Wei Bao

Artificial Intelligence · IEEE/ACM Transactions on Networking · 2017–2020

A researcher in the Science corpus: 5 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Bao trusts overall

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

  1. Jakub Konecný
  2. Thomas Stockhammer
  3. H. Brendan McMahan
  4. Brian Kulis
  5. Andreas Wächter
  6. Min-Ling Zhang
  7. Yann LeCun
  8. Kaare Brandt Petersen
  9. Peter Richtárik
  10. Geoffrey E. Hinton

Who trusts Wei Bao overall

  1. Mingzhe Chen
  2. Jiawen Kang
  3. Lumin Liu
  4. Zhaohui Yang

Papers from Wei Bao's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  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. Learning Multiple Layers of Features from Tiny Images
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers