Feiran Huang

Artificial Intelligence · with Huang · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Feiran Huang trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  3. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  4. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  5. X. Zhang (in Computer Vision and Pattern Recognition)
  6. Diederik P. Kingma (in Artificial Intelligence)
  7. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  8. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  9. Ilya Sutskever (in Artificial Intelligence)
  10. Geoffrey E. Hinton (in Artificial Intelligence)

Papers from Feiran Huang's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  4. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  5. Language Models are Unsupervised Multitask Learners
  6. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  7. Densely Connected Convolutional Networks
  8. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  9. Decoupled Weight Decay Regularization
  10. ImageNet classification with deep convolutional neural networks

Their papers