Derong Liu

Computational Theory and Mathematics · IEEE Transactions on Neural Networks and Learning Systems · 2008–2021

A researcher in the Science corpus: 17 papers; trusts 70 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Derong Liu trusts overall

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

  1. Frank L. Lewis
  2. Richard S. Sutton
  3. Huaguang Zhang
  4. Hamidreza Modares
  5. Kyriakos G. Vamvoudakis
  6. Murad Abu-Khalaf
  7. Paul J. Werbos
  8. Andrew Barto
  9. Draguna L. Vrabie
  10. Yu Jiang

Who trusts Derong Liu overall

  1. Ding Wang
  2. Qinglai Wei
  3. Hamidreza Modares
  4. Huaguang Zhang
  5. Shaocheng Tong
  6. Frank L. Lewis
  7. Haibo He
  8. Yong-ming Li
  9. Yanjun Liu
  10. Kangkang Sun

Papers from Derong Liu's perspective

Ordered by how strongly the researchers Derong Liu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Reinforcement Learning: An Introduction
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Human-level control through deep reinforcement learning
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers