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20192021
most citedTransferable Clean-Label Poisoning Attacks on Deep Neural Nets

137 citations · 144 across the 5 of their papers we have counts for

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eess.SP2020

High-Bandwidth Spatial Equalization for mmWave Massive MU-MIMO with Processing-In-Memory

Oscar Castañeda, Sven Jacobsson, Giuseppe Durisi +2

All-digital basestation (BS) architectures enable superior spectral efficiency compared to hybrid solutions in massive multi-user MIMO systems. However, supporting large bandwidths…

eess.SP2020

Sparse Beamspace Equalization for Massive MU-MIMO mmWave Systems

Seyed Hadi Mirfarshbafan, Christoph Studer

We propose equalization-based data detection algorithms for all-digital millimeter-wave (mmWave) massive multiuser multiple-input multiple-out (MU-MIMO) systems that exploit sparsi…

eess.SP2019

Reducing the Complexity of Fingerprinting-Based Positioning using Locality-Sensitive Hashing

Larry Tang, Ramina Ghods, Christoph Studer

Localization of wireless transmitters based on channel state information (CSI) fingerprinting finds widespread use in indoor as well as outdoor scenarios. Fingerprinting localizati…

eess.SP2019

BEACHES: Beamspace Channel Estimation for Multi-Antenna mmWave Systems and Beyond

Ramina Ghods, Alexandra Gallyas-Sanhueza, Seyed Hadi Mirfarshbafan +1

Massive multi-antenna millimeter wave (mmWave) and terahertz wireless systems promise high-bandwidth communication to multiple user equipments in the same time-frequency resource.…

eess.SP2019

Deep Unfolding for Communications Systems: A Survey and Some New Directions

Alexios Balatsoukas-Stimming, Christoph Studer

Deep unfolding is a method of growing popularity that fuses iterative optimization algorithms with tools from neural networks to efficiently solve a range of tasks in machine learn…