Daniel D. Fong

Orcid: 0000-0002-7171-1171

According to our database1, Daniel D. Fong authored at least 13 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Bibliography

2022
Scalable CNN Synthesis for Resource-Constrained Embedded Platforms.
IEEE Internet Things J., 2022

2021
Design and In Vivo Evaluation of a Non-Invasive Transabdominal Fetal Pulse Oximeter.
IEEE Trans. Biomed. Eng., 2021

2020
Octopus: Context-Aware CNN Inference for IoT Applications.
IEEE Embed. Syst. Lett., 2020

Contextually-aware Fetal Sensing in Transabdominal Fetal Pulse Oximetry.
Proceedings of the 11th ACM/IEEE International Conference on Cyber-Physical Systems, 2020

2019
Distill-Net: Application-Specific Distillation of Deep Convolutional Neural Networks for Resource-Constrained IoT Platforms.
ACM Trans. Embed. Comput. Syst., 2019

Optode Design Space Exploration for Clinically-robust Non-invasive Fetal Oximetry.
ACM Trans. Embed. Comput. Syst., 2019

Cappuccino: Efficient CNN Inference Software Synthesis for Mobile System-on-Chips.
IEEE Embed. Syst. Lett., 2019

Resource-Scalable CNN Synthesis for IoT Applications.
CoRR, 2019

2018
Non-invasive bladder volume sensing for neurogenic bladder dysfunction management.
Proceedings of the 15th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2018

2017
Machine Intelligence on Resource-Constrained IoT Devices: The Case of Thread Granularity Optimization for CNN Inference.
ACM Trans. Embed. Comput. Syst., 2017

Cappuccino: Efficient Inference Software Synthesis for Mobile System-on-Chips.
CoRR, 2017

Transabdominal fetal pulse oximetry: The case of fetal signal optimization.
Proceedings of the 19th IEEE International Conference on e-Health Networking, 2017

2016
Fast and Energy-Efficient CNN Inference on IoT Devices.
CoRR, 2016


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