Liang Wang

Aerospace Engineering · with Aslam · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Liang Wang trusts overall

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

  1. Dimitri P. Bertsekas
  2. Yong Zeng
  3. Michael L. Littman
  4. Diederik P. Kingma
  5. Yuxi Li
  6. David Silver
  7. Rui Zhang
  8. Qingqing Wu
  9. Richard S. Sutton
  10. Tom Schaul

Papers from Liang Wang's perspective

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

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

Their papers