Geert Leus
Electrical and Electronic Engineering · 2003–2018
A researcher in the Science corpus: 8 papers; trusts 45 researchers and is trusted by 42 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 60 citations into it; #856 of 16,539 by trust here, #3,822 by citations
- Computer Networks and Communications — 45 citations into it; #6,940 of 9,886 by trust here, #5,518 by citations
- Artificial Intelligence — 25 citations into it; #29,369 of 35,345 by trust here, #32,362 by citations
- Computational Mechanics — 20 citations into it; #3,257 of 10,001 by trust here, #7,884 by citations
- Signal Processing — 13 citations into it; #2,259 of 7,572 by trust here, #5,086 by citations
- Aerospace Engineering — 9 citations into it
- Statistical and Nonlinear Physics — 9 citations into it; #8,090 of 10,127 by trust here, #8,981 by citations
- Optimization & Training — 6 citations into it
Whom Geert Leus trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nihar Jindal
- Robert Tibshirani
- Vijay Venkateswaran
- Trevor J. Hastie
- Omar El Ayach
- Hui Zou
- Akbar M. Sayeed
- Richard Baraniuk
- Ahmed Alkhateeb
- Paul Tseng
Who trusts Geert Leus overall
- Ahmed Alkhateeb
- Robert W. Heath
- Shajahan Kutty
- Yudong Chen
- Zhen Gao
- Zai Yang
- David J. Biagioni
- Linglong Dai
- Yong Zeng
- Jeffrey G. Andrews
Papers from Geert Leus's perspective
Ordered by how strongly the researchers Geert Leus trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Regression Shrinkage and Selection via the Lasso
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Deep Learning
- Densely Connected Convolutional Networks
- Learning Multiple Layers of Features from Tiny Images
- Efficient Estimation of Word Representations in Vector Space
Their papers
- Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems (2014) — 2,473 citations
- Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems (2014) — 1,150 citations
- Hybrid precoding for millimeter wave cellular systems with partial channel knowledge (2013) — 314 citations
- Optimal training design for MIMO OFDM systems in mobile wireless channels (2003) — 845 citations
- Convolutional Neural Network Architectures for Signals Supported on Graphs (2018) — 318 citations
- Spectrum Sensing for Cognitive Radio : State-of-the-Art and Recent Advances (2012) — 1,115 citations
- Sparsity-Cognizant Total Least-Squares for Perturbed Compressive Sampling (2010) — 427 citations
- Pilot-Assisted Time-Varying Channel Estimation for OFDM Systems (2007) — 451 citations