Qi He

Computer Vision and Pattern Recognition · Web Search and Data Mining · 2004–2023

A researcher in the Science corpus: 8 papers; trusts 68 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Qi He trusts overall

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

  1. Alex Graves
  2. E.J. Candes
  3. David L. Donoho
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Yann LeCun
  7. Sepp Hochreiter
  8. Joel A. Tropp
  9. David M. Blei
  10. Tracy Camp

Who trusts Qi He overall

  1. Sonja Buchegger
  2. Han Yu
  3. J. L. Boudec
  4. Zhiqi Shen
  5. David F. Gleich
  6. Nasir Naveed
  7. Wenjia Li

Papers from Qi He's perspective

Ordered by how strongly the researchers Qi He 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers