Yucheng Lu

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 63 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yucheng Lu trusts overall

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

  1. Alex Krizhevsky
  2. Dimitri P. Bertsekas
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. L. Eon Bottou
  6. Kaiming He
  7. Jacob Devlin
  8. Yann LeCun
  9. Diederik P. Kingma
  10. Max Welling

Papers from Yucheng Lu's perspective

Ordered by how strongly the researchers Yucheng 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers