Yongyi Lu

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yongyi Lu trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Olaf Ronneberger
  4. Geoffrey E. Hinton
  5. Jia Deng
  6. Alex Krizhevsky
  7. Yoshua Bengio
  8. X. Zhang
  9. Diederik P. Kingma
  10. Ilya Sutskever

Who trusts Yongyi Lu overall

  1. Junde Wu
  2. Jeya Maria Jose Valanarasu
  3. Md Mostafijur Rahman
  4. Hong-Yu Zhou
  5. Jiacheng Ruan
  6. Kaiwen Zhang
  7. Timo Lüddecke
  8. Ali Hatamizadeh
  9. Bingzhi Chen

Papers from Yongyi Lu's perspective

Ordered by how strongly the researchers Yongyi 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. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers