Jun Wang

with Zucker · 2000

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Jun Wang trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Gerald A. Edgar
  3. Oded Maron
  4. Thomas G. Dietterich
  5. Tomas Lozano-Perez
  6. Philip M. Long

Who trusts Jun Wang overall

  1. Zhi-Hua Zhou
  2. James R. Foulds
  3. Jaume Amores
  4. Dan Zhang
  5. Boris Babenko
  6. Riccardo Satta
  7. Min-Ling Zhang
  8. Eibe Frank
  9. Tomás Pevný
  10. James T. Kwok

Papers from Jun Wang's perspective

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

  1. The Nature of Statistical Learning Theory
  2. PAC Learning Axis-aligned Rectangles with Respect to Product Distributions from Multiple-Instance Examples
  3. Solving the Multiple Instance Problem with Axis-Parallel Rectangles
  4. A Framework for Multiple-Instance Learning
  5. Measure, Topology, and Fractal Geometry
  6. Gradient-based learning applied to document recognition
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. ImageNet classification with deep convolutional neural networks
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Reinforcement Learning: An Introduction

Their papers