Jie Huang

Artificial Intelligence · with Chang · 2022–2023

A researcher in the Science corpus: 4 papers; trusts 197 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jie Huang trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Alec Radford
  5. Ilya Sutskever
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Kaiming He
  9. Jacob Devlin
  10. Alex Graves

Who trusts Jie Huang overall

  1. Haoran Li
  2. Jin Chen
  3. Grégoire Mialon
  4. Stella Biderman
  5. Dadi Guo
  6. Aviral Kumar
  7. Peiyi Wang
  8. Zheng Liu
  9. Roberto Dessì

Papers from Jie Huang's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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