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Daniel D. Fong
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2020 – today
- 2022
- [j7]Mohammad Motamedi
, Felix Portillo, Mahya Saffarpour, Daniel D. Fong
Scalable CNN Synthesis for Resource-Constrained Embedded Platforms. IEEE Internet Things J. 9(3): 2267-2276 (2022) - 2021
- [j6]Daniel D. Fong
Design and In Vivo Evaluation of a Non-Invasive Transabdominal Fetal Pulse Oximeter. IEEE Trans. Biomed. Eng. 68(1): 256-266 (2021) - 2020
- [j5]Mohammad Motamedi
Octopus: Context-Aware CNN Inference for IoT Applications. IEEE Embed. Syst. Lett. 12(1): 1-4 (2020) - [c3]Daniel D. Fong
Contextually-aware Fetal Sensing in Transabdominal Fetal Pulse Oximetry. ICCPS 2020: 119-128
2010 – 2019
- 2019
- [j4]Mohammad Motamedi
Cappuccino: Efficient CNN Inference Software Synthesis for Mobile System-on-Chips. IEEE Embed. Syst. Lett. 11(1): 9-12 (2019) - [j3]Mohammad Motamedi
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) - [j2]Daniel D. Fong
Optode Design Space Exploration for Clinically-robust Non-invasive Fetal Oximetry. ACM Trans. Embed. Comput. Syst. 18(5s): 63:1-63:22 (2019) - [i4]Mohammad Motamedi, Felix Portillo, Mahya Saffarpour, Daniel D. Fong
Resource-Scalable CNN Synthesis for IoT Applications. CoRR abs/1901.00738 (2019) - 2018
- [c2]Daniel D. Fong
Non-invasive bladder volume sensing for neurogenic bladder dysfunction management. BSN 2018: 82-85 - [i3]Mohammad Motamedi, Felix Portillo, Daniel D. Fong
Distill-Net: Application-Specific Distillation of Deep Convolutional Neural Networks for Resource-Constrained IoT Platforms. CoRR abs/1812.07390 (2018) - 2017
- [j1]Mohammad Motamedi, Daniel D. Fong
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) - [c1]Daniel D. Fong
Transabdominal fetal pulse oximetry: The case of fetal signal optimization. Healthcom 2017: 1-6 - [i2]Mohammad Motamedi, Daniel D. Fong, Soheil Ghiasi:
Cappuccino: Efficient Inference Software Synthesis for Mobile System-on-Chips. CoRR abs/1707.02647 (2017) - 2016
- [i1]Mohammad Motamedi, Daniel D. Fong
Fast and Energy-Efficient CNN Inference on IoT Devices. CoRR abs/1611.07151 (2016)
Coauthor Index
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