Hongliang Ren

Artificial Intelligence · with Cao · 2015–2021

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hongliang Ren trusts overall

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

  1. Chin-Yew Lin
  2. Kaiming He

Papers from Hongliang Ren's perspective

Ordered by how strongly the researchers Hongliang Ren 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. Distilling the Knowledge in a Neural Network (arXiv.org)
  3. Rectified Linear Units Improve Restricted Boltzmann Machines
  4. ImageNet classification with deep convolutional neural networks
  5. Bleu: a Method for Automatic Evaluation of Machine Translation
  6. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers