Jingwen Hu

Artificial Intelligence · with Jin · 2021

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jingwen Hu trusts overall

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

  1. Soujanya Poria
  2. Diederik P. Kingma
  3. Devamanyu Hazarika
  4. Geoffrey E. Hinton
  5. Navonil Majumder
  6. Yoshua Bengio
  7. Jimmy Ba
  8. Amir Zadeh
  9. Erik Cambria
  10. Alex Krizhevsky

Papers from Jingwen Hu's perspective

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

Their papers