Hongfa Wang

Computer Vision and Pattern Recognition · with Li · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hongfa Wang trusts overall

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

  1. Kaiming He

Papers from Hongfa Wang's perspective

Ordered by how strongly the researchers Hongfa Wang 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. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet: A large-scale hierarchical image database
  4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  5. Microsoft COCO: Common Objects in Context
  6. ImageNet classification with deep convolutional neural networks
  7. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Gradient-based learning applied to document recognition

Their papers