Yuanqin He

Artificial Intelligence · with Kang · 2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuanqin He trusts

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

  1. Cynthia Dwork (in Artificial Intelligence)
  2. Yang Liu (in Artificial Intelligence)

Papers from Yuanqin He's perspective

Ordered by how strongly the researchers Yuanqin He 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. Explaining and Harnessing Adversarial Examples
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document 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. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Communication-Efficient Learning of Deep Networks from Decentralized Data

Their papers