Xianfeng Liang

Optimization & Training · with Chen · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Xianfeng Liang trusts overall

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

  1. Sebastian U. Stich
  2. Yann LeCun
  3. Christian Szegedy
  4. Sergey Ioffe
  5. Hao Yu
  6. Yoon Kim
  7. Hang Su
  8. Geoffrey E. Hinton
  9. Alex Krizhevsky
  10. Hanlin Tang

Who trusts Xianfeng Liang overall

  1. Farzin Haddadpour
  2. Filip Hanzely
  3. Ahmed Khaled
  4. Xinmeng Huang
  5. Peter Richtárik
  6. Jianyu Wang
  7. Mehrdad Mahdavi
  8. Xinwei Zhang
  9. Konstantin Mishchenko
  10. Ping Li

Papers from Xianfeng Liang's perspective

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