Xinqiang Wang

Artificial Intelligence · 2017

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

Subfields

Whom Xinqiang Wang trusts overall

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

  1. Simon S. Haykin
  2. J. Kolter
  3. Ryan Elwell
  4. Zhi-Hua Zhou
  5. Thomas G. Dietterich
  6. Peilin Zhao

Who trusts Xinqiang Wang overall

  1. Namhoon Cho

Papers from Xinqiang Wang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. The perceptron: a probabilistic model for information storage and organization in the brain.
  3. Gradient-based learning applied to document recognition
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts
  6. Prediction, learning, and games
  7. A streaming ensemble algorithm (SEA) for large-scale classification (Knowledge Discovery and Data Mining)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Handling concept drifts in incremental learning with support vector machines

Their papers