Francis Y. Yan

Symposium on Networked Systems Design and Implementation · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Francis Y. Yan trusts overall

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

  1. Anthony V. Robins
  2. Richard Bellman
  3. Bradley Efron
  4. Xiaoqi Yin
  5. Ravi Netravali
  6. Stéphane Ross
  7. Hongzi Mao
  8. Zhou Wang
  9. Anusha Nagabandi
  10. Te-Yuan Huang

Papers from Francis Y. Yan's perspective

Ordered by how strongly the researchers Francis Y. Yan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
  5. ImageNet: A large-scale hierarchical image database
  6. Human-level control through deep reinforcement learning
  7. Video stream quality impacts viewer behavior: inferring causality using quasi-experimental designs (ACM/SIGCOMM Internet Measurement Conference)
  8. Gradient-based learning applied to document recognition
  9. Long Short-Term Memory
  10. Improving fairness, efficiency, and stability in HTTP-based adaptive video streaming with FESTIVE (Conference on Emerging Network Experiment and Technology)

Their papers