Jiacheng Yang

Artificial Intelligence · with Yu · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 84 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jiacheng Yang trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Kaiming He
  6. Ilya Sutskever
  7. Christian Szegedy
  8. Alec Radford
  9. Quoc V. Le
  10. Yann LeCun

Who trusts Jiacheng Yang overall

  1. Yen-Chun Chen
  2. Asa Cooper Stickland
  3. Junyi Li
  4. Junliang Guo
  5. Amirsina Torfi
  6. Han Cai
  7. Xiangpeng Wei
  8. Zehui Lin
  9. Hanchao Wang
  10. Danilo Vasconcellos Vargas

Papers from Jiacheng Yang's perspective

Ordered by how strongly the researchers Jiacheng 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers