Haiyang Xu

Computer Vision and Pattern Recognition · 2021–2024

A researcher in the Science corpus: 10 papers; trusts 609 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haiyang Xu trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Ross B. Girshick
  7. Ilya Sutskever
  8. Shaoqing Ren
  9. Yann LeCun
  10. Christian Szegedy

Who trusts Haiyang Xu overall

  1. Marcella Cornia
  2. Qinghao Ye
  3. Ming Yan
  4. Yan Zeng
  5. Jiasen Lu
  6. Chenliang Li
  7. Zhengyuan Yang
  8. Jianfeng Wang
  9. Zhiyuan Fang
  10. Yongfei Liu

Papers from Haiyang Xu's perspective

Ordered by how strongly the researchers Haiyang Xu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers