Xueyuan Han

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xueyuan Han trusts overall

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

  1. Sadegh M. Milajerdi
  2. Moses Charikar
  3. Carl Doersch
  4. Peter J. Rousseeuw
  5. Ingo Steinwart
  6. Samuel T. King
  7. Ashish Gehani
  8. Leman Akoglu
  9. Olivier Chapelle
  10. Sariel Har-Peled

Papers from Xueyuan Han's perspective

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

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

Their papers