Feng Zhao

Artificial Intelligence · with Chen · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Feng Zhao trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Piotr Doll'ar (in Computer Vision and Pattern Recognition)
  4. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  5. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  6. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  7. Jitendra Malik (in Computer Vision and Pattern Recognition)
  8. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  9. Ilya Sutskever (in Computer Vision and Pattern Recognition)
  10. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)

Papers from Feng Zhao's perspective

Ordered by how strongly the researchers Feng Zhao 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. Microsoft COCO: Common Objects in Context
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  7. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  8. Long Short-Term Memory
  9. ImageNet: A large-scale hierarchical image database
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers