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Mohammad Loni
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2020 – today
- 2023
- [j4]Hamid Mousavi
, Mohammad Loni
, Mina Alibeigi
, Masoud Daneshtalab
:
DASS: Differentiable Architecture Search for Sparse Neural Networks. ACM Trans. Embed. Comput. Syst. 22(5s): 105:1-105:21 (2023) - [c16]Mohammad Loni, Aditya Mohan, Mehdi Asadi, Marius Lindauer:
Learning Activation Functions for Sparse Neural Networks. AutoML 2023: 16/1-19 - [c15]Maghsood Salimi
, Mohammad Loni
, Marjan Sirjani
:
Learning Activation Functions for Adversarial Attack Resilience in CNNs. ICAISC (1) 2023: 203-214 - [c14]Maghsood Salimi
, Mohammad Loni
, Marjan Sirjani
, Antonio Cicchetti
, Sara Abbaspour Asadollah
:
SARAF: Searching for Adversarial Robust Activation Functions. ICMVA 2023 - [i5]Mehdi Asadi, Fatemeh Poursalim, Mohammad Loni, Masoud Daneshtalab, Mikael Sjödin, Arash Gharehbaghi:
Accurate Detection of Paroxysmal Atrial Fibrillation with Certified-GAN and Neural Architecture Search. CoRR abs/2301.10173 (2023) - [i4]Mina Ashoury, Mohammad Loni, Farshad Khunjush, Masoud Daneshtalab:
Auto-SpMV: Automated Optimizing SpMV Kernels on GPU. CoRR abs/2302.05662 (2023) - [i3]Mohammad Loni, Aditya Mohan, Mehdi Asadi, Marius Lindauer
:
Learning Activation Functions for Sparse Neural Networks. CoRR abs/2305.10964 (2023) - [i2]Maghsood Salimi, Mohammad Loni, Sara Afshar, Marjan Sirjani, Antonio Cicchetti:
ConstScene: Dataset and Model for Advancing Robust Semantic Segmentation in Construction Environments. CoRR abs/2312.16516 (2023) - 2022
- [b1]Mohammad Loni:
Efficient Design of Scalable Deep Neural Networks for Resource-Constrained Edge Devices. Mälardalen University, Sweden, 2022 - [j3]Mohammad Loni
, Ali Zoljodi
, Amin Majd, Byung Hoon Ahn
, Masoud Daneshtalab
, Mikael Sjödin
, Hadi Esmaeilzadeh
:
FastStereoNet: A Fast Neural Architecture Search for Improving the Inference of Disparity Estimation on Resource-Limited Platforms. IEEE Trans. Syst. Man Cybern. Syst. 52(8): 5222-5234 (2022) - [c13]Mohammad Loni, Hamid Mousavi, Mohammad Riazati, Masoud Daneshtalab, Mikael Sjödin:
TAS: Ternarized Neural Architecture Search for Resource-Constrained Edge Devices. DATE 2022: 1115-1118 - [c12]Ali Zoljodi
, Mohammad Loni
, Sadegh Abadijou
, Mina Alibeigi
, Masoud Daneshtalab
:
3DLaneNAS: Neural Architecture Search for Accurate and Light-Weight 3D Lane Detection. ICANN (1) 2022: 404-415 - [i1]Hamid Mousavi, Mohammad Loni, Mina Alibeigi, Masoud Daneshtalab:
PR-DARTS: Pruning-Based Differentiable Architecture Search. CoRR abs/2207.06968 (2022) - 2021
- [c11]Najda Vidimlic, Alexandra Levin, Mohammad Loni, Masoud Daneshtalab:
Image Synthesisation and Data Augmentation for Safe Object Detection in Aircraft Auto-landing System. VISIGRAPP (5: VISAPP) 2021: 123-135 - 2020
- [j2]Zahra Ebrahimi, Mohammad Loni, Masoud Daneshtalab
, Arash Gharehbaghi
:
A review on deep learning methods for ECG arrhythmia classification. Expert Syst. Appl. X 7: 100033 (2020) - [j1]Mohammad Loni, Sima Sinaei, Ali Zoljodi, Masoud Daneshtalab
, Mikael Sjödin:
DeepMaker: A multi-objective optimization framework for deep neural networks in embedded systems. Microprocess. Microsystems 73: 102989 (2020) - [c10]Mohammad Loni, Ali Zoljodi, Daniel Maier, Amin Majd, Masoud Daneshtalab, Mikael Sjödin, Ben H. H. Juurlink, Reza Akbari
:
DenseDisp: Resource-Aware Disparity Map Estimation by Compressing Siamese Neural Architecture. CEC 2020: 1-8
2010 – 2019
- 2019
- [c9]Adnan Ghaderi, Masoud Daneshtalab, Mohammad Ashjaei, Mohammad Loni, Saad Mubeen, Mikael Sjödin:
Design Challenges in Hardware Development of Time-Sensitive Networking: A Research Plan. CPS Summer School, PhD Workshop 2019: 29-38 - [c8]Najmeh Nazari, Mohammad Loni, Mostafa E. Salehi, Masoud Daneshtalab, Mikael Sjödin:
TOT-Net: An Endeavor Toward Optimizing Ternary Neural Networks. DSD 2019: 305-312 - [c7]Maghsood Salimi, Amin Majd, Mohammad Loni, Tiberiu Seceleanu, Cristina Seceleanu
, Marjan Sirjani, Masoud Daneshtalab, Elena Troubitsyna:
Multi-objective Optimization of Real-Time Task Scheduling Problem for Distributed Environments. ECBS 2019: 13:1-13:9 - [c6]Mohammad Loni, Ali Zoljodi, Sima Sinaei, Masoud Daneshtalab
, Mikael Sjödin:
NeuroPower: Designing Energy Efficient Convolutional Neural Network Architecture for Embedded Systems. ICANN (1) 2019: 208-222 - [c5]Neda Maleki, Mohammad Loni, Masoud Daneshtalab, Mauro Conti
, Hossein Fotouhi:
SoFA: A Spark-oriented Fog Architecture. IECON 2019: 2792-2799 - [c4]Amin Majd, Mohammad Loni, Golnaz Sahebi, Masoud Daneshtalab, Elena Troubitsyna:
A Cloud Based Super-Optimization Method to Parallelize the Sequential Code's Nested Loops. MCSoC 2019: 281-287 - 2018
- [c3]Nasrin Akbari, Mehdi Modarressi, Masoud Daneshtalab
, Mohammad Loni:
A Customized Processing-in-Memory Architecture for Biological Sequence Alignment. ASAP 2018: 1-8 - [c2]Mohammad Loni, Masoud Daneshtalab, Mikael Sjödin:
ADONN: Adaptive Design of Optimized Deep Neural Networks for Embedded Systems. DSD 2018: 397-404 - [c1]Mohammad Loni, Amin Majd, Abdolah Loni, Masoud Daneshtalab, Mikael Sjödin, Elena Troubitsyna:
Designing Compact Convolutional Neural Network for Embedded Stereo Vision Systems. MCSoC 2018: 244-251
Coauthor Index
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last updated on 2024-08-05 20:25 CEST by the dblp team
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