Xintao Yan

Control and Systems Engineering · 2021–2023

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

Subfields

• Control and Systems Engineering — 9 citations into it
• Transportation — 5 citations into it

Whom Xintao Yan trusts overall

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

1. Martin Treiber

Papers from Xintao Yan's perspective

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

1. Human-level control through deep reinforcement learning
2. Reinforcement Learning: An Introduction
3. This PDF file includes: Materials and Methods
4. Proximal Policy Optimization Algorithms (arXiv.org)
5. Densely Connected Convolutional Networks
6. Curriculum learning
7. Mastering the game of Go without human knowledge
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. ImageNet classification with deep convolutional neural networks
10. Adversarial examples in the physical world

Their papers

• Dense reinforcement learning for safety validation of autonomous vehicles (2023) — 635 citations
• Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment (2021) — 445 citations