Hongxing He

Artificial Intelligence · 2002

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Hongxing He trusts overall

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

  1. Robert Hecht-Nielsen
  2. David H. Ackley
  3. Kenji Yamanishi
  4. Tian Zhang
  5. Raymond T. Ng
  6. Martin Ester
  7. Geoffrey E. Hinton

Who trusts Hongxing He overall

  1. Heiko Paulheim
  2. Charu C. Aggarwal
  3. Jacopo Castellini
  4. Varun Chandola
  5. Lukas Ruff
  6. Mayu Sakurada
  7. Clifton Phua
  8. Yuntao Liu
  9. Guansong Pang
  10. Jinghui Chen

Papers from Hongxing He's perspective

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

  1. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
  2. BIRCH: an efficient data clustering method for very large databases
  3. A Learning Algorithm for Boltzmann Machines
  4. On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms (Knowledge Discovery and Data Mining)
  5. UCI Repository of machine learning databases
  6. Efficient algorithms for mining outliers from large data sets (ACM SIGMOD Conference)
  7. Mining top-n local outliers in large databases (Knowledge Discovery and Data Mining)
  8. Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics)
  9. LOF: identifying density-based local outliers
  10. Replicator neural networks for universal optimal source coding.

Their papers