Xiaowen Dong

Artificial Intelligence · 2012–2021

A researcher in the Science corpus: 5 papers; trusts 52 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaowen Dong trusts overall

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

  1. Yoshua Bengio
  2. Jerome H. Friedman
  3. Ulrike von Luxburg
  4. Nicolai Meinshausen
  5. Ming Yuan
  6. Geoffrey E. Hinton
  7. Andrew Y. Ng
  8. Alex Smola
  9. Vassilis Kalofolias
  10. Robert Tibshirani

Who trusts Xiaowen Dong overall

  1. Santiago Segarra
  2. Gonzalo Mateos
  3. Hilmi E. Egilmez
  4. Peter Berger
  5. Antonio Garcia Marques
  6. Feng Xia
  7. Dorina Thanou
  8. Antonio Ortega
  9. Eduardo Pavez
  10. Alejandro Ribeiro

Papers from Xiaowen Dong's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  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