Xianqi Wang

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xianqi Wang trusts overall

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

  1. Andreas Geiger
  2. Ilya Loshchilov
  3. Moritz Menze
  4. Jia-Ren Chang
  5. Alex Kendall
  6. Daniel Scharstein
  7. Geoffrey E. Hinton
  8. Henrik Aanæs
  9. Xiaoyang Guo
  10. Guorun Yang

Papers from Xianqi Wang's perspective

Ordered by how strongly the researchers Xianqi Wang 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers