Lingxiao Huang

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 69 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Lingxiao Huang trusts overall

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

  1. Faisal Kamiran
  2. L. Elisa Celis
  3. Sara Hajian
  4. Ben London
  5. EU ANDREAS-MAURER.
  6. Toon Calders
  7. Stephen P. Boyd
  8. Aditya Krishna Menon
  9. Muhammad Bilal Zafar
  10. Olivier Bousquet

Who trusts Lingxiao Huang overall

  1. L. Elisa Celis
  2. Ninareh Mehrabi
  3. Nisheeth K. Vishnoi
  4. Anay Mehrotra
  5. Fred Morstatter
  6. Simon Caton
  7. Sina Baharlouei
  8. Dana Pessach

Papers from Lingxiao Huang's perspective

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

Their papers