On the design of FIR optimum orthonormal filter banks. - Afshin Abdi; Kambiz Nayebi (ICASSP (4), 2005)

Source identification and compression of mixture data from finite observations. - Afshin Abdi; Faramarz Fekri (ITW Fall, 2015)

Error correction for approximate computing. - Hang Zhang 013; Afshin Abdi; Faramarz Fekri; Hadi Esmaeilzadeh (Allerton, 2016)

Micro-RNA profile detection via factor graphs. - Arash Einolghozati; Jun Zou 005; Afshin Abdi; Faramarz Fekri (SPAWC, 2016)

Near optimal representative subset selection from short sequences generated by a stationary source. - Ali Payani; Afshin Abdi; Faramarz Fekri (SPAWC, 2016)

Memory-assisted seismic signal compression based on dictionary learning and sparse coding. - Xin Tian 006; Afshin Abdi; Entao Liu; Faramarz Fekri (GlobalSIP, 2017)

Mixture source identification in non-stationary data streams with applications in compression. - Afshin Abdi; Faramarz Fekri (ICASSP, 2017)

Learning dictionary for efficient signal compression. - Afshin Abdi; Ali Payani; Faramarz Fekri (ICASSP, 2017)

Optimal sensor selection in the presence of noise and interference. - Afshin Abdi; Faramarz Fekri (ISIT, 2017)

Computing framework in biological cells via stochastic methods. - Afshin Abdi; Arash Einolghozati; Faramarz Fekri (ITW, 2017)

Recovery of sign vectors in quadratic compressed sensing. - Hang Zhang 013; Afshin Abdi; Faramarz Fekri (ITW, 2017)

Compressive sensing with energy constraint. - Hang Zhang 013; Afshin Abdi; Faramarz Fekri (ITW, 2017)

Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee. - Alireza Aghasi; Afshin Abdi; Nam Nguyen; Justin Romberg (NIPS, 2017)

Quantization in Molecular Signal Sensing via Biological Agents. - Afshin Abdi; Arash Einolghozati; Faramarz Fekri (IEEE Trans. Mol. Biol. Multi Scale Commun., 2017)

Sparse Recovery of Sign Vectors under Uncertain Sensing Matrices. - Hang Zhang 013; Afshin Abdi; Faramarz Fekri (ITW, 2018)

Seismic Signal Compression Through Delay Compensated and Entropy Constrained Dictionary Learning. - Xin Tian 006; Afshin Abdi; Entao Liu; Faramarz Fekri (SPAWC, 2018)

Advances in Seismic Data Compression via Learning from Data: Compression for Seismic Data Acquisition. - Ali Payani; Afshin Abdi; Xin Tian 006; Faramarz Fekri; Mohamed A. Mohandes (IEEE Signal Process. Mag., 2018)

Joint Source-Channel Coding of Gaussian sources over AWGN channels via Manifold Variational Autoencoders. - Yashas Malur Saidutta; Afshin Abdi; Faramarz Fekri (Allerton, 2019)

Recovering Noisy-Pseudo-Sparse Signals From Linear Measurements via l∞. - Hang Zhang 013; Afshin Abdi; Faramarz Fekri (Allerton, 2019)

M to 1 Joint Source-Channel Coding of Gaussian Sources via Dichotomy of the Input Space Based on Deep Learning. - Yashas Malur Saidutta; Afshin Abdi; Faramarz Fekri (DCC, 2019)

Analysis of Sparse-integer Measurement Matrices in Compressive Sensing. - Hang Zhang 013; Afshin Abdi; Faramarz Fekri (ICASSP, 2019)

Joint Source-Channel Coding for Gaussian Sources over AWGN Channels using Variational Autoencoders. - Yashas Malur Saidutta; Afshin Abdi; Faramarz Fekri (ISIT, 2019)

Compressive Sensing with a Multiple Convex Sets Domain. - Hang Zhang 013; Afshin Abdi; Faramarz Fekri (ISIT, 2019)

Reducing Communication Overhead via CEO in Distributed Training. - Afshin Abdi; Faramarz Fekri (SPAWC, 2019)

Nested Dithered Quantization for Communication Reduction in Distributed Training. - Afshin Abdi; Faramarz Fekri (CoRR, 2019)

Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning. - Afshin Abdi; Faramarz Fekri (AAAI, 2020)

Indirect Stochastic Gradient Quantization and Its Application in Distributed Deep Learning. - Afshin Abdi; Faramarz Fekri (AAAI, 2020)

Analog Compression and Communication for Federated Learning over Wireless MAC. - Afshin Abdi; Yashas Malur Saidutta; Faramarz Fekri (SPAWC, 2020)

VAE for Joint Source-Channel Coding of Distributed Gaussian Sources over AWGN MAC. - Yashas Malur Saidutta; Afshin Abdi; Faramarz Fekri (SPAWC, 2020)

Restructuring, Pruning, and Adjustment of Deep Models for Parallel Distributed Inference. - Afshin Abdi; Saeed Rashidi; Faramarz Fekri; Tushar Krishna (CoRR, 2020)

Fast Convex Pruning of Deep Neural Networks. - Alireza Aghasi; Afshin Abdi; Justin Romberg (SIAM J. Math. Data Sci., 2020)

Distributed learning and inference in deep models. - Afshin Abdi (2020)

Analog Joint Source-Channel Coding for Distributed Functional Compression using Deep Neural Networks. - Yashas Malur Saidutta; Afshin Abdi; Faramarz Fekri (ISIT, 2021)

A General Framework for the Design of Compressive Sensing using Density Evolution. - Hang Zhang 013; Afshin Abdi; Faramarz Fekri (ITW, 2021)

Joint Source-Channel Coding Over Additive Noise Analog Channels Using Mixture of Variational Autoencoders. - Yashas Malur Saidutta; Afshin Abdi; Faramarz Fekri (IEEE J. Sel. Areas Commun., 2021)

Deep Sequential Beamformer Learning for Multipath Channels in Mmwave Communication Systems. - Aditya Sant; Afshin Abdi; Joseph Soriaga (ICASSP, 2022)

A Machine Learning Framework for Privacy-Aware Distributed Functional Compression over AWGN Channels. - Yashas Malur Saidutta; Faramarz Fekri; Afshin Abdi (ITW, 2022)

A Machine Learning Framework for Distributed Functional Compression over Wireless Channels in IoT. - Yashas Malur Saidutta; Afshin Abdi; Faramarz Fekri (CoRR, 2022)

Structure Learning in Graphical Models from Indirect Observations. - Hang Zhang 013; Afshin Abdi; Faramarz Fekri (CoRR, 2022)

Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning. - Afshin Abdi; Saeed Rashidi; Faramarz Fekri; Tushar Krishna (AAAI, 2023)

Reinforcement Learning of Adaptive Acquisition Policies for Inverse Problems. - Gianluigi Silvestri; Fabio Valerio Massoli; Tribhuvanesh Orekondy; Afshin Abdi; Arash Behboodi (CoRR, 2024)

A General Compressive Sensing Construct Using Density Evolution. - Hang Zhang 013; Afshin Abdi; Faramarz Fekri (IEEE Trans. Signal Process., 2024)