Stylianos I. Venieris
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
32
Venues
19
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
32 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | HierarchicalPrune: Position-Aware Compression for Large-Scale Diffusion Models. | Young D. Kwon, Rui Li, Sijia Li, Da Li, Sourav Bhattacharya, Stylianos I. Venieris |
| 2026 | AAAI | FedP²EFT: Federated Learning to Personalize PEFT for Multilingual LLMs. | Royson Lee, Minyoung Kim, Fady Rezk, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales |
| 2026 | ACL | Speculative Decoding with a Speculative Vocabulary. | Miles Williams, Young D. Kwon, Rui Li, Alexandros Kouris, Stylianos I. Venieris |
| 2025 | EMNLP | Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference. | Hao Mark Chen, Wayne Luk, Yiu Ka Fai Cedric, Rui Li, Konstantin Mishchenko, Stylianos I. Venieris, Hongxiang Fan |
| 2025 | ICLR | Progressive Mixed-Precision Decoding for Efficient LLM Inference. | Hao Mark Chen, Fuwen Tan, Alexandros Kouris, Royson Lee, Hongxiang Fan, Stylianos I. Venieris |
| 2024 | ICML | TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge. | Young D. Kwon, Rui Li, Stylianos I. Venieris, Jagmohan Chauhan, Nicholas Donald Lane, Cecilia Mascolo |
| 2024 | WACV | Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation. | Royson Lee, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales, Ferenc Huszr, Nicholas D. Lane |
| 2023 | ISCC | MultiTASC: A Multi-Tenancy-Aware Scheduler for Cascaded DNN Inference at the Consumer Edge. | Sokratis Nikolaidis, Stylianos I. Venieris, Iakovos S. Venieris |
| 2023 | ISCC | Exploring the Performance and Efficiency of Transformer Models for NLP on Mobile Devices. | Ioannis Panopoulos, Sokratis Nikolaidis, Stylianos I. Venieris, Iakovos S. Venieris |
| 2023 | MICRO | Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads. | Hongxiang Fan, Stylianos I. Venieris, Alexandros Kouris, Nicholas D. Lane |
| 2023 | SENSYS | LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms. | Young D. Kwon, Jagmohan Chauhan, Hong Jia, Stylianos I. Venieris, Cecilia Mascolo |
| 2022 | ECCV | Multi-Exit Semantic Segmentation Networks. | Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane |
| 2022 | MICRO | Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design. | Hongxiang Fan, Thomas Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah |
| 2022 | Mobisys | Adaptable mobile vision systems through multi-exit neural networks. | Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane |
| 2021 | FCCM | unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation. | Stylianos I. Venieris, Javier Fernndez-Marqus, Nicholas D. Lane |
| 2021 | SmartComp | OODIn: An Optimised On-Device Inference Framework for Heterogeneous Mobile Devices. | Stylianos I. Venieris, Ioannis Panopoulos, Iakovos S. Venieris |
| 2020 | CoNEXT | Neural Enhancement in Content Delivery Systems: The State-of-the-Art and Future Directions. | Royson Lee, Stylianos I. Venieris, Nicholas D. Lane |
| 2020 | DATE | A Throughput-Latency Co-Optimised Cascade of Convolutional Neural Network Classifiers. | Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis |
| 2020 | ECCV | Journey Towards Tiny Perceptual Super-Resolution. | Royson Lee, Lukasz Dudziak, Mohamed S. Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane |
| 2020 | FPL | Caffe Barista: Brewing Caffe with FPGAs in the Training Loop. | Diederik Adriaan Vink, Aditya Rajagopal, Stylianos I. Venieris, Christos-Savvas Bouganis |
| 2020 | ICCAD | HAPI: Hardware-Aware Progressive Inference. | Stefanos Laskaridis, Stylianos I. Venieris, Hyeji Kim, Nicholas D. Lane |
| 2020 | ICML | Multi-Precision Policy Enforced Training (MuPPET) : A Precision-Switching Strategy for Quantised Fixed-Point Training of CNNs. | Aditya Rajagopal, Diederik Adriaan Vink, Stylianos I. Venieris, Christos-Savvas Bouganis |
| 2020 | MOBICOM | SPINN: synergistic progressive inference of neural networks over device and cloud. | Stefanos Laskaridis, Stylianos I. Venieris, Mrio Almeida, Ilias Leontiadis, Nicholas D. Lane |
| 2019 | MOBICOM | MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors. | Royson Lee, Stylianos I. Venieris, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane |
| 2019 | MOBICOM | Poster: MobiSR - Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors. | Royson Lee, Stylianos I. Venieris, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane |
| 2018 | DATE | DroNet: Efficient convolutional neural network detector for real-time UAV applications. | Christos Kyrkou, George Plastiras, Theocharis Theocharides, Stylianos I. Venieris, Christos-Savvas Bouganis |
| 2018 | FPL | Cascade^CNN: Pushing the Performance Limits of Quantisation in Convolutional Neural Networks. | Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis |
| 2018 | FPL | f-CNNx: A Toolflow for Mapping Multiple Convolutional Neural Networks on FPGAs. | Stylianos I. Venieris, Christos-Savvas Bouganis |
| 2017 | FPGA | fpgaConvNet: Automated Mapping of Convolutional Neural Networks on FPGAs (Abstract Only). | Stylianos I. Venieris, Christos-Savvas Bouganis |
| 2017 | FPL | Latency-driven design for FPGA-based convolutional neural networks. | Stylianos I. Venieris, Christos-Savvas Bouganis |
| 2016 | FCCM | fpgaConvNet: A Framework for Mapping Convolutional Neural Networks on FPGAs. | Stylianos I. Venieris, Christos-Savvas Bouganis |
| 2015 | FPL | Towards heterogeneous solvers for large-scale linear systems. | Stylianos I. Venieris, Grigorios Mingas, Christos-Savvas Bouganis |