Peng Xu

Artificial Intelligence · with Mahoney · 2016–2017

A researcher in the Science corpus: 3 papers; trusts 58 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Peng Xu trusts overall

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

  1. Michael W. Mahoney
  2. Farbod Roosta-Khorasani
  3. Petros Drineas
  4. Yurii E. Nesterov
  5. Eric R. Ziegel
  6. Dong C. Liu
  7. Mert Pilanci
  8. Jorge Nocedal
  9. Joel A. Tropp
  10. E.J. Candes

Who trusts Peng Xu overall

  1. Nicolas Loizou
  2. Shusen Wang
  3. Raghu Bollapragada
  4. Xiang Li
  5. Frank E. Curtis
  6. Albert S. Berahas
  7. Haishan Ye
  8. Shiliang Sun
  9. Peter Richtárik
  10. Zhihua Zhang

Papers from Peng Xu's perspective

Ordered by how strongly the researchers Peng Xu 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  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