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ORCIDMohammad Motamedi
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2020 – today
- 2022
[j7]Mohammad Motamedi
, Felix Portillo, Mahya Saffarpour, Daniel D. Fong, Soheil Ghiasi:
Scalable CNN Synthesis for Resource-Constrained Embedded Platforms. IEEE Internet Things J. 9(3): 2267-2276 (2022)- [c4]Ehsan Gholami, Mohammad Motamedi, Ashwin Aravindakshan:
PARSRec: Explainable Personalized Attention-fused Recurrent Sequential Recommendation Using Session Partial Actions. KDD 2022: 454-464 - [i7]Ehsan Gholami, Mohammad Motamedi, Ashwin Aravindakshan:
PARSRec: Explainable Personalized Attention-fused Recurrent Sequential Recommendation Using Session Partial Actions. CoRR abs/2209.13015 (2022) - 2021
- [i6]Mohammad Motamedi, Nikolay Sakharnykh, Tim Kaldewey:
A Data-Centric Approach for Training Deep Neural Networks with Less Data. CoRR abs/2110.03613 (2021) - 2020
- [j6]Mohammad Motamedi, Felix Portillo, Mahya Saffarpour, Daniel D. Fong, Soheil Ghiasi:
Octopus: Context-Aware CNN Inference for IoT Applications. IEEE Embed. Syst. Lett. 12(1): 1-4 (2020)
2010 – 2019
- 2019
- [j5]Mohammad Motamedi, Daniel D. Fong, Soheil Ghiasi:
Cappuccino: Efficient CNN Inference Software Synthesis for Mobile System-on-Chips. IEEE Embed. Syst. Lett. 11(1): 9-12 (2019) - [j4]Mohammad Motamedi, Felix Portillo, Daniel D. Fong, Soheil Ghiasi:
Distill-Net: Application-Specific Distillation of Deep Convolutional Neural Networks for Resource-Constrained IoT Platforms. ACM Trans. Embed. Comput. Syst. 18(5): 44:1-44:20 (2019) - [i5]Mohammad Motamedi, Felix Portillo, Mahya Saffarpour, Daniel D. Fong, Soheil Ghiasi:
Resource-Scalable CNN Synthesis for IoT Applications. CoRR abs/1901.00738 (2019) - 2018
- [j3]Philipp Gysel, Jon J. Pimentel, Mohammad Motamedi, Soheil Ghiasi:
Ristretto: A Framework for Empirical Study of Resource-Efficient Inference in Convolutional Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5784-5789 (2018) - [i4]Mohammad Motamedi, Felix Portillo, Daniel D. Fong, Soheil Ghiasi:
Distill-Net: Application-Specific Distillation of Deep Convolutional Neural Networks for Resource-Constrained IoT Platforms. CoRR abs/1812.07390 (2018) - 2017
- [j2]Mohammad Motamedi, Daniel D. Fong, Soheil Ghiasi:
Machine Intelligence on Resource-Constrained IoT Devices: The Case of Thread Granularity Optimization for CNN Inference. ACM Trans. Embed. Comput. Syst. 16(5s): 151:1-151:19 (2017) - [j1]Mohammad Motamedi, Philipp Gysel, Soheil Ghiasi:
PLACID: A Platform for FPGA-Based Accelerator Creation for DCNNs. ACM Trans. Multim. Comput. Commun. Appl. 13(4): 62:1-62:21 (2017) - [i3]Mohammad Motamedi, Daniel D. Fong, Soheil Ghiasi:
Cappuccino: Efficient Inference Software Synthesis for Mobile System-on-Chips. CoRR abs/1707.02647 (2017) - 2016
- [c3]Mohammad Motamedi, Philipp Gysel, Venkatesh Akella, Soheil Ghiasi:
Design space exploration of FPGA-based Deep Convolutional Neural Networks. ASP-DAC 2016: 575-580 - [i2]Philipp Gysel, Mohammad Motamedi, Soheil Ghiasi:
Hardware-oriented Approximation of Convolutional Neural Networks. CoRR abs/1604.03168 (2016) - [i1]Mohammad Motamedi, Daniel D. Fong, Soheil Ghiasi:
Fast and Energy-Efficient CNN Inference on IoT Devices. CoRR abs/1611.07151 (2016) - 2010
- [c2]Mohammad Motamedi, Gholamreza Vossoughi, Mohammad Taghi Ahmadian, Seyed Mehdi Rezaei, Mohammad Zareinejad, Mozafar Saadat:
Robust adaptive control of a micro telemanipulation system using sliding mode-based force estimation. ACC 2010: 2811-2816
2000 – 2009
- 2009
- [c1]Mohammad Motamedi, Seyed Mehdi Rezaei, Mohammad Zareinejad, Mozafar Saadat:
Robust control of a piezoelectric stage under thermal and external load disturbances. ACC 2009: 2260-2265
Coauthor Index
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