Xiuze Zhou

Automotive Engineering · 2022

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

Subfields

Whom Xiuze Zhou trusts

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

  1. Michael G. Pecht (in Automotive Engineering)

Papers from Xiuze Zhou's perspective

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

  1. Meshed-Memory Transformer for Image Captioning
  2. Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries (IEEE Transactions on Vehicular Technology)
  3. Long Short-Term Memory Network for Remaining Useful Life estimation (International Conference on Prognostics and Health Management)
  4. Long Short-Term Memory
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Adam: A Method for Stochastic Optimization (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. Dropout: a simple way to prevent neural networks from overfitting

Their papers