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2021

Vukovich, Katarina; Hejazi, Farzam; Rahnavard, Nazanin

MAP-CSI: Single-site Map-Assisted Localization Using Massive MIMO CSI Conference

IEEE Global Communications Conference (GLOBECOM), 2021.

Links | BibTeX | Tags: Deep Learning, Localization, MIMO, REM, Wireless Communication

2020

Joneidi, Mohsen; Vahidian, Saeed; Esmaeili, Ashkan; Wang, Wijia; Rahnavard, Nazanin; Lin, Bill; Shah, Mubarak

Select to Better Learn: Fast and Accurate Deep Learning using Data Selection from Nonlinear Manifolds Conference

IEEE Conference on Computer Vision and Pattern Recognition (CVPR '20) 2020.

Links | BibTeX | Tags: Active Learning, Data Selection, Deep Learning, Few Shot Learning, Generative Adversarial Networks, Graph Summarization, Openset Detection, REM, Representative Selection

Zaeemzadeh, Alireza; Rahnavard, Nazanin; Shah, Mubarak

Norm-Preservation: Why Residual Networks Can Become Extremely Deep? Journal Article

In: IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 2020.

Links | BibTeX | Tags: Deep Learning, Deep Learning Theory, REM

Joneidi, Mohsen; Alkhouri, Ismail; Hejazikookamari, Farzam; Rahnavard, Nazanin

Large-Scale Spectrum Occupancy Learning via Tensor Decomposition and LSTM Networks Conference

IEEE 2020 International RADAR Conference 2020.

Links | BibTeX | Tags: Cognitive Radio Networks, Deep Learning, REM, Spectrum Sensing, Tensor Analysis, Wireless Communication, Wireless Networks

Hejazikookamari, Farzam; Joneidi, Mohsen; Rahnavard, Nazanin

A Tensor-based Localization Framework Exploiting Phase Interferometry Measurements Conference

IEEE 2020 International RADAR Conference 2020.

Links | BibTeX | Tags: Cognitive Radio Networks, Localization, Radio Cartography, REM, Sensor Networks, Spectrum Sensing, Tensor Analysis

2019

Taheri Sadr, Mojtaba; Joneidi, Mohsen; Rahnavard, Nazanin

EEG Signal Dimensionality Reduction and Classification using Tensor Decomposition and Deep Convolutional Neural Networks Conference

IEEE 29th International Workshop on Machine learning for Signal Processing (MLSP), 2019.

Links | BibTeX | Tags: Classification, Deep Learning, EEG Signal, REM, Tensor Analysis

Karim, Md Nazmul; Zaeemzadeh, Alireza; Rahnavard, Nazanin

RL-NCS: Learning Based Data-driven Approach for Online Non-uniform Compressive Sensing Conference

IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP), PA, 2019.

Links | BibTeX | Tags: CCSS, Compressive Sensing, Compressive Sensing Application, Deep Learning, LSTM, Reinforcement Learning, REM

Haddock, J.; Needell, D.; Zaeemzadeh, Alireza; Rahnavard, N

Convergence of Iterative Hard Thresholding Variants with Application to Asynchronous Parallel Methods for Sparse Recovery Conference

53rd Asilomar Conference on Signals, Systems, and Computers, 2019.

Links | BibTeX | Tags: CCSS, Compressive Sensing, Compressive Sensing Reconstruction, REM

Atallah, Elie; Enyioha, Chinwendu; Rahnavard, Nazanin

Distributed Asynchronous Random Projection Algorithm (DARPA) with Arbitrary Uniformly Bounded Delay Conference

57th Annual Allerton Conference on Communication, Control, and Computing, 2019.

Links | BibTeX | Tags: Distributed Optimization, REM

Joneidi, Mohsen; Yazdani, Hassan; Vosoughi, Azadeh; Rahnavard, Nazanin

Source Localization and Tracking for Dynamic Radio Cartography using Directional Antennas Conference

Source Localization and Tracking for Dynamic Radio Cartography using Directional Antennas, 2019, ISBN: 978-1-7281-1207-7.

Links | BibTeX | Tags: Cognitive Radio Networks, Compressive Sensing, Compressive Sensing Application, Directional Antennas, Localization, Radio Cartography, REM, Sensor Networks, Spectrum Sensing

Zaeemzadeh, Alireza; Joneidi, Mohsen; Rahnavard, Nazanin; Shah, Mubarak

Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer Vision Conference

IEEE Conference on Computer Vision and Pattern Recognition (CVPR '19), Long Beach, CA, 2019.

Links | BibTeX | Tags: Active Learning, Data Selection, Deep Learning, Generative Adversarial Networks, REM, Representative Selection, Video Summarization

2018

Zaeemzadeh, Alireza; Haddock, Jamie; Rahnavard, Nazanin; Needell, Deanna

A Bayesian Approach for Asynchronous Parallel Sparse Recovery Conference

Asilomar Conference on Signals, Systems, and Computers, 2018.

Links | BibTeX | Tags: Bayesian Data Analysis, CCSS, Compressive Sensing, Compressive Sensing Reconstruction, REM

Joneidi, Mohsen; Zaeemzadeh, Alireza; Shahrasbi, Behzad; Qi, Guojun; Rahnavard, Nazanin

E-optimal Sensor Selection for Compressive Sensing-based Purposes Journal Article

In: IEEE Transactions on Big Data , 2018.

Links | BibTeX | Tags: Cognitive Radio Networks, Compressive Sensing, Compressive Sensing Application, REM, Sensor Selection, Spectrum Sensing