Quan Pan

Control and Systems Engineering · with He · 2018

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 12 citations into it
• Artificial Intelligence — 7 citations into it
• Computer Networks and Communications — 7 citations into it
• Electrical and Electronic Engineering — 7 citations into it

Whom Quan Pan trusts overall

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

1. Emilia M. Fridman
2. Diederik P. Kingma
3. PooGyeon Park
4. Alexandre Seuret
5. Chen Peng
6. Jur van den Berg
7. Hassan Bevrani
8. Pinxin Long

Papers from Quan Pan's perspective

Ordered by how strongly the researchers Quan Pan 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. TensorFlow: A system for large-scale machine learning
5. OpenAI Gym
6. Gradient-based learning applied to document recognition
7. Learning to Communicate with Deep Multi-Agent Reinforcement Learning (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Wirtinger-based integral inequality: Application to time-delay systems (at - Automatisierungstechnik)

Their papers

• Further Improvement on Delay-Dependent Load Frequency Control of Power Systems via Truncated B–L Inequality (2018) — 65 citations
• Multi-vehicle Flocking Control with Deep Deterministic Policy Gradient Method (2018) — 36 citations