Jun Zhang

Artificial Intelligence · with Ackerman · 2007–2011

A researcher in the Science corpus: 5 papers; trusts 22 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Zhang trusts overall

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

  1. Shun-ichi Amari
  2. Ingrid Daubechies
  3. Stéphane Mallat
  4. Ronald Fagin
  5. Jonathan L. Herlocker
  6. Allan Borodin
  7. Ravi Kumar
  8. Andrei Z. Broder
  9. Christopher K. I. Williams
  10. Kenji Fukumizu

Who trusts Jun Zhang overall

  1. Charu C. Aggarwal
  2. Aditya Pal
  3. Maryam Karimzadehgan
  4. Lada A. Adamic
  5. Lena Mamykina
  6. Gang Wang
  7. Jiang Bian
  8. Chenhao Tan
  9. Ryen W. White
  10. Eugene Agichtein

Papers from Jun Zhang's perspective

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

  1. Natural Gradient Works Efficiently in Learning
  2. Theory of Reproducing Kernels.
  3. Kernel Methods for Pattern Analysis
  4. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
  5. A wavelet tour of signal processing
  6. Universal Kernels
  7. Ten Lectures on Wavelets
  8. Regularization Networks and Support Vector Machines
  9. An Introduction to Probability Theory and Its Applications
  10. On Learning Vector − Valued Functions

Their papers