George C. Alexandropoulos
Electrical and Electronic Engineering · 2018–2023
A researcher in the Science corpus: 11 papers; trusts 36 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 233 citations into it; #3,713 of 16,539 by trust here, #2,937 by citations
- Aerospace Engineering — 154 citations into it; #2,264 of 6,421 by trust here, #559 by citations
- Computer Networks and Communications — 45 citations into it
- Artificial Intelligence — 15 citations into it
- Ocean Engineering — 12 citations into it
- Signal Processing — 8 citations into it
Whom George C. Alexandropoulos trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chongwen Huang
- Qingqing Wu
- Rui Zhang
- Emil Björnson
- Sha Hu
- Alessio Zappone
- Beixiong Zheng
- Fredrik Rusek
- Deepak Mishra
- T. Marzetta
Who trusts George C. Alexandropoulos overall
- Chongwen Huang
- Yuanwei Liu
- Emil Björnson
- Xidong Mu
- Qingqing Wu
- Rui Zhang
- Ruizhe Long
- Wankai Tang
- Ying-Chang Liang
- Tianwei Hou
Papers from George C. Alexandropoulos's perspective
Ordered by how strongly the researchers George C. Alexandropoulos trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
- Gradient-based learning applied to document recognition
- Beyond Massive MIMO: The Potential of Data Transmission With Large Intelligent Surfaces (IEEE Transactions on Signal Processing)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Smart radio environments empowered by reconfigurable AI meta-surfaces: an idea whose time has come (2019) — 1,115 citations
- Holographic MIMO Surfaces for 6G Wireless Networks: Opportunities, Challenges, and Trends (2019) — 1,237 citations
- Energy Efficient Multi-User MISO Communication Using Low Resolution Large Intelligent Surfaces (2018) — 309 citations
- Channel Estimation for RIS-Empowered Multi-User MISO Wireless Communications (2020) — 620 citations
- Dynamic Metasurface Antennas for 6G Extreme Massive MIMO Communications (2020) — 467 citations
- Holographic MIMO Communications: Theoretical Foundations, Enabling Technologies, and Future Directions (2022) — 335 citations
- Reconfigurable Intelligent Surfaces for Wireless Communications: Overview of Hardware Designs, Channel Models, and Estimation Techniques (2022) — 354 citations
- Deep Learning for UL/DL Channel Calibration in Generic Massive MIMO Systems (2019) — 71 citations
- Stacked Intelligent Metasurfaces for Efficient Holographic MIMO Communications in 6G (2023) — 374 citations
- Multi-Hop RIS-Empowered Terahertz Communications: A DRL-Based Hybrid Beamforming Design (2021) — 401 citations
- Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication (2018) — 2,870 citations