How Jing

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom How Jing trusts overall

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

  1. Lawrence R. Rabiner
  2. Sepp Hochreiter
  3. Yehuda Koren
  4. Ruslan Salakhutdinov
  5. Alex Graves
  6. Geoffrey E. Hinton
  7. J. Urgen Schmidhuber
  8. Ryan Kiros
  9. Yoshua Bengio
  10. Manuel Gomez-Rodriguez

Who trusts How Jing overall

  1. Wang-Cheng Kang
  2. Julian McAuley
  3. Jiacheng Li
  4. Shoujin Wang
  5. M. M. Afsar
  6. Alex Beutel
  7. Qi Cao
  8. Guanjie Zheng
  9. Yujie Wang
  10. Paul Covington

Papers from How Jing's perspective

Ordered by how strongly the researchers How Jing 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers