Liu Yang

Artificial Intelligence · with Karniadakis · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 113 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Liu Yang trusts overall

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

  1. Maizar Raissi
  2. Diederik P. Kingma
  3. Radford M. Neal
  4. G. Em Karniadakis
  5. Paris Perdikaris
  6. Alex Graves
  7. Jimmy Ba
  8. Geoffrey E. Hinton
  9. Yoshua Bengio
  10. Alex Krizhevsky

Who trusts Liu Yang overall

  1. Jared D. Willard
  2. G. Em Karniadakis
  3. Benjamin Moseley
  4. Shengze Cai
  5. Xuhui Meng
  6. Xiaowei Jia
  7. Salvatore Cuomo
  8. Han Gao
  9. Lu Lu
  10. Michael S. Albergo

Papers from Liu Yang's perspective

Ordered by how strongly the researchers Liu 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. GENERATIVE ADVERSARIAL NETS
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers