Qingqi Pei

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Computer Networks and Communications — 25 citations into it
• Electrical and Electronic Engineering — 19 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Optimization & Training — 6 citations into it

Whom Qingqi Pei trusts overall

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

1. Le Thanh Tan
2. Cynthia Dwork
3. Ying He
4. Kaiming He
5. Shai Shalev-Shwartz
6. Ke Zhang

Papers from Qingqi Pei's perspective

Ordered by how strongly the researchers Qingqi Pei 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. Gradient-based learning applied to document recognition
4. Microsoft COCO: Common Objects in Context
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Densely Connected Convolutional Networks
10. Going deeper with convolutions

Their papers

• Vehicular Edge Computing and Networking: A Survey (2019) — 546 citations
• Personalized Federated Learning With Differential Privacy (2020) — 325 citations
• An Edge Traffic Flow Detection Scheme Based on Deep Learning in an Intelligent Transportation System (2021) — 297 citations