Xuanhui Wang

Artificial Intelligence · NAACL-HLT · 2006–2023

A researcher in the Science corpus: 11 papers; trusts 67 researchers and is trusted by 40 researchers here, as inferred from the citation graph.

Subfields

Whom Xuanhui Wang trusts overall

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

  1. Thorsten Joachims
  2. Eric R. Ziegel
  3. Olivier Chapelle
  4. C. Burges
  5. Jerome H. Friedman
  6. Tie-Yan Liu
  7. Nick Craswell
  8. Georges Dupret
  9. Geoffrey E. Hinton
  10. Matthew Richardson

Who trusts Xuanhui Wang overall

  1. Thorsten Joachims
  2. Aman Agarwal
  3. Lihong Li
  4. Hamed Zamani
  5. Rama Kumar Pasumarthi
  6. Adith Swaminathan
  7. Nathan Kallus
  8. Michael Bendersky
  9. Kenta Takatsu
  10. Tobias Schnabel

Papers from Xuanhui Wang's perspective

Ordered by how strongly the researchers Xuanhui Wang 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers