Jiulong Shan

Artificial Intelligence · 2010–2022

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jiulong Shan trusts overall

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

  1. Slava M. Katz
  2. Andreas Stolcke
  3. Mark John Francis Gales
  4. Mehryar Mohri
  5. Daniel Povey
  6. Fernando C Pereira
  7. Kaiming He

Papers from Jiulong Shan's perspective

Ordered by how strongly the researchers Jiulong Shan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Learning Multiple Layers of Features from Tiny Images
  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