Weisong Shi

Computer Networks and Communications · 2006–2021

A researcher in the Science corpus: 5 papers; trusts 98 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 97 citations into it; #3,793 of 9,886 by trust here, #2,852 by citations
• Computer Vision and Pattern Recognition — 97 citations into it
• Electrical and Electronic Engineering — 63 citations into it; #13,362 of 16,539 by trust here, #10,154 by citations
• Artificial Intelligence — 55 citations into it
• Aerospace Engineering — 43 citations into it
• Automotive Engineering — 41 citations into it
• Information Systems — 30 citations into it; #3,733 of 8,771 by trust here, #3,640 by citations
• Robotics & Control — 14 citations into it

Whom Weisong Shi trusts overall

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

1. Haowen Chan
2. Chris Karlof
3. Adrian Perrig
4. Ross B. Girshick
5. David A. Wagner
6. Lingxuan Hu
7. Kaiming He
8. Anthony D. Wood
9. Weichao Wang
10. Dushyanth Narayanan

Who trusts Weisong Shi overall

1. Michele De Donno
2. Saad Khan
3. Koen Tange
4. S. Parkinson
5. Yang Zhao
6. Antonio Brogi
7. Nicola Dragoni
8. Yongrui Qin
9. Adil Rasheed
10. Najmul Hassan

Papers from Weisong Shi's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
4. Histograms of oriented gradients for human detection
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Edge Computing for Autonomous Driving: Opportunities and Challenges (2019) — 652 citations
• Wireless Sensor Network Security: A Survey (2006) — 582 citations
• Resource Scheduling in Edge Computing: A Survey (2021) — 484 citations
• Computing Systems for Autonomous Driving: State of the Art and Challenges (2020) — 396 citations
• The Promise of Edge Computing (2016) — 1,093 citations