| 2025 | PIMRC | Robotic Surveillance with Channel State Information for Object Tracking and Counting. | Rojin Zandi, Kian Behzad, Maral Mordad, Hojjat Salehinejad, Milad Siami |
| 2024 | ICASSP | Robustness Evaluation of Machine Learning Models for Robot Arm Action Recognition in Noisy Environments. | Elaheh Motamedi, Kian Behzad, Rojin Zandi, Hojjat Salehinejad, Milad Siami |
| 2024 | PIMRC | Enhancing Robotic Arm Activity Recognition with Vision Transformers and Wavelet-Transformed Channel State Information. | Rojin Zandi, Kian Behzad, Elaheh Motamedi, Hojjat Salehinejad, Milad Siami |
| 2023 | ICASSP | Multi-Observation Hidden Semi-Markov Model for Photoplethysmogram Signal Semantic Segmentation. | Navid Hasanzadeh, Shahrokh Valaee, Hojjat Salehinejad |
| 2023 | ICASSP | Representation Learning of Clinical Multivariate Time Series with Random Filter Banks. | Alireza Keshavarzian, Hojjat Salehinejad, Shahrokh Valaee |
| 2023 | ICASSP | Joint Human Orientation-Activity Recognition Using WIFI Signals for Human-Machine Interaction. | Hojjat Salehinejad, Navid Hasanzadeh, Radomir Djogo, Shahrokh Valaee |
| 2022 | ICASSP | LiteHAR: Lightweight Human Activity Recognition from WIFI Signals with Random Convolution Kernels. | Hojjat Salehinejad, Shahrokh Valaee |
| 2021 | ICASSP | A Framework for Pruning Deep Neural Networks Using Energy-Based Models. | Hojjat Salehinejad, Shahrokh Valaee |
| 2021 | ICASSP | Pruning of Convolutional Neural Networks using ising Energy Model. | Hojjat Salehinejad, Shahrokh Valaee |
| 2020 | ICASSP | A Probabilistic Scheme for Representation Learning with Radial Transform Images. | Hojjat Salehinejad, Shahrokh Valaee |
| 2019 | GLOBECOM | Recurrent Neural Networks for Online Travel Mode Detection. | Elton Figueiredo de S. Soares, Hojjat Salehinejad, Carlos Alberto Vieira Campos, Shahrokh Valaee |
| 2019 | ICASSP | Ising-dropout: A Regularization Method for Training and Compression of Deep Neural Networks. | Hojjat Salehinejad, Shahrokh Valaee |
| 2018 | ICASSP | Image Augmentation Using Radial Transform for Training Deep Neural Networks. | Hojjat Salehinejad, Shahrokh Valaee, Tim Dowdell, Joseph Barfett |
| 2018 | ICASSP | Generalization of Deep Neural Networks for Chest Pathology Classification in X-Rays Using Generative Adversarial Networks. | Hojjat Salehinejad, Shahrokh Valaee, Tim Dowdell, Errol Colak, Joseph Barfett |
| 2017 | PIMRC | A convolutional neural network for search term detection. | Hojjat Salehinejad, Joseph Barfett, Parham Aarabi, Shahrokh Valaee, Errol Colak, Bruce Gray, Tim Dowdell |
| 2016 | CEC | Exploration enhancement in ensemble micro-differential evolution. | Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh |
| 2015 | DeSE | Recurrent Neural Networks for Sequential Phenotype Prediction in Genomics. | Farhad Pouladi, Hojjat Salehinejad, Amir Mohammad Gilani |
| 2014 | CEC | Computing opposition by involving entire population. | Shahryar Rahnamayan, Jude Jesuthasan, Farid Bourennani, Hojjat Salehinejad, Greg F. Naterer |
| 2014 | CEC | Type-II opposition-based differential evolution. | Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh |
| 2014 | CEC | Micro-differential evolution with vectorized random mutation factor. | Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh, Stephen Y. Chen |
| 2014 | PIMRC | 3D localization in large-scale Wireless Sensor Networks: A micro-differential evolution approach. | Hojjat Salehinejad, Robert Zadeh, Ramiro Liscano, Shahryar Rahnamayan |
| 2013 | DeSE | Optimum Localization of Wind Turbine Sites Using Opposition Based Ant Colony Optimization. | Farhad Pouladi, Amir Mohammad Gilani, Bahareh Nikpour, Hojjat Salehinejad |
| 2011 | DeSE | Intelligent Navigation of Emergency Vehicles. | Hojjat Salehinejad, Farhad Pouladi, Siamak Talebi |