Lu Su

Artificial Intelligence · ACM/IEEE International Conference on Mobile Computing and Networking · 2014–2020

A researcher in the Science corpus: 5 papers; trusts 26 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Lu Su trusts overall

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

  1. Xin Luna Dong
  2. Jeff Pasternack

Who trusts Lu Su overall

  1. Xinyi Zhou

Papers from Lu Su's perspective

Ordered by how strongly the researchers Lu Su 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. ImageNet classification with deep convolutional neural networks
  6. GENERATIVE ADVERSARIAL NETS
  7. Dropout: a simple way to prevent neural networks from overfitting
  8. Gradient-based learning applied to document recognition
  9. Rethinking the Inception Architecture for Computer Vision
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers