Chengjie Wu

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it
• Reinforcement Learning — 27 citations into it

Whom Chengjie Wu trusts overall

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

1. Tabish Rashid
2. Kyunghwan Son
3. Jakob N. Foerster
4. Martin J. Wainwright
5. Mikayel Samvelyan
6. Geoffrey E. Hinton
7. Gregory Farquhar
8. Michael I. Jordan
9. Jiechuan Jiang
10. Richard S. Sutton

Papers from Chengjie Wu's perspective

Ordered by how strongly the researchers Chengjie Wu 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. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Human-level control through deep reinforcement learning
9. Reinforcement Learning: An Introduction
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Celebrating Diversity in Shared Multi-Agent Reinforcement Learning (2021) — 208 citations
• Real-Time Wireless Sensor-Actuator Networks for Industrial Cyber-Physical Systems (2016) — 356 citations