Xiangyang Liu

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 204 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiangyang Liu trusts overall

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

  1. Geoffrey E. Hinton
  2. Ilya Sutskever
  3. Yoshua Bengio
  4. Alex Graves
  5. Noam Shazeer
  6. Kaiming He
  7. Diederik P. Kingma
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Ashish Vaswani

Papers from Xiangyang Liu's perspective

Ordered by how strongly the researchers Xiangyang Liu 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers