Menglei Hu

Computer Vision and Pattern Recognition · with Chen · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Menglei Hu trusts overall

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

  1. Chris H. Q. Ding
  2. Shaoyuan Li
  3. Deguang Kong
  4. Shiliang Sun
  5. Tao Li
  6. Yuan Jiang
  7. Daniel D. Lee
  8. Michael I. Jordan
  9. Radford M. Neal
  10. Steffen Bickel

Who trusts Menglei Hu overall

  1. Yijie Lin
  2. Yuanbiao Gou
  3. Mouxing Yang
  4. Jiancheng Lv
  5. Jinfeng Bai
  6. Yunfan Li

Papers from Menglei Hu's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Learning the parts of objects by non-negative matrix factorization
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. Convex and Semi-Nonnegative Matrix Factorizations
  9. GENERATIVE ADVERSARIAL NETS
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers