Wenxin Li

Computational Theory and Mathematics · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wenxin Li trusts overall

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

  1. Maxim Sviridenko
  2. Andreas Krause
  3. Ashwinkumar Badanidiyuru
  4. Jure Leskovec
  5. Jan Vondr'ak
  6. Niv Buchbinder
  7. D. Golovin
  8. F. Maxwell Harper
  9. Baharan Mirzasoleiman
  10. George L. Nemhauser

Papers from Wenxin Li's perspective

Ordered by how strongly the researchers Wenxin Li 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. An analysis of approximations for maximizing submodular set functions—I
  3. Best Algorithms for Approximating the Maximum of a Submodular Set Function
  4. Learning Multiple Layers of Features from Tiny Images
  5. ImageNet classification with deep convolutional neural networks
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Maximizing Non-Monotone Submodular Functions
  9. A note on maximizing a submodular set function subject to a knapsack constraint (Operations Research Letters)
  10. Long Short-Term Memory

Their papers