Weiqi Luo

Artificial Intelligence · with Weng · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Weiqi Luo trusts overall

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

  1. Yann LeCun
  2. Pascal Paillier
  3. Ethan Buchman

Papers from Weiqi Luo's perspective

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

  1. Large Scale Distributed Deep Networks
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. The mnist database of handwritten digits
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  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. ImageNet: A large-scale hierarchical image database

Their papers