Meng Hu

Electrical and Electronic Engineering · with Zhou · 2013–2015

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

Subfields

Whom Meng Hu trusts overall

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

  1. Arumugam Manthiram
  2. Kang Xu
  3. Jun Liu
  4. John B. Goodenough
  5. Yang‐Kook Sun

Who trusts Meng Hu overall

  1. Fangli Deng

Papers from Meng Hu's perspective

Ordered by how strongly the researchers Meng 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. ImageNet classification with deep convolutional neural networks
  3. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  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. Histograms of oriented gradients for human detection
  9. Dropout: a simple way to prevent neural networks from overfitting
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers