Guoxin Zhang

Artificial Intelligence · with Chen · 2017

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Guoxin Zhang trusts overall

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

  1. Alex Kulesza
  2. B. Taskar
  3. George Karypis
  4. Mi Zhang
  5. Jaime G. Carbonell
  6. Yehuda Koren
  7. Jennifer Gillenwater
  8. George L. Nemhauser
  9. Neil J. Hurley
  10. Boqing Gong

Papers from Guoxin Zhang's perspective

Ordered by how strongly the researchers Guoxin Zhang 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. ImageNet classification with deep convolutional neural networks
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Gradient-based learning applied to document recognition
  5. An analysis of approximations for maximizing submodular set functions—I
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. A Tight Linear Time (1/2)-Approximation for Unconstrained Submodular Maximization (IEEE Annual Symposium on Foundations of Computer Science)
  8. Structured Determinantal Point Processes
  9. Long Short-Term Memory
  10. The coincidence approach to stochastic point processes

Their papers