Lijing Qin

Management Science and Operations Research · 2014

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lijing Qin trusts overall

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

  1. Ruslan Salakhutdinov
  2. Lihong Li
  3. Peter Auer
  4. George L. Nemhauser
  5. Victor H. de la Peña
  6. Wei Chu
  7. Andriy Mnih
  8. T. L. Lai Andherbertrobbins
  9. Nicolò Cesa-Bianchi
  10. Robin D. Burke

Papers from Lijing Qin's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. GENERATIVE ADVERSARIAL NETS
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers