J. Zhong

Artificial Intelligence · with Chen · 2011–2019

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom J. Zhong trusts overall

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

  1. Kalyanmoy Deb
  2. Abhishek Gupta
  3. Xavier Glorot
  4. Alex Krizhevsky
  5. Antoine Bordes

Papers from J. Zhong's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Learning Multiple Layers of Features from Tiny Images
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Genetic Algorithms in Search Optimization and Machine Learning
  9. A fast and elitist multiobjective genetic algorithm: NSGA-II
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers