Peijie Li

IEEE Transactions on Power Systems · 2016

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

Whom Peijie Li trusts overall

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

  1. Jorge Nocedal
  2. James V. Burke
  3. A. S. Lewis

Papers from Peijie Li's perspective

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

  1. A Robust Gradient Sampling Algorithm for Nonsmooth, Nonconvex Optimization
  2. Updating Quasi-Newton Matrices With Limited Storage
  3. Efficiency of Coordinate Descent Methods on Huge-Scale Optimization Problems
  4. Nonlinear Programming—Sequential Unconstrained Minimization Techniques
  5. Robust stability and a criss‐cross algorithm for pseudospectra
  6. Semidefinite programming
  7. Two numerical methods for optimizing matrix stability
  8. Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
  9. Large Scale Distributed Deep Networks
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers