University Scholarship
Publications and Grants

Subject: Deep learning (Machine learning)

FAST ID: 2032663 | WorldCat Record

Academic Publications

DSRnet: Hybrid Deep Learning-Based Channel Estimation for RIS-Aided Wireless Communication
Syed Samiul Alam; Haolin Tang; Guang Yang; Changqing Luo; Wei Wang; Yanxiao Zhao
Lecture Notes in Computer Science, 2025, book chapter Cited by 5
Computer Science GREW Fellow
Artificial intelligence Deep learning (Machine learning) Neural networks (Computer science) Wireless communication systems
A Hardware/Software Co-Design Vision for Deep Learning at the Edge
Flavio Ponzina; et al.
IEEE Micro, 2022, journal article
Cited by 16
Electrical and Computer Engineering GREW Fellow
Computer hardware description languages Deep learning (Machine learning) Edge computing Machine learning
Using Algorithmic Transformations and Sensitivity Analysis to Unleash Approximations in CNNs at the Edge
Flavio Ponzina; Giovanni Ansaloni; Miguel Peón-Quirós; David Atienza
Micromachines, 2022, journal article
Cited by 1
Electrical and Computer Engineering GREW Fellow
Algorithms Approximation theory Deep learning (Machine learning) Neural networks (Computer science)
The Loss Surface Of Deep Linear Networks Viewed Through The Algebraic Geometry Lens
Dhagash Mehta; Tianran Chen; Tingting Tang; Jonathan Hauenstein
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, journal article
Cited by 21
GREW Fellow Mathematics - Imperial Valley
Deep learning (Machine learning) Geometry, Algebraic Machine learning Neural networks (Computer science)
Construction activity recognition with convolutional recurrent networks
Slaton, T.; Hernandez, C.; Reza Akhavian
Automation in Construction, 2020, journal article
Cited by 116
Civil, Construction, and Environmental Engineering GREW Fellow
Construction industry Deep learning (Machine learning) Human activity recognition Machine learning
Impact of Memory Voltage Scaling on Accuracy and Resilience of Deep Learning Based Edge Devices
Benoit W. Denkinger; Flavio Ponzina; et al.
IEEE Design & Test, 2020, journal article Cited by 14
Electrical and Computer Engineering GREW Fellow
Deep learning (Machine learning) Edge computing Energy consumption Resilience (Personality trait)
Convolutional autoregressive models for functional time series
Xialu Liu
Journal of Econometrics, 2016, journal article
Cited by 28
Management Information Systems GREW Fellow
Artificial intelligence Deep learning (Machine learning) Machine learning Time-series analysis

Conference Presentations

Machine Learning Enabled Hybrid Image Compression With Implicit Neural Representation For Wireless Semantic Communications
Yahui Jiang; Thu Vu; Xiaocan Wang; Wei Wang
2025 IEEE International Conference on Communications Workshops (Icc Workshops), 2025, conference paper
Computer Science GREW Fellow
Deep learning (Machine learning) Image compression Machine learning Wireless communication systems
Resource-Efficient Continual Learning for Personalized Online Seizure Detection
Amirhossein Shahbazinia; Flavio Ponzina; Jose A. Miranda; Jonathan Dan; Giovanni Ansaloni; David Atienza
2024 46Th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Embc), 2024, conference paper
Electrical and Computer Engineering GREW Fellow
Artificial intelligence Deep learning (Machine learning) Machine learning National Institute of Neurological Disorders and Stroke (U.S.)
An Accuracy-Driven Compression Methodology to Derive Efficient Codebook-Based CNNs
Flavio Ponzina; Miguel Peon-Quiros; Giovanni Ansaloni; David Atienza
2022 IEEE International Conference on Omni-Layer Intelligent Systems (Coins), 2022, conference paper
Electrical and Computer Engineering GREW Fellow
Artificial intelligence Deep learning (Machine learning) Efficiency wage theory
Error Resilient In-Memory Computing Architecture for CNN Inference on the Edge
Marco Rios; Flavio Ponzina; Giovanni Ansaloni; Alexandre Levisse; David Atienza
Proceedings of the Great Lakes Symposium on Vlsi 2022, 2022, conference paper
Electrical and Computer Engineering GREW Fellow
Artificial intelligence Deep learning (Machine learning) Edge computing Machine learning
A Flexible In-Memory Computing Architecture for Heterogeneously Quantized CNNs
Flavio Ponzina; Marco Rios; Giovanni Ansaloni; Alexandre Levisse; David Atienza
2021 IEEE Computer Society Annual Symposium on Vlsi (Isvlsi), 2021, conference paper
Electrical and Computer Engineering GREW Fellow
Artificial intelligence Deep learning (Machine learning) Neural networks (Computer science) Parallel processing (Electronic computers)