Baihong Jin

International Conference on Artificial Neural Networks · 2019

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

Whom Baihong Jin trusts

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

  1. Aditya P. Mathur (in Control and Systems Engineering)

Papers from Baihong Jin's perspective

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

  1. Improved Techniques for Training GANs
  2. GENERATIVE ADVERSARIAL NETS
  3. Generative Moment Matching Networks
  4. Feature bagging for outlier detection (Knowledge Discovery and Data Mining)
  5. LOF: identifying density-based local outliers
  6. Data Mining: Concepts and Techniques
  7. MMD GAN: Towards Deeper Understanding of Moment Matching Network
  8. Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection (International Conference on Learning Representations)
  9. SWaT: a water treatment testbed for research and training on ICS security (2016 International Workshop on Cyber-physical Systems for Smart Water Networks (CySWater))
  10. Angle-based outlier detection in high-dimensional data (Knowledge Discovery and Data Mining)

Their papers