Guan Gui
Electrical and Electronic Engineering · 2018–2020
A researcher in the Science corpus: 7 papers; trusts 22 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 76 citations into it; #7,159 of 16,539 by trust here, #6,008 by citations
- Computer Networks and Communications — 57 citations into it
- Artificial Intelligence — 37 citations into it
- Aerospace Engineering — 16 citations into it
- Signal Processing — 13 citations into it
- Building and Construction — 11 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
Whom Guan Gui trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Zubair Muhammad Fadlullah
- Ruslan Salakhutdinov
- Fengxiao Tang
- Nei Kato
- Zhiguo Ding
- Tim O'Shea
- Bichai Wang
- Hongji Huang
- Jehad M. Hamamreh
Who trusts Guan Gui overall
- Hongji Huang
- Fatima Hussain
- Mojtaba Vaezi
- Nei Kato
- S. Nawaz
- Syed Ali Hassan
- Yongjun Xu
- Song Guo
- Robert Schober
- Fengxiao Tang
Papers from Guan Gui's perspective
Ordered by how strongly the researchers Guan Gui trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Deep Learning
- A Fast Learning Algorithm for Deep Belief Nets
Their papers
- Deep Learning for Super-Resolution Channel Estimation and DOA Estimation Based Massive MIMO System (2018) — 727 citations
- Deep Learning for an Effective Nonorthogonal Multiple Access Scheme (2018) — 453 citations
- 6G: Opening New Horizons for Integration of Comfort, Security, and Intelligence (2020) — 571 citations
- Data-Driven Deep Learning for Automatic Modulation Recognition in Cognitive Radios (2019) — 630 citations
- Deep-Learning-Based Millimeter-Wave Massive MIMO for Hybrid Precoding (2019) — 424 citations
- A Survey on Resource Allocation for 5G Heterogeneous Networks: Current Research, Future Trends, and Challenges (2020) — 555 citations
- Deep Learning for Physical-Layer 5G Wireless Techniques: Opportunities, Challenges and Solutions (2019) — 386 citations