Xiaoqing Ye

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaoqing Ye trusts

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

  1. François Chollet (in Computer Vision and Pattern Recognition)
  2. Noam Shazeer (in Model Architectures)
  3. Leonidas J. Guibas (in Computational Mechanics)
  4. Hao Su (in Computational Mechanics)
  5. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  6. Kaiming He (in Computer Vision and Pattern Recognition)

Papers from Xiaoqing Ye's perspective

Ordered by how strongly the researchers Xiaoqing Ye trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Language Models are Unsupervised Multitask Learners
  7. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  8. Improving Language Understanding by Generative Pre-Training
  9. Gradient-based learning applied to document recognition
  10. Long Short-Term Memory

Their papers