Ehsan Saboori

Ehsan Saboori

Concordia University

H-index: 6

North America-Canada

About Ehsan Saboori

Ehsan Saboori, With an exceptional h-index of 6 and a recent h-index of 4 (since 2020), a distinguished researcher at Concordia University, specializes in the field of Deep Learning, Artificial intelligence, EdgeAI, Embedded Systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

QGen: On the Ability to Generalize in Quantization Aware Training

Tensor Decomposition Rank Exploration for Neural Network Compression

System and Method to Utilize a Reduced Image Resolution for Computer Vision Applications

DeepliteRT: Computer Vision at the Edge

Data Free Neural Network Pruning

DeepGEMM: Accelerated Ultra Low-Precision Inference on CPU Architectures using Lookup Tables

QReg: On regularization effects of quantization

Optimization of Computer Vision Software Models for Deployment to Performance Constrained Embedded Processors

Ehsan Saboori Information

University

Position

___

Citations(all)

164

Citations(since 2020)

65

Cited By

117

hIndex(all)

6

hIndex(since 2020)

4

i10Index(all)

4

i10Index(since 2020)

2

Email

University Profile Page

Concordia University

Google Scholar

View Google Scholar Profile

Ehsan Saboori Skills & Research Interests

Deep Learning

Artificial intelligence

EdgeAI

Embedded Systems

Top articles of Ehsan Saboori

Title

Journal

Author(s)

Publication Date

QGen: On the Ability to Generalize in Quantization Aware Training

arXiv preprint arXiv:2404.11769

MohammadHossein AskariHemmat

Ahmadreza Jeddi

Reyhane Askari Hemmat

Ivan Lazarevich

Alexander Hoffman

...

2024/4/17

Tensor Decomposition Rank Exploration for Neural Network Compression

2024/2/1

System and Method to Utilize a Reduced Image Resolution for Computer Vision Applications

2024/2/1

DeepliteRT: Computer Vision at the Edge

arXiv preprint arXiv:2309.10878

Saad Ashfaq

Alexander Hoffman

Saptarshi Mitra

Sudhakar Sah

MohammadHossein AskariHemmat

...

2023/9/19

Data Free Neural Network Pruning

2023/5/11

DeepGEMM: Accelerated Ultra Low-Precision Inference on CPU Architectures using Lookup Tables

Darshan C Ganji

Saad Ashfaq

Ehsan Saboori

Sudhakar Sah

Saptarshi Mitra

...

2023

QReg: On regularization effects of quantization

arXiv preprint arXiv:2206.12372

MohammadHossein AskariHemmat

Reyhane Askari Hemmat

Alex Hoffman

Ivan Lazarevich

Ehsan Saboori

...

2022/6/24

Optimization of Computer Vision Software Models for Deployment to Performance Constrained Embedded Processors

Davis Sawyer

Benjamin M Rocci

Sudhakar Sah

Ehsan Saboori

Olivier Mastropietro

2022/3/29

System and Method for Automated Design Space Determination for Deep Neural Networks

2022/10/20

Accelerating deep learning model inference on arm cpus with ultra-low bit quantization and runtime

arXiv preprint arXiv:2207.08820

Saad Ashfaq

MohammadHossein AskariHemmat

Sudhakar Sah

Ehsan Saboori

Olivier Mastropietro

...

2022/7/18

On causal inference for data-free structured pruning

arXiv preprint arXiv:2112.10229

Martin Ferianc

Anush Sankaran

Olivier Mastropietro

Ehsan Saboori

Quentin Cappart

2021/12/19

System and Method for Automated Precision Configuration for Deep Neural Networks

2021/11/11

Deeplite neutrino: An end-to-end framework for constrained deep learning model optimization

arXiv preprint arXiv:2101.04073

Anush Sankaran

Olivier Mastropietro

Ehsan Saboori

Yasser Idris

Davis Sawyer

...

2021/1/11

See List of Professors in Ehsan Saboori University(Concordia University)

Co-Authors

H-index: 41
Mohammad Bagher Menhaj

Mohammad Bagher Menhaj

Amirkabir University of Technology

H-index: 26
Mahmoud Naghibzadeh

Mahmoud Naghibzadeh

Ferdowsi University of Mashhad

H-index: 19
Modjtaba Rouhani

Modjtaba Rouhani

Ferdowsi University of Mashhad

H-index: 18
Amin Milani Fard

Amin Milani Fard

New York Institute of Technology

H-index: 16
Maghsoud Abbaspour

Maghsoud Abbaspour

Shahid Beheshti University

H-index: 14
Samar Abdi

Samar Abdi

Concordia University

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