Sung-Feng Huang

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 4 papers; trusts 72 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sung-Feng Huang trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Ilya Sutskever
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Oriol Vinyals
  7. Alex Graves
  8. Yann LeCun
  9. Andrew Zisserman
  10. Kaiming He

Who trusts Sung-Feng Huang overall

  1. Yihan Wu
  2. Chengyi Wang

Papers from Sung-Feng Huang's perspective

Ordered by how strongly the researchers Sung-Feng 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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers