Li Li

Artificial Intelligence · IEEE/CAA Journal of Automatica Sinica · 2006–2023

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Control and Systems Engineering — 17 citations into it; #4,938 of 8,257 by trust here, #2,612 by citations
• Reinforcement Learning — 6 citations into it

Whom Li Li trusts overall

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

1. Richard S. Sutton
2. Andrew Barto
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Volodymyr Mnih
6. Diederik P. Kingma
7. Yann LeCun
8. Shalabh Bhatnagar
9. David E. Rumelhart
10. Radford M. Neal

Who trusts Li Li overall

1. Azim Eskandarian
2. Hua Wei
3. Zhuangdi Zhu
4. M. Mohammadi
5. Xiaoyuan Liang
6. Cathy Wu
7. Brenden K. Petersen
8. Chaoxian Wu
9. Guanjie Zheng
10. Lei Chen

Papers from Li Li's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Reinforcement Learning: An Introduction

Their papers

• Cooperative Driving at Blind Crossings Using Intervehicle Communication (2006) — 310 citations
• Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys (2023) — 489 citations
• Capturing Car-Following Behaviors by Deep Learning (2018) — 308 citations
• Traffic signal timing via deep reinforcement learning (2016) — 540 citations