Daqing Hou

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daqing Hou trusts overall

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

  1. Surat Teerapittayanon
  2. Pete Warden

Papers from Daqing Hou's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding

Their papers