Fangjun Kuang

Artificial Intelligence · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fangjun Kuang trusts overall

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

  1. Alex Graves
  2. Daniel Povey
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Vassil Panayotov
  6. Ashish Vaswani
  7. Tom Ko

Papers from Fangjun Kuang's perspective

Ordered by how strongly the researchers Fangjun Kuang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. ImageNet classification with deep convolutional neural networks
  6. Speech recognition with deep recurrent neural networks
  7. Gradient-based learning applied to document recognition
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation of Rare Words with Subword Units
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers