Mohammad Loni

According to our database, Mohammad Loni authored at least 24 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

DASS: Differentiable Architecture Search for Sparse Neural Networks.

Hamid Mousavi, Mohammad Loni, Mina Alibeigi, Masoud Daneshtalab

ACM Trans. Embed. Comput. Syst., October, 2023

ConstScene: Dataset and Model for Advancing Robust Semantic Segmentation in Construction Environments.

Maghsood Salimi, Mohammad Loni, Sara Afshar, Marjan Sirjani, Antonio Cicchetti

CoRR, 2023

Auto-SpMV: Automated Optimizing SpMV Kernels on GPU.

Mina Ashoury, Mohammad Loni, Farshad Khunjush, Masoud Daneshtalab

CoRR, 2023

Accurate Detection of Paroxysmal Atrial Fibrillation with Certified-GAN and Neural Architecture Search.

Mehdi Asadi, Fatemeh Poursalim, Mohammad Loni, Masoud Daneshtalab, Mikael Sjödin, Arash Gharehbaghi

CoRR, 2023

Learning Activation Functions for Adversarial Attack Resilience in CNNs.

Maghsood Salimi, Mohammad Loni, Marjan Sirjani

Proceedings of the Artificial Intelligence and Soft Computing, 2023

Learning Activation Functions for Sparse Neural Networks.

Mohammad Loni, Aditya Mohan, Mehdi Asadi, Marius Lindauer

Proceedings of the International Conference on Automated Machine Learning, 2023

2022

Efficient Design of Scalable Deep Neural Networks for Resource-Constrained Edge Devices.

Mohammad Loni

PhD thesis, 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

PR-DARTS: Pruning-Based Differentiable Architecture Search.

Hamid Mousavi, Mohammad Loni, Mina Alibeigi, Masoud Daneshtalab

CoRR, 2022

3DLaneNAS: Neural Architecture Search for Accurate and Light-Weight 3D Lane Detection.

Ali Zoljodi, Mohammad Loni, Sadegh Abadijou, Mina Alibeigi, Masoud Daneshtalab

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

TAS: Ternarized Neural Architecture Search for Resource-Constrained Edge Devices.

Mohammad Loni, Hamid Mousavi, Mohammad Riazati, Masoud Daneshtalab, Mikael Sjödin

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

Image Synthesisation and Data Augmentation for Safe Object Detection in Aircraft Auto-landing System.

Najda Vidimlic, Alexandra Levin, Mohammad Loni, Masoud Daneshtalab

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

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

A review on deep learning methods for ECG arrhythmia classification.

Zahra Ebrahimi, Mohammad Loni, Masoud Daneshtalab, Arash Gharehbaghi

Expert Syst. Appl. X, 2020

DenseDisp: Resource-Aware Disparity Map Estimation by Compressing Siamese Neural Architecture.

Mohammad Loni, Ali Zoljodi, Daniel Maier, Amin Majd, Masoud Daneshtalab, Mikael Sjödin, Ben H. H. Juurlink, Reza Akbari

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

A Cloud Based Super-Optimization Method to Parallelize the Sequential Code's Nested Loops.

Amin Majd, Mohammad Loni, Golnaz Sahebi, Masoud Daneshtalab, Elena Troubitsyna

Proceedings of the 13th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2019

SoFA: A Spark-oriented Fog Architecture.

Neda Maleki, Mohammad Loni, Masoud Daneshtalab, Mauro Conti, Hossein Fotouhi

Proceedings of the IECON 2019, 2019

NeuroPower: Designing Energy Efficient Convolutional Neural Network Architecture for Embedded Systems.

Mohammad Loni, Ali Zoljodi, Sima Sinaei, Masoud Daneshtalab, Mikael Sjödin

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

Multi-objective Optimization of Real-Time Task Scheduling Problem for Distributed Environments.

Maghsood Salimi, Amin Majd, Mohammad Loni, Tiberiu Seceleanu, Cristina Seceleanu, Marjan Sirjani, Masoud Daneshtalab, Elena Troubitsyna

Proceedings of the 6th Conference on the Engineering of Computer Based Systems, 2019

TOT-Net: An Endeavor Toward Optimizing Ternary Neural Networks.

Najmeh Nazari, Mohammad Loni, Mostafa E. Salehi, Masoud Daneshtalab, Mikael Sjödin

Proceedings of the 22nd Euromicro Conference on Digital System Design, 2019

Design Challenges in Hardware Development of Time-Sensitive Networking: A Research Plan.

Adnan Ghaderi, Masoud Daneshtalab, Mohammad Ashjaei, Mohammad Loni, Saad Mubeen, Mikael Sjödin

Proceedings of the Cyber-Physical Systems PhD Workshop 2019, an event held within the CPS Summer School "Designing Cyber-Physical Systems, 2019

2018

Designing Compact Convolutional Neural Network for Embedded Stereo Vision Systems.

Mohammad Loni, Amin Majd, Abdolah Loni, Masoud Daneshtalab, Mikael Sjödin, Elena Troubitsyna

Proceedings of the 12th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2018

ADONN: Adaptive Design of Optimized Deep Neural Networks for Embedded Systems.

Mohammad Loni, Masoud Daneshtalab, Mikael Sjödin

Proceedings of the 21st Euromicro Conference on Digital System Design, 2018

A Customized Processing-in-Memory Architecture for Biological Sequence Alignment.

Nasrin Akbari, Mehdi Modarressi, Masoud Daneshtalab, Mohammad Loni

Proceedings of the 29th IEEE International Conference on Application-specific Systems, 2018