Haibing Guan

Artificial Intelligence · 2010–2022

A researcher in the Science corpus: 5 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haibing Guan trusts overall

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

  1. Marco Dorigo
  2. Jing Xu
  3. Sivadon Chaisiri
  4. Eugen Feller
  5. Alex Krizhevsky

Who trusts Haibing Guan overall

  1. Zhi-hui Zhan

Papers from Haibing Guan's perspective

Ordered by how strongly the researchers Haibing Guan 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. Gradient-based learning applied to document recognition
  3. Learning Multiple Layers of Features from Tiny Images
  4. Et al
  5. ImageNet classification with deep convolutional neural networks
  6. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers