Geng Yang

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Geng Yang trusts overall

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

  1. Diederik P. Kingma
  2. Jean-Marc Valin
  3. Laurent Dinh
  4. Ryuichi Yamamoto
  5. Yoshua Bengio
  6. Geoffrey E. Hinton
  7. Jimmy Ba
  8. Aäron van den Oord
  9. Alex Krizhevsky
  10. Sercan Ö. Arik

Who trusts Geng Yang overall

  1. Yanli Li
  2. Antoine Caillon
  3. Zhaoxi Mu
  4. Pascal Puchtler
  5. Xu Tan
  6. Won Jang
  7. Takuma Okamoto
  8. Takuhiro Kaneko
  9. Cong Wang
  10. Yixuan Zhou

Papers from Geng Yang's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. GENERATIVE ADVERSARIAL NETS
  10. Learning Multiple Layers of Features from Tiny Images

Their papers