Cheng Xing

Artificial Intelligence · 2019

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 Cheng Xing trusts overall

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

  1. Sergey Ioffe
  2. R. Vinayakumar
  3. G. Wang
  4. Jihyun Kim
  5. Chuanlong Yin

Who trusts Cheng Xing overall

  1. Ke He

Papers from Cheng Xing's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. Scikit-learn: Machine Learning in Python
  4. A novel hybrid KPCA and SVM with GA model for intrusion detection (Applied Soft Computing)
  5. A new approach to intrusion detection using Artificial Neural Networks and fuzzy clustering (Expert systems with applications)
  6. Long Short-Term Memory
  7. A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks (IEEE Access)
  8. Long Short Term Memory Recurrent Neural Network Classifier for Intrusion Detection (International Conference on Platform Technology and Service)
  9. Gradient-based learning applied to document recognition
  10. Applying convolutional neural network for network intrusion detection (International Conference on Advances in Computing, Communications and Informatics)

Their papers