Jianlan Luo

Control and Systems Engineering · with Bahl · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 28 citations into it
• Artificial Intelligence — 26 citations into it
• Reinforcement Learning — 24 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Biomedical Engineering — 10 citations into it

Whom Jianlan Luo trusts overall

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

1. Sergey Levine
2. Jan Peters
3. Reuven Y. Rubinstein
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Pieter Abbeel
7. E. Todorov
8. Richard S. Sutton
9. Diederik P. Kingma
10. Stefan Schaal

Papers from Jianlan Luo's perspective

Ordered by how strongly the researchers Jianlan Luo 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
9. GENERATIVE ADVERSARIAL NETS
10. Et al

Their papers

• Residual Reinforcement Learning for Robot Control (2018) — 624 citations
• Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data (2020) — 26 citations