Yongguo Kang

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 25 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Yongguo Kang trusts overall

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

  1. Ilya Sutskever
  2. Daniel W. Griffin
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Heiga Zen
  7. Alex Graves
  8. Oriol Vinyals
  9. Kyunghyun Cho
  10. Masanori Morise

Who trusts Yongguo Kang overall

  1. Xu Tan
  2. Yujia Xiao
  3. Frank K. Soong
  4. Lei He
  5. Yi Ren
  6. Tao Qin

Papers from Yongguo Kang's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers