Jiangyong Huang

Artificial Intelligence · 2023

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

Subfields

Whom Jiangyong Huang trusts overall

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

  1. Josh Tenenbaum
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Kaiming He
  7. Ruslan Salakhutdinov
  8. Ilya Sutskever
  9. Yann LeCun
  10. Ross B. Girshick

Who trusts Jiangyong Huang overall

  1. Moo Jin Kim
  2. Haoyu Zhen
  3. Delin Qu

Papers from Jiangyong Huang's perspective

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

Their papers