Cheng Yang

Artificial Intelligence · International Conference on Learning Representations · 2015–2023

A researcher in the Science corpus: 9 papers; trusts 227 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Cheng Yang trusts overall

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

  1. Yoshua Bengio
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Tomas Mikolov
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Lei Tang
  9. Kaiming He
  10. Max Welling

Who trusts Cheng Yang overall

  1. Aleksandar Bojchevski
  2. Daokun Zhang
  3. Hongyun Cai
  4. Shirui Pan
  5. Stephan Günnemann
  6. Jiezhong Qiu
  7. Ganqu Cui
  8. Jie Yin
  9. Vincent Wenchen Zheng
  10. Xingquan Zhu

Papers from Cheng Yang's perspective

Ordered by how strongly the researchers Cheng 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers