Wei-Chao Zhou

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei-Chao Zhou trusts overall

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

  1. Stephen E. Robertson
  2. Nils Reimers
  3. Jacob Devlin
  4. Akari Asai
  5. Jimmy J. Lin
  6. Ronak Pradeep
  7. Geoffrey E. Hinton
  8. Ilya Sutskever
  9. Yoshua Bengio
  10. Rewon Child

Papers from Wei-Chao Zhou's perspective

Ordered by how strongly the researchers Wei-Chao Zhou trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers