Xiting Wang

Artificial Intelligence · 2015–2019

A researcher in the Science corpus: 6 papers; trusts 72 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Xiting Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yehuda Koren
  4. Ruslan Salakhutdinov
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Julian McAuley
  8. Ilya Sutskever
  9. Daniel D. Lee
  10. Yann LeCun

Who trusts Xiting Wang overall

  1. Yongfeng Zhang
  2. Alfredo Vellido
  3. M. M. Afsar
  4. Jingyue Gao
  5. Giulia Vilone
  6. Xu Chen
  7. Zhongxia Chen
  8. Yao Ming
  9. Trafford Crump
  10. Sebastian Gehrmann

Papers from Xiting Wang's perspective

Ordered by how strongly the researchers Xiting 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers