Qiang Chen

Artificial Intelligence · with Huang · 2016

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qiang Chen trusts overall

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

  1. Alex Graves
  2. Zachary Chase Lipton
  3. Alex Krizhevsky
  4. Sepp Hochreiter
  5. Sergey Ioffe
  6. Geoffrey E. Hinton

Papers from Qiang Chen's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Long Short-Term Memory
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Generating Sequences With Recurrent Neural Networks
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Deep Learning
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers