Xing Wei

Artificial Intelligence · with Croft · 2003–2007

A researcher in the Science corpus: 3 papers; trusts 25 researchers and is trusted by 80 researchers here, as inferred from the citation graph.

Subfields

Whom Xing Wei trusts overall

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

  1. T. Griffiths
  2. John D. Lafferty
  3. Chengxiang Zhai
  4. W. Bruce Croft
  5. Stuart Geman
  6. Adam L. Berger
  7. Victor Lavrenko
  8. Mark Steyvers
  9. Xiaoyong Liu
  10. Yee Whye Teh

Who trusts Xing Wei overall

  1. Jordan L. Boyd-Graber
  2. Yansong Feng
  3. Bhaskar Mitra
  4. Jianfeng Gao
  5. Andrew McCallum
  6. Charu C. Aggarwal
  7. David Mimno
  8. Jiafeng Guo
  9. Chengxiang Zhai
  10. Ivan Vulic

Papers from Xing Wei's perspective

Ordered by how strongly the researchers Xing Wei 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers