Xibin Dong

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xibin Dong trusts overall

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

  1. Zhi-Hua Zhou
  2. Jerome H. Friedman
  3. Ludmila I. Kuncheva
  4. Xiaoli Z. Fern
  5. Trevor J. Hastie
  6. Juan José Rodríguez Diez
  7. Robert E. Schapire
  8. Ming Li
  9. Leo Breiman
  10. Carla E. Brodley

Who trusts Xibin Dong overall

  1. Lingjiao Chen
  2. Matei A. Zaharia

Papers from Xibin Dong's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. The Strength of Weak Learnability
  6. Long Short-Term Memory
  7. Bagging Predictors
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers