Jiang Li

2009 Ninth IEEE International Conference on Data Mining · 2002–2014

A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 12 researchers here, as inferred from the citation graph.

Whom Jiang Li trusts overall

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

  1. James A. Hanley
  2. Russell Reed
  3. Mikko Lehtokangas

Who trusts Jiang Li overall

  1. Min Du
  2. Shilin He
  3. Vijayaraghavan Murali
  4. Feifei Li
  5. Hongyu Zhang
  6. Van-Hoang Le
  7. Qingwei Lin
  8. Yushi Chen

Papers from Jiang Li's perspective

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

  1. Gradient-based learning applied to document recognition
  2. A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation (IEEE Transactions on Neural Networks)
  3. Finding failures by cluster analysis of execution profiles (Proceedings of the 23rd International Conference on Software Engineering. ICSE 2001)
  4. Failure diagnosis using decision trees (International Conference on Autonomic Computing, 2004. Proceedings.)
  5. Detecting large-scale system problems by mining console logs (Symposium on Operating Systems Principles)
  6. Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis (2009 Ninth IEEE International Conference on Data Mining)
  7. Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks
  8. Parallel Distributed Processing: Explorations in the Microstructure of Cognition, vol 1: Foundations, vol 2: Psychological and Biological Models
  9. Genetic evolution of the topology and weight distribution of neural networks
  10. The Cascade-Correlation Learning Architecture

Their papers