Zhengrong Liang

Artificial Intelligence · 2006–2018

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhengrong Liang trusts overall

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

  1. Diederik P. Kingma

Papers from Zhengrong Liang's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Learning
  3. The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans. (Medical Physics (Lancaster))
  4. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
  5. ImageNet classification with deep convolutional neural networks
  6. Gradient-based learning applied to document recognition
  7. Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks (IEEE Transactions on Medical Imaging)
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Going deeper with convolutions
  10. Long Short-Term Memory

Their papers