Chao Ma

Artificial Intelligence · with Li · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chao Ma trusts overall

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

  1. Matthias Fey
  2. George Karypis

Papers from Chao Ma's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
  5. The Graph Neural Network Model
  6. PyTorch: An Imperative Style, High-Performance Deep Learning Library
  7. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. Long Short-Term Memory

Their papers