Stylianos I. Venieris

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 80

Top Topics

Future Directions

Top Venues

Publications

Royson Lee, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation. WACV (2024)
Stylianos I. Venieris, Mário Almeida, Royson Lee, Nicholas D. Lane
NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution. IEEE Trans. Mob. Comput. 23 (3) (2024)
Ioannis Panopoulos, Stylianos I. Venieris, Iakovos S. Venieris
CARIn: Constraint-Aware and Responsive Inference on Heterogeneous Devices for Single- and Multi-DNN Workloads. ACM Trans. Embed. Comput. Syst. 23 (4) (2024)
Hao Mark Chen, Wayne Luk, Ka Fai Cedric Yiu, Rui Li, Konstantin Mishchenko, Stylianos I. Venieris, Hongxiang Fan
Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference. CoRR (2024)
Young D. Kwon, Jagmohan Chauhan, Hong Jia, Stylianos I. Venieris, Cecilia Mascolo
LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms. CoRR (2023)
Stylianos I. Venieris, Christos-Savvas Bouganis, Nicholas D. Lane
Multiple-Deep Neural Network Accelerators for Next-Generation Artificial Intelligence Systems. Computer 56 (3) (2023)
Hongxiang Fan, Stylianos I. Venieris, Alexandros Kouris, Nicholas D. Lane
Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads. MICRO (2023)
Stylianos I. Venieris, Javier Fernández-Marqués, Nicholas D. Lane
Mitigating Memory Wall Effects in CNN Engines with On-the-Fly Weights Generation. ACM Trans. Design Autom. Electr. Syst. 28 (6) (2023)
Young D. Kwon, Jagmohan Chauhan, Hong Jia, Stylianos I. Venieris, Cecilia Mascolo
LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms. SenSys (2023)
Ioannis Panopoulos, Sokratis Nikolaidis, Stylianos I. Venieris, Iakovos S. Venieris
Exploring the Performance and Efficiency of Transformer Models for NLP on Mobile Devices. CoRR (2023)
Stylianos I. Venieris, Javier Fernández-Marqués, Nicholas D. Lane
Mitigating Memory Wall Effects in CNN Engines with On-the-Fly Weights Generation. CoRR (2023)
Sokratis Nikolaidis, Stylianos I. Venieris, Iakovos S. Venieris
MultiTASC: A Multi-Tenancy-Aware Scheduler for Cascaded DNN Inference at the Consumer Edge. CoRR (2023)
Hongxiang Fan, Stylianos I. Venieris, Alexandros Kouris, Nicholas D. Lane
Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads. CoRR (2023)
Ioannis Panopoulos, Sokratis Nikolaidis, Stylianos I. Venieris, Iakovos S. Venieris
Exploring the Performance and Efficiency of Transformer Models for NLP on Mobile Devices. ISCC (2023)
Sokratis Nikolaidis, Stylianos I. Venieris, Iakovos S. Venieris
MultiTASC: A Multi-Tenancy-Aware Scheduler for Cascaded DNN Inference at the Consumer Edge. ISCC (2023)
Young D. Kwon, Rui Li, Stylianos I. Venieris, Jagmohan Chauhan, Nicholas D. Lane, Cecilia Mascolo
TinyTrain: Deep Neural Network Training at the Extreme Edge. CoRR (2023)
Royson Lee, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation. CoRR (2022)
Hongxiang Fan, Thomas Chun-Pong Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design. CoRR (2022)
Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane
Fluid Batching: Exit-Aware Preemptive Serving of Early-Exit Neural Networks on Edge NPUs. CoRR (2022)
Stefanos Laskaridis, Stylianos I. Venieris, Alexandros Kouris, Rui Li, Nicholas D. Lane
The Future of Consumer Edge-AI Computing. CoRR (2022)
Royson Lee, Stylianos I. Venieris, Nicholas D. Lane
Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions. ACM Comput. Surv. 54 (8) (2022)
Stylianos I. Venieris, Mário Almeida, Royson Lee, Nicholas D. Lane
NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution. CoRR (2022)
Stylianos I. Venieris, Christos-Savvas Bouganis, Nicholas D. Lane
Multi-DNN Accelerators for Next-Generation AI Systems. CoRR (2022)
Mário Almeida, Stefanos Laskaridis, Stylianos I. Venieris, Ilias Leontiadis, Nicholas D. Lane
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device. ACM Trans. Embed. Comput. Syst. 21 (6) (2022)
Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane
Adaptable mobile vision systems through multi-exit neural networks. MobiSys (2022)
Bo Han, Jiasi Chen, Tian Guo, Sung-Ju Lee, Viswanathan Swaminathan, Stylianos I. Venieris
Guest Editorial: Bridging the Gap Between Industry and Academia for Networking Research. IEEE Netw. 36 (1) (2022)
Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane
Multi-Exit Semantic Segmentation Networks. ECCV (21) (2022)
