Ming Wu

Computer Networks and Communications · USENIX Symposium on Operating Systems Design and Implementation · 2008–2019

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ming Wu trusts

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

  1. Muthu Dayalan (in Information Systems)
  2. Thomas Kipf (in Graph Learning)
  3. Max Welling (in Graph Learning)

Papers from Ming Wu's perspective

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

  1. Gated Graph Sequence Neural Networks
  2. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
  3. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
  4. Relational inductive biases, deep learning, and graph networks
  5. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
  6. Learning Multiagent Communication with Backpropagation
  7. Graph Attention Networks (International Conference on Learning Representations)
  8. TensorFlow: A system for large-scale machine learning
  9. Collective Classification in Network Data
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers