| 2023 | AAAI | Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning. | Afshin Abdi, Saeed Rashidi, Faramarz Fekri, Tushar Krishna |
| 2022 | ICASSP | Deep Sequential Beamformer Learning for Multipath Channels in Mmwave Communication Systems. | Aditya Sant, Afshin Abdi, Joseph Soriaga |
| 2022 | ITW | A Machine Learning Framework for Privacy-Aware Distributed Functional Compression over AWGN Channels. | Yashas Malur Saidutta, Faramarz Fekri, Afshin Abdi |
| 2021 | ISIT | Analog Joint Source-Channel Coding for Distributed Functional Compression using Deep Neural Networks. | Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri |
| 2021 | ITW | A General Framework for the Design of Compressive Sensing using Density Evolution. | Hang Zhang, Afshin Abdi, Faramarz Fekri |
| 2020 | AAAI | Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning. | Afshin Abdi, Faramarz Fekri |
| 2020 | AAAI | Indirect Stochastic Gradient Quantization and Its Application in Distributed Deep Learning. | Afshin Abdi, Faramarz Fekri |
| 2019 | DCC | 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 |
| 2019 | ICASSP | Analysis of Sparse-integer Measurement Matrices in Compressive Sensing. | Hang Zhang, Afshin Abdi, Faramarz Fekri |
| 2019 | ISIT | Joint Source-Channel Coding for Gaussian Sources over AWGN Channels using Variational Autoencoders. | Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri |
| 2019 | ISIT | Compressive Sensing with a Multiple Convex Sets Domain. | Hang Zhang, Afshin Abdi, Faramarz Fekri |
| 2018 | ITW | Sparse Recovery of Sign Vectors under Uncertain Sensing Matrices. | Hang Zhang, Afshin Abdi, Faramarz Fekri |
| 2017 | ICASSP | Mixture source identification in non-stationary data streams with applications in compression. | Afshin Abdi, Faramarz Fekri |
| 2017 | ICASSP | Learning dictionary for efficient signal compression. | Afshin Abdi, Ali Payani, Faramarz Fekri |
| 2017 | ISIT | Optimal sensor selection in the presence of noise and interference. | Afshin Abdi, Faramarz Fekri |
| 2017 | ITW | Computing framework in biological cells via stochastic methods. | Afshin Abdi, Arash Einolghozati, Faramarz Fekri |
| 2017 | ITW | Recovery of sign vectors in quadratic compressed sensing. | Hang Zhang, Afshin Abdi, Faramarz Fekri |
| 2017 | ITW | Compressive sensing with energy constraint. | Hang Zhang, Afshin Abdi, Faramarz Fekri |
| 2015 | ITW | Source identification and compression of mixture data from finite observations. | Afshin Abdi, Faramarz Fekri |
| 2005 | ICASSP | On the design of FIR optimum orthonormal filter banks. | Afshin Abdi, Kambiz Nayebi |