Hongxiang Fan, Thomas Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design. MICRO (2022)
Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane
Multi-Exit Semantic Segmentation Networks. CoRR (2021)
Ilias Leontiadis, Stefanos Laskaridis, Stylianos I. Venieris, Nicholas D. Lane
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation. HotMobile (2021)
Stylianos I. Venieris, Javier Fernández-Marqués, Nicholas D. Lane
unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation. FCCM (2021)
Stylianos I. Venieris, Ioannis Panopoulos, Ilias Leontiadis, Iakovos S. Venieris
How to Reach Real-Time AI on Consumer Devices? Solutions for Programmable and Custom Architectures. ASAP (2021)
Stylianos I. Venieris, Ioannis Panopoulos, Iakovos S. Venieris
OODIn: An Optimised On-Device Inference Framework for Heterogeneous Mobile Devices. SMARTCOMP (2021)
Samuel Horvath, Stefanos Laskaridis, Mário Almeida, Ilias Leontiadis, Stylianos I. Venieris, Nicholas D. Lane
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout. CoRR (2021)
Samuel Horváth, Stefanos Laskaridis, Mário Almeida, Ilias Leontiadis, Stylianos I. Venieris, Nicholas D. Lane
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout. NeurIPS (2021)
Stylianos I. Venieris, Javier Fernández-Marqués, Nicholas D. Lane
unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation. CoRR (2021)
Ilias Leontiadis, Stefanos Laskaridis, Stylianos I. Venieris, Nicholas D. Lane
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation. CoRR (2021)
Mário Almeida, Stefanos Laskaridis, Stylianos I. Venieris, Ilias Leontiadis, Nicholas D. Lane
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device. CoRR (2021)
Stylianos I. Venieris, Ioannis Panopoulos, Iakovos S. Venieris
OODIn: An Optimised On-Device Inference Framework for Heterogeneous Mobile Devices. CoRR (2021)
Stylianos I. Venieris, Ioannis Panopoulos, Ilias Leontiadis, Iakovos S. Venieris
How to Reach Real-Time AI on Consumer Devices? Solutions for Programmable and Custom Architectures. CoRR (2021)
Royson Lee, Stylianos I. Venieris, Nicholas D. Lane
Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions. CoRR (2021)
Sourav Bhattacharya, Dionysis Manousakas, Alberto Gil C. P. Ramos, Stylianos I. Venieris, Nicholas D. Lane, Cecilia Mascolo
Countering Acoustic Adversarial Attacks in Microphone-equipped Smart Home Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4 (2) (2020)
Stefanos Laskaridis, Stylianos I. Venieris, Hyeji Kim, Nicholas D. Lane
HAPI: Hardware-Aware Progressive Inference. CoRR (2020)
Stefanos Laskaridis, Stylianos I. Venieris, Hyeji Kim, Nicholas D. Lane
HAPI: Hardware-Aware Progressive Inference. ICCAD (2020)
Diederik Adriaan Vink, Aditya Rajagopal, Stylianos I. Venieris, Christos-Savvas Bouganis
Caffe Barista: Brewing Caffe with FPGAs in the Training Loop. FPL (2020)
Aditya Rajagopal, Diederik Adriaan Vink, Stylianos I. Venieris, Christos-Savvas Bouganis
Multi-Precision Policy Enforced Training (MuPPET): A precision-switching strategy for quantised fixed-point training of CNNs. CoRR (2020)
Royson Lee, Lukasz Dudziak, Mohamed S. Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane
Journey Towards Tiny Perceptual Super-Resolution. CoRR (2020)
Stefanos Laskaridis, Stylianos I. Venieris, Mário Almeida, Ilias Leontiadis, Nicholas D. Lane
SPINN: synergistic progressive inference of neural networks over device and cloud. MobiCom (2020)
Royson Lee, Lukasz Dudziak, Mohamed S. Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane
Journey Towards Tiny Perceptual Super-Resolution. ECCV (26) (2020)
Diederik Adriaan Vink, Aditya Rajagopal, Stylianos I. Venieris, Christos-Savvas Bouganis
Caffe Barista: Brewing Caffe with FPGAs in the Training Loop. CoRR (2020)
Royson Lee, Stylianos I. Venieris, Nicholas D. Lane
Neural Enhancement in Content Delivery Systems: The State-of-the-Art and Future Directions. DistributedML@CoNEXT (2020)
Alexandros Kouris, Stylianos I. Venieris, Michail Rizakis, Christos-Savvas Bouganis
Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars. IEEE Consumer Electron. Mag. 9 (4) (2020)
Royson Lee, Stylianos I. Venieris, Nicholas D. Lane
Neural Enhancement in Content Delivery Systems: The State-of-the-Art and Future Directions. CoRR (2020)
Stefanos Laskaridis, Stylianos I. Venieris, Mário Almeida, Ilias Leontiadis, Nicholas D. Lane
SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud. CoRR (2020)
Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis
A Throughput-Latency Co-Optimised Cascade of Convolutional Neural Network Classifiers. DATE (2020)
Aditya Rajagopal, Diederik Adriaan Vink, Stylianos I. Venieris, Christos-Savvas Bouganis
Multi-Precision Policy Enforced Training (MuPPET) : A Precision-Switching Strategy for Quantised Fixed-Point Training of CNNs. ICML (2020)
Royson Lee, Stylianos I. Venieris, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane
MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors. CoRR (2019)
Royson Lee, Stylianos I. Venieris, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane
MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors. MobiCom (2019)
Alexandros Kouris, Stylianos I. Venieris, Michail Rizakis, Christos-Savvas Bouganis
Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars. CoRR (2019)
Alexander Montgomerie-Corcoran, Stylianos I. Venieris, Christos-Savvas Bouganis
Power-Aware FPGA Mapping of Convolutional Neural Networks. FPT (2019)
Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis
Towards Efficient On-Board Deployment of DNNs on Intelligent Autonomous Systems. ISVLSI (2019)
Royson Lee, Stylianos I. Venieris, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane
Poster: MobiSR - Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors. MobiCom (2019)
Mário Almeida, Stefanos Laskaridis, Ilias Leontiadis, Stylianos I. Venieris, Nicholas D. Lane
EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices. CoRR (2019)
Stylianos I. Venieris, Christos-Savvas Bouganis
fpgaConvNet: Mapping Regular and Irregular Convolutional Neural Networks on FPGAs. IEEE Trans. Neural Networks Learn. Syst. 30 (2) (2019)
Michalis Rizakis, Stylianos I. Venieris, Alexandros Kouris, Christos-Savvas Bouganis
Approximate FPGA-Based LSTMs Under Computation Time Constraints. ARC (2018)
Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis
CascadeCNN: Pushing the performance limits of quantisation. CoRR (2018)
Stylianos I. Venieris, Christos-Savvas Bouganis
f-CNNx: A Toolflow for Mapping Multiple Convolutional Neural Networks on FPGAs. FPL (2018)
Christos Kyrkou, George Plastiras, Theocharis Theocharides, Stylianos I. Venieris, Christos-Savvas Bouganis
DroNet: Efficient convolutional neural network detector for real-time UAV applications. DATE (2018)
Stylianos I. Venieris, Christos-Savvas Bouganis
: A Toolflow for Mapping Multiple Convolutional Neural Networks on FPGAs. CoRR (2018)
Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis
Cascade^CNN: Pushing the Performance Limits of Quantisation in Convolutional Neural Networks. FPL (2018)
Stylianos I. Venieris, Alexandros Kouris, Christos-Savvas Bouganis
Deploying Deep Neural Networks in the Embedded Space. CoRR (2018)
Stylianos I. Venieris, Alexandros Kouris, Christos-Savvas Bouganis
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions. CoRR (2018)
Stylianos I. Venieris, Alexandros Kouris, Christos-Savvas Bouganis
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions. ACM Comput. Surv. 51 (3) (2018)
Christos Kyrkou, George Plastiras, Stylianos I. Venieris, Theocharis Theocharides, Christos-Savvas Bouganis
DroNet: Efficient convolutional neural network detector for real-time UAV applications. CoRR (2018)
Michalis Rizakis, Stylianos I. Venieris, Alexandros Kouris, Christos-Savvas Bouganis
Approximate FPGA-based LSTMs under Computation Time Constraints. CoRR (2018)
Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis
CascadeCNN: Pushing the Performance Limits of Quantisation in Convolutional Neural Networks. CoRR (2018)
Stylianos I. Venieris, Christos-Savvas Bouganis
Latency-driven design for FPGA-based convolutional neural networks. FPL (2017)
Stylianos I. Venieris, Christos-Savvas Bouganis
fpgaConvNet: Automated Mapping of Convolutional Neural Networks on FPGAs (Abstract Only). FPGA (2017)
Stylianos I. Venieris, Christos-Savvas Bouganis
fpgaConvNet: A Toolflow for Mapping Diverse Convolutional Neural Networks on Embedded FPGAs. CoRR (2017)
Stylianos I. Venieris, Christos-Savvas Bouganis
fpgaConvNet: A Framework for Mapping Convolutional Neural Networks on FPGAs. FCCM (2016)
Stylianos I. Venieris, Grigorios Mingas, Christos-Savvas Bouganis
Towards heterogeneous solvers for large-scale linear systems. FPL (2015)