Heqiang Wang

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Heqiang Wang trusts overall

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

  1. Jakub Konecný
  2. Sebastian U. Stich
  3. H. Brendan McMahan
  4. Peter Richtárik

Papers from Heqiang Wang's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Gradient-based learning applied to document recognition
  3. ImageNet classification with deep convolutional neural networks
  4. Learning Multiple Layers of Features from Tiny Images
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Adaptive Federated Learning in Resource Constrained Edge Computing Systems
  7. On the Convergence of FedAvg on Non-IID Data
  8. Long Short-Term Memory
  9. ImageNet: A large-scale hierarchical image database
  10. Federated Learning: Strategies for Improving Communication Efficiency

Their papers