Hongxin Zhang

Artificial Intelligence · 2022–2023

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Hongxin Zhang trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. John Edwin Laird
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Yann LeCun
  9. Ross B. Girshick
  10. Richard E. Korf

Who trusts Hongxin Zhang overall

  1. Alexander Wei

Papers from Hongxin Zhang's perspective

Ordered by how strongly the researchers Hongxin Zhang 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers