Shengding Hu

Artificial Intelligence · 2021–2026

A researcher in the Science corpus: 11 papers; trusts 127 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shengding Hu trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Ilya Sutskever
  5. Yann LeCun
  6. Alex Krizhevsky
  7. Timo Schick
  8. Kaiming He
  9. Alex Graves
  10. Tomas Mikolov

Who trusts Shengding Hu overall

  1. Ning Ding
  2. Zonghan Yang
  3. Xuandong Zhao
  4. Sarah Pratt
  5. Xu Han
  6. Fei Mi
  7. Yulong Chen
  8. Yulin Chen
  9. Yang Liu
  10. Siqi Ouyang

Papers from Shengding Hu's perspective

Ordered by how strongly the researchers Shengding Hu 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 classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers