Liangxiao Jiang

Artificial Intelligence · 2009–2021

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Liangxiao Jiang trusts overall

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

  1. Ron Kohavi
  2. Andrew P. Bradley
  3. Eibe Frank
  4. Geoffrey I. Webb
  5. Ian H. Witten
  6. Andrew McCallum
  7. Daniel Grossman
  8. Pedro M. Domingos
  9. Usama M. Fayyad
  10. Jay M. Ponte

Who trusts Liangxiao Jiang overall

  1. Jessa Bekker
  2. Jia Wu
  3. Levent Koc
  4. Zhihua Cai
  5. Jesse Davis
  6. Thomas A. Mazzuchi

Papers from Liangxiao Jiang's perspective

Ordered by how strongly the researchers Liangxiao Jiang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. UCI Repository of machine learning databases
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers