Shuijing Liu

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Reinforcement Learning — 12 citations into it
• Safety, Robustness & Interpretability — 7 citations into it

Whom Shuijing Liu trusts overall

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

1. Ian J. Goodfellow
2. E. Todorov

Papers from Shuijing Liu's perspective

Ordered by how strongly the researchers Shuijing Liu 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. Asynchronous Methods for Deep Reinforcement Learning
4. Human-level control through deep reinforcement learning
5. Gradient-based learning applied to document recognition
6. Trust Region Policy Optimization (International Conference on Machine Learning)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Robust Deep Reinforcement Learning with Adversarial Attacks (2017) — 366 citations