Weiping Song

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Weiping Song trusts overall

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

  1. Diederik P. Kingma
  2. Steffen Rendle
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Ruslan Salakhutdinov
  6. Alex Krizhevsky
  7. Jimmy Ba
  8. Dzmitry Bahdanau
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts Weiping Song overall

  1. Kun Zhou
  2. Chen Gao
  3. Shiwen Wu
  4. Bernhard Schäfl
  5. Yu. V. Gorishniy
  6. Xin Huang
  7. Le Wu
  8. Jianling Wang
  9. Wayne Xin Zhao
  10. Xiangnan He

Papers from Weiping Song's perspective

Ordered by how strongly the researchers Weiping Song 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers