Tingguang Li

Control and Systems Engineering · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tingguang Li trusts overall

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

  1. E. Todorov
  2. Tom Erez
  3. Timothy P. Lillicrap
  4. Yuval Tassa
  5. Marcin Andrychowicz
  6. Nicolas Manfred Otto Heess
  7. Sergey Levine
  8. Vikash Kumar

Papers from Tingguang Li's perspective

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

Their papers