Stylianos I. Venieris
Orcid: 0000-0001-5181-6251
According to our database1,
Stylianos I. Venieris
authored at least 53 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
IEEE Trans. Mob. Comput., March, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
2023
ACM Trans. Design Autom. Electr. Syst., November, 2023
Multiple-Deep Neural Network Accelerators for Next-Generation Artificial Intelligence Systems.
Computer, March, 2023
LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms.
CoRR, 2023
Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads.
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023
Exploring the Performance and Efficiency of Transformer Models for NLP on Mobile Devices.
Proceedings of the IEEE Symposium on Computers and Communications, 2023
MultiTASC: A Multi-Tenancy-Aware Scheduler for Cascaded DNN Inference at the Consumer Edge.
Proceedings of the IEEE Symposium on Computers and Communications, 2023
2022
ACM Trans. Embed. Comput. Syst., November, 2022
Guest Editorial: Bridging the Gap Between Industry and Academia for Networking Research.
IEEE Netw., 2022
Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions.
ACM Comput. Surv., 2022
Fluid Batching: Exit-Aware Preemptive Serving of Early-Exit Neural Networks on Edge NPUs.
CoRR, 2022
Proceedings of the MobiSys '22: The 20th Annual International Conference on Mobile Systems, Applications and Services, Portland, Oregon, 27 June 2022, 2022
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design.
Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
Proceedings of the HotMobile '21: The 22nd International Workshop on Mobile Computing Systems and Applications, 2021
Proceedings of the IEEE International Conference on Smart Computing, 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 29th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2021
How to Reach Real-Time AI on Consumer Devices? Solutions for Programmable and Custom Architectures.
Proceedings of the 32nd IEEE International Conference on Application-specific Systems, 2021
2020
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020
Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars.
IEEE Consumer Electron. Mag., 2020
Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020
Multi-Precision Policy Enforced Training (MuPPET) : A Precision-Switching Strategy for Quantised Fixed-Point Training of CNNs.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020
Proceedings of the 30th International Conference on Field-Programmable Logic and Applications, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
A Throughput-Latency Co-Optimised Cascade of Convolutional Neural Network Classifiers.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020
Neural Enhancement in Content Delivery Systems: The State-of-the-Art and Future Directions.
Proceedings of the DistributedML@CoNEXT 2020: Proceedings of the 1st Workshop on Distributed Machine Learning, 2020
2019
Automated methodologies for mapping convolutional neural networks on reconfigurable hardware.
PhD thesis, 2019
IEEE Trans. Neural Networks Learn. Syst., 2019
EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices.
CoRR, 2019
Poster: MobiSR - Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors.
Proceedings of the 25th Annual International Conference on Mobile Computing and Networking, 2019
MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors.
Proceedings of the 25th Annual International Conference on Mobile Computing and Networking, 2019
Proceedings of the 2019 IEEE Computer Society Annual Symposium on VLSI, 2019
Proceedings of the International Conference on Field-Programmable Technology, 2019
2018
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions.
ACM Comput. Surv., 2018
CascadeCNN: Pushing the Performance Limits of Quantisation in Convolutional Neural Networks.
CoRR, 2018
f-CNN<sup>x</sup>: A Toolflow for Mapping Multiple Convolutional Neural Networks on FPGAs.
CoRR, 2018
Proceedings of the 28th International Conference on Field Programmable Logic and Applications, 2018
Cascade^CNN: Pushing the Performance Limits of Quantisation in Convolutional Neural Networks.
Proceedings of the 28th International Conference on Field Programmable Logic and Applications, 2018
DroNet: Efficient convolutional neural network detector for real-time UAV applications.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018
Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2018
2017
fpgaConvNet: A Toolflow for Mapping Diverse Convolutional Neural Networks on Embedded FPGAs.
CoRR, 2017
Proceedings of the 27th International Conference on Field Programmable Logic and Applications, 2017
fpgaConvNet: Automated Mapping of Convolutional Neural Networks on FPGAs (Abstract Only).
Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2017
2016
Proceedings of the 24th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2016
2015
Proceedings of the 25th International Conference on Field Programmable Logic and Applications, 2015