Wenqing Hu

Optimization & Training · 2017

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

Subfields

Whom Wenqing Hu trusts overall

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

  1. Yurii E. Nesterov
  2. Ilya Sutskever
  3. Geoffrey E. Hinton
  4. Elad Hoffer
  5. Weijie Su
  6. Qianxiao Li
  7. Yoshua Bengio
  8. Yann LeCun
  9. Nitish Shirish Keskar
  10. L. Eon Bottou

Who trusts Wenqing Hu overall

  1. Umut Simsekli
  2. Issei Sato
  3. Grant M. Rotskoff
  4. Levent Sagun
  5. Zhanxing Zhu
  6. Masashi Sugiyama

Papers from Wenqing Hu's perspective

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

Their papers