Lu Lu

Artificial Intelligence · Computer Methods in Applied Mechanics and Engineering · 2018–2022

A researcher in the Science corpus: 11 papers; trusts 257 researchers and is trusted by 52 researchers here, as inferred from the citation graph.

Subfields

Whom Lu Lu trusts overall

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

  1. G. Em Karniadakis
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Maizar Raissi
  7. Kaiming He
  8. Ilya Sutskever
  9. Yann LeCun
  10. Jimmy Ba

Who trusts Lu Lu overall

  1. Pengzhan Jin
  2. G. Em Karniadakis
  3. Xuhui Meng
  4. Salvatore Cuomo
  5. Jeremy Vincent Yu
  6. Shuai Meng
  7. Chen-Chun Wu
  8. Nikola B. Kovachki
  9. Zong-Yi Li
  10. Han Gao

Papers from Lu Lu's perspective

Ordered by how strongly the researchers Lu Lu 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers