Shuxiang Cao

Artificial Intelligence · 2018–2021

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 Shuxiang Cao trusts overall

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

  1. Guifré Vidal
  2. Alex Graves
  3. R. Fisher
  4. Diederik P. Kingma

Papers from Shuxiang Cao's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Practical Variational Inference for Neural Networks
  3. Quantum Computing in the NISQ era and beyond (Quantum)
  4. Supervised Learning with Tensor Networks (Neural Information Processing Systems)
  5. Matrix product states, projected entangled pair states, and variational renormalization group methods for quantum spin systems
  6. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
  7. Unsupervised Machine Learning on a Hybrid Quantum Computer
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. A generative modeling approach for benchmarking and training shallow quantum circuits (npj Quantum Information)
  10. Benefits of Depth in Neural Networks

Their papers