Conghao Zhou

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Conghao Zhou trusts overall

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

  1. Ronald J. Williams
  2. Roberto Minerva
  3. Alex Krizhevsky

Papers from Conghao Zhou's perspective

Ordered by how strongly the researchers Conghao Zhou 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. Asynchronous Methods for Deep Reinforcement Learning
  4. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  5. Gradient-based learning applied to document recognition
  6. Deep Learning
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers