Jiang Xie

Electrical and Electronic Engineering · 2004–2019

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 8 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Computer Networks and Communications — 6 citations into it

Whom Jiang Xie trusts overall

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

1. Robert Hsieh
2. Andrew T. Campbell
3. Joseph Redmon
4. Ramachandran Ramjee

Papers from Jiang Xie's perspective

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

1. Microsoft COCO: Common Objects in Context
2. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
3. ImageNet classification with deep convolutional neural networks
4. International Journal of Computer Vision manuscript No. (will be inserted by the editor) The PASCAL Visual Object Classes (VOC) Challenge
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. ImageNet Large Scale Visual Recognition Challenge
10. Long Short-Term Memory

Their papers

• A survey of mobility management in next-generation all-IP-based wireless systems (2004) — 745 citations
• How Is Energy Consumed in Smartphone Deep Learning Apps? Executing Locally vs. Remotely (2019) — 18 citations