Mohammad Motamedi

According to our database, Mohammad Motamedi authored at least 16 papers between 2009 and 2022.

Collaborative distances:

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

2022

Scalable CNN Synthesis for Resource-Constrained Embedded Platforms.

Mohammad Motamedi, Felix Portillo, Mahya Saffarpour, Daniel D. Fong, Soheil Ghiasi

IEEE Internet Things J., 2022

PARSRec: Explainable Personalized Attention-fused Recurrent Sequential Recommendation Using Session Partial Actions.

Ehsan Gholami, Mohammad Motamedi, Ashwin Aravindakshan

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

A Data-Centric Approach for Training Deep Neural Networks with Less Data.

Mohammad Motamedi, Nikolay Sakharnykh, Tim Kaldewey

CoRR, 2021

2020

Octopus: Context-Aware CNN Inference for IoT Applications.

Mohammad Motamedi, Felix Portillo, Mahya Saffarpour, Daniel D. Fong, Soheil Ghiasi

IEEE Embed. Syst. Lett., 2020

2019

Distill-Net: Application-Specific Distillation of Deep Convolutional Neural Networks for Resource-Constrained IoT Platforms.

Mohammad Motamedi, Felix Portillo, Daniel D. Fong, Soheil Ghiasi

ACM Trans. Embed. Comput. Syst., 2019

Cappuccino: Efficient CNN Inference Software Synthesis for Mobile System-on-Chips.

Mohammad Motamedi, Daniel D. Fong, Soheil Ghiasi

IEEE Embed. Syst. Lett., 2019

Resource-Scalable CNN Synthesis for IoT Applications.

Mohammad Motamedi, Felix Portillo, Mahya Saffarpour, Daniel D. Fong, Soheil Ghiasi

CoRR, 2019

2018

Ristretto: A Framework for Empirical Study of Resource-Efficient Inference in Convolutional Neural Networks.

Philipp Gysel, Jon J. Pimentel, Mohammad Motamedi, Soheil Ghiasi

IEEE Trans. Neural Networks Learn. Syst., 2018

2017

PLACID: A Platform for FPGA-Based Accelerator Creation for DCNNs.

Mohammad Motamedi, Philipp Gysel, Soheil Ghiasi

ACM Trans. Multim. Comput. Commun. Appl., 2017

Machine Intelligence on Resource-Constrained IoT Devices: The Case of Thread Granularity Optimization for CNN Inference.

Mohammad Motamedi, Daniel D. Fong, Soheil Ghiasi

ACM Trans. Embed. Comput. Syst., 2017

Cappuccino: Efficient Inference Software Synthesis for Mobile System-on-Chips.

Mohammad Motamedi, Daniel D. Fong, Soheil Ghiasi

CoRR, 2017

2016

Fast and Energy-Efficient CNN Inference on IoT Devices.

Mohammad Motamedi, Daniel D. Fong, Soheil Ghiasi

CoRR, 2016

Hardware-oriented Approximation of Convolutional Neural Networks.

Philipp Gysel, Mohammad Motamedi, Soheil Ghiasi

CoRR, 2016

Design space exploration of FPGA-based Deep Convolutional Neural Networks.

Mohammad Motamedi, Philipp Gysel, Venkatesh Akella, Soheil Ghiasi

Proceedings of the 21st Asia and South Pacific Design Automation Conference, 2016

2010

Robust adaptive control of a micro telemanipulation system using sliding mode-based force estimation.

Mohammad Motamedi, Gholamreza Vossoughi, Mohammad Taghi Ahmadian, Seyed Mehdi Rezaei, Mohammad Zareinejad, Mozafar Saadat

Proceedings of the American Control Conference, 2010

2009

Robust control of a piezoelectric stage under thermal and external load disturbances.

Mohammad Motamedi, Seyed Mehdi Rezaei, Mohammad Zareinejad, Mozafar Saadat

Proceedings of the American Control Conference, 2009