Yitong Zhou

Artificial Intelligence · 2016

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

Subfields

Whom Yitong Zhou trusts overall

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

  1. Leslie G. Valiant
  2. Peter D. Hoff
  3. Charles E. McCulloch
  4. Lukas Meier
  5. Yehuda Koren
  6. Yuchen Zhang
  7. Jürg Schelldorfer
  8. Asim Ansari
  9. Alekh Agarwal
  10. John C. Duchi

Papers from Yitong Zhou's perspective

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

  1. LIBLINEAR: A Library for Large Linear Classification
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models
  5. The group lasso for logistic regression
  6. Gradient-based learning applied to document recognition
  7. Matrix Factorization Techniques for Recommender Systems
  8. A reliable effective terascale linear learning system
  9. Spark: Cluster Computing with Working Sets
  10. Learning Multiple Layers of Features from Tiny Images

Their papers