Hai-xia Peng

Computer Networks and Communications · 2021

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hai-xia Peng trusts overall

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

  1. Martin L. Puterman
  2. Yasar Sinan Nasir
  3. Jakob N. Foerster
  4. Zhaohui Yang
  5. Xiaoyan Hu
  6. Ryan J. Lowe
  7. Dongning Guo
  8. Hao Ye
  9. Yannis Assael
  10. Cunhua Pan

Papers from Hai-xia Peng's perspective

Ordered by how strongly the researchers Hai-xia Peng 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. Reinforcement Learning: An Introduction
  4. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Human-level control through deep reinforcement learning
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers