NeuroPower: Designing Energy Efficient Convolutional Neural Network Architecture for Embedded Systems. - Mohammad Loni; Ali Zoljodi; Sima Sinaei; Masoud Daneshtalab; Mikael Sjödin (ICANN (1), 2019)

DenseDisp: Resource-Aware Disparity Map Estimation by Compressing Siamese Neural Architecture. - Mohammad Loni; Ali Zoljodi; Daniel Maier 002; Amin Majd; Masoud Daneshtalab; Mikael Sjödin; Ben H. H. Juurlink; Reza Akbari (CEC, 2020)

DeepMaker: A multi-objective optimization framework for deep neural networks in embedded systems. - Mohammad Loni; Sima Sinaei; Ali Zoljodi; Masoud Daneshtalab; Mikael Sjödin (Microprocess. Microsystems, 2020)

3DLaneNAS: Neural Architecture Search for Accurate and Light-Weight 3D Lane Detection. - Ali Zoljodi; Mohammad Loni; Sadegh Abadijou; Mina Alibeigi; Masoud Daneshtalab (ICANN (1), 2022)

FastStereoNet: A Fast Neural Architecture Search for Improving the Inference of Disparity Estimation on Resource-Limited Platforms. - Mohammad Loni; Ali Zoljodi; Amin Majd; Byung Hoon Ahn; Masoud Daneshtalab; Mikael Sjödin; Hadi Esmaeilzadeh (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Analysing Robustness of Tiny Deep Neural Networks. - Hamid Mousavi; Ali Zoljodi; Masoud Daneshtalab (ADBIS (Short Papers), 2023)

Contrastive Learning for Lane Detection via cross-similarity. - Ali Zoljodi; Sadegh Abadijou; Mina Alibeigi; Masoud Daneshtalab (Pattern Recognit. Lett., 2024)

TrajectoryNAS: A Neural Architecture Search for Trajectory Prediction. - Ali Asghar Sharifi; Ali Zoljodi; Masoud Daneshtalab (Sensors, 2024)