Jinghua Feng

Artificial Intelligence · 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 Jinghua Feng 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 Jinghua Feng's perspective

Ordered by how strongly the researchers Jinghua Feng 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. Focal Loss for Dense Object Detection
  4. SMOTE: Synthetic Minority Over-sampling Technique
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Learning to Reweight Examples for Robust Deep Learning
  7. Class-Balanced Loss Based on Effective Number of Samples
  8. Heterogeneous Graph Neural Networks for Malicious Account Detection (International Conference on Information and Knowledge Management)
  9. From amateurs to connoisseurs: modeling the evolution of user expertise through online reviews
  10. Graph based anomaly detection and description: a survey (Data mining and knowledge discovery)

Their papers