Hao Yang

Artificial Intelligence · with Ao · 2021

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 Hao Yang trusts

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

  1. Diederik P. Kingma (in Artificial Intelligence)
  2. Jimmy Ba (in Artificial Intelligence)

Papers from Hao Yang's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
  3. SMOTE: Synthetic Minority Over-sampling Technique
  4. Focal Loss for Dense Object Detection
  5. Learning to Reweight Examples for Robust Deep Learning
  6. Heterogeneous Graph Neural Networks for Malicious Account Detection (International Conference on Information and Knowledge Management)
  7. Class-Balanced Loss Based on Effective Number of Samples
  8. From amateurs to connoisseurs: modeling the evolution of user expertise through online reviews
  9. Graph based anomaly detection and description: a survey (Data mining and knowledge discovery)
  10. Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting

Their papers