Xiang Li

with Hu · 2004

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Xiang Li trusts overall

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

  1. S. Miyazawa
  2. C. Burges
  3. Vladimir Naumovich Vapni
  4. Christopher K. I. Williams
  5. Eugene I. Shakhnovich
  6. K. Simons
  7. Bernhard Schölkopf
  8. Robert L. Jernigan
  9. Yuh-Jye Lee
  10. Brian Kuhlman

Papers from Xiang Li's perspective

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

  1. The Nature of Statistical Learning Theory
  2. A new approach to protein fold recognition
  3. Estimation of effective interresidue contact energies from protein crystal structures: quasi-chemical approximation
  4. Energy functions that discriminate X-ray and near native folds from well-constructed decoys.
  5. Residue-residue potentials with a favorable contact pair term and an unfavorable high packing density term, for simulation and threading.
  6. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
  7. ImageNet classification with deep convolutional neural networks
  8. De novo protein design: fully automated sequence selection.
  9. Statistical potentials extracted from protein structures: how accurate are they?
  10. Engineering of stable and fast-folding sequences of model proteins.

Their papers