Hongya Lu

2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Hongya Lu trusts overall

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

  1. Andrew L. Maas
  2. Cédric Villani

Who trusts Hongya Lu overall

  1. Arvid Lundervold

Papers from Hongya Lu's perspective

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

  1. Dropout: a simple way to prevent neural networks from overfitting
  2. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
  3. Best practices for convolutional neural networks applied to visual document analysis
  4. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
  5. Rectifier Nonlinearities Improve Neural Network Acoustic Models
  6. ImageNet classification with deep convolutional neural networks
  7. Gradient-based learning applied to document recognition
  8. Wasserstein Generative Adversarial Networks
  9. Long Short-Term Memory
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers