Wei He

Electrical and Electronic Engineering · with Yang · 2012–2019

A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei He trusts overall

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

  1. Arumugam Manthiram
  2. Jun Liu
  3. M. Thackeray
  4. Christopher S. Johnson

Papers from Wei He's perspective

Ordered by how strongly the researchers Wei He 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. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. I and J
  9. Histograms of oriented gradients for human detection
  10. Dropout: a simple way to prevent neural networks from overfitting

Their papers