Song Guo

Artificial Intelligence · IEEE Internet of Things Journal · 2011–2021

A researcher in the Science corpus: 8 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 52 citations into it
• Computer Networks and Communications — 27 citations into it
• Optimization & Training — 20 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Reinforcement Learning — 9 citations into it

Whom Song Guo trusts overall

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

1. Roy T. Fielding
2. Dominique Guinard
3. Hongji Huang
4. Aman Kansal
5. Patrik Spiess
6. Alex Krizhevsky
7. Bodhi Priyantha
8. Tim O'Shea
9. Guan Gui
10. Vlad M. Trifa

Who trusts Song Guo overall

1. Elias Yaacoub

Papers from Song Guo's perspective

Ordered by how strongly the researchers Song Guo 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. Learning Multiple Layers of Features from Tiny Images
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Human-level control through deep reinforcement learning
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Reinforcement Learning: An Introduction
10. Large Scale Distributed Deep Networks

Their papers

• Information and Communications Technologies for Sustainable Development Goals: State-of-the-Art, Needs and Perspectives (2018) — 465 citations
• Green Industrial Internet of Things Architecture: An Energy-Efficient Perspective (2016) — 382 citations
• A Survey on Energy Internet: Architecture, Approach, and Emerging Technologies (2018) — 331 citations
• A Survey of Incentive Mechanism Design for Federated Learning (2021) — 351 citations
• A Learning-Based Incentive Mechanism for Federated Learning (2020) — 534 citations
• On the Convergence of Quantized Parallel Restarted SGD for Serverless Learning (2020)
• Deep Learning for Physical-Layer 5G Wireless Techniques: Opportunities, Challenges and Solutions (2019) — 386 citations
• The Web of Things: A Survey (Invited Paper) (2011) — 321 citations