Haibin Wu

Artificial Intelligence · with Wang · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Haibin Wu trusts

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

  1. Cherukuri Aswani Kumar (in Artificial Intelligence)
  2. Sumaiya Thaseen Ikram (in Artificial Intelligence)
  3. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  4. Ilya Sutskever (in Computer Vision and Pattern Recognition)
  5. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)

Who trusts Haibin Wu

  1. Sydney Mambwe Kasongo (in Artificial Intelligence)
  2. Nivedita Mishra (in Artificial Intelligence)
  3. Yanxia Sun (in Artificial Intelligence)
  4. Sharnil Pandya (in Artificial Intelligence)

Papers from Haibin Wu's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Learning
  3. Random Forest Modeling for Network Intrusion Detection System
  4. A study of the behavior of several methods for balancing machine learning training data
  5. Ensemble manifold regularized sparse low-rank approximation for multiview feature embedding (Pattern Recognition)
  6. A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks (IEEE Access)
  7. Long Short Term Memory Recurrent Neural Network Classifier for Intrusion Detection (International Conference on Platform Technology and Service)
  8. Intrusion detection model using fusion of chi-square feature selection and multi class SVM (Journal of King Saud University: Computer and Information Sciences)
  9. A Study on NSL-KDD Dataset for Intrusion Detection System Based on Classification Algorithms
  10. Learning Multiple Layers of Features from Tiny Images

Their papers