Qing Qu

Computational Mechanics · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Qing Qu trusts overall

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

  1. E.J. Candes
  2. Praneeth Netrapalli
  3. Moritz Hardt
  4. Sanjeev Arora
  5. Rong Ge
  6. Prateek Jain
  7. Pierre-Antoine Absil
  8. Alekh Agarwal
  9. Ruoyu Sun
  10. Yuxin Chen

Who trusts Qing Qu overall

  1. Samet Oymak
  2. Rina Panigrahy
  3. Jason D. Lee
  4. Yuejie Chi
  5. Ali Rahimi
  6. Yuxin Chen
  7. Srinadh Bhojanapalli
  8. Kfir Yehuda Levy
  9. Max Simchowitz

Papers from Qing Qu's perspective

Ordered by how strongly the researchers Qing Qu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Learning Multiple Layers of Features from Tiny Images
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers