Yining Hong

Artificial Intelligence · 2013–2023

A researcher in the Science corpus: 7 papers; trusts 622 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Yining Hong trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Diederik P. Kingma
  6. Ilya Sutskever
  7. Ronald J. Williams
  8. David G. Lowe
  9. Yann LeCun
  10. Ross B. Girshick

Who trusts Yining Hong overall

  1. Jianwen Xie
  2. Yang Lu
  3. Song-Chun Zhu
  4. Ying Nian Wu
  5. Feng Li
  6. Renrui Zhang
  7. Wenze Hu

Papers from Yining Hong's perspective

Ordered by how strongly the researchers Yining Hong 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers