon Atli Benediktsson
  2. Yuliya Tarabalka
  3. Mathieu Fauvel
  4. Jocelyn Chanussot
  5. Yushi Chen
  6. Wenzhi Zhao
  7. Xudong Kang
  8. John D. Lafferty
  9. Shutao Li
  10. Leyuan Fang

Papers from Lin He's perspective

Ordered by how strongly the researchers Lin He 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Going deeper with convolutions
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. GENERATIVE ADVERSARIAL NETS

Their papers