Qi Zhang
Computer Networks and Communications · Journal of Internet Services and Applications · 2010–2020
A researcher in the Science corpus: 5 papers; trusts 34 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 53 citations into it; #7,592 of 9,886 by trust here, #1,539 by citations
- Artificial Intelligence — 38 citations into it; #19,079 of 35,345 by trust here, #31,361 by citations
- Reinforcement Learning — 37 citations into it; #1,374 of 2,242 by trust here, #2,125 by citations
- Information Systems — 28 citations into it; #6,547 of 8,771 by trust here, #1,707 by citations
- Electrical and Electronic Engineering — 14 citations into it
- Hardware and Architecture — 7 citations into it
- Game & Decision Theory — 6 citations into it
- Computational Theory and Mathematics — 5 citations into it
Whom Qi Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Muthu Dayalan
- Jakob N. Foerster
- Ming Tan
- Nuno Santos
- Bhuvan Urgaonkar
- Tabish Rashid
- Mikayel Samvelyan
- Gregory Farquhar
- Daewoo Kim
- Albert G. Greenberg
Who trusts Qi Zhang overall
- Niroshinie Fernando
- Ji Liu
- Ashraf A. Darwish
- Tabish Rashid
- Alessio Botta
- Sai Qian Zhang
- Seng Wai Loke
- Esther Pacitti
- Aboul Ella Otifey Hassanien
- Ben Kehoe
Papers from Qi Zhang's perspective
Ordered by how strongly the researchers Qi Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Human-level control through deep reinforcement learning
- Learning Multiple Layers of Features from Tiny Images
- Reinforcement Learning: An Introduction
Their papers
- Dynamic Controller Provisioning in Software Defined Networks (2013) — 378 citations
- Succinct and Robust Multi-Agent Communication With Temporal Message Control (2020) — 84 citations
- Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control (2019) — 134 citations
- Data Center Network Virtualization: A Survey (2013) — 683 citations
- Cloud computing: state-of-the-art and research challenges (2010) — 3,978 citations