Kangkang Wang

Optimization & Training · 2019

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 Kangkang Wang trusts overall

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

  1. Yurii E. Nesterov
  2. Sepp Hochreiter
  3. H. Brendan McMahan
  4. Ilya Sutskever
  5. Martín Abadi
  6. Ofir Press
  7. J. Urgen Schmidhuber
  8. Geoffrey E. Hinton
  9. Hakan Inan
  10. Klaus Greff

Who trusts Kangkang Wang overall

  1. Yutao Huang
  2. Jaehoon Oh
  3. Viraj Kulkarni
  4. Hangyu Zhu
  5. Yishay Mansour
  6. Lingyang Chu
  7. Sangmook Kim
  8. Milind Kulkarni
  9. Zirui Zhou

Papers from Kangkang Wang's perspective

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

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers