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ORCIDValentin Radu
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- Radu State
![[0000-0002-4751-9577]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-4751-9577")
(aka: Radu Valentin State)
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2020 – today
- 2024
[j7]Valentin Radu, Diana Dranga, Catalin Marian Dumitrescu, Alina Iuliana Tabirca, Maria Cristina Stefan:
Generative AI Assertions in UVM-Based System Verilog Functional Verification. Syst. 12(10): 390 (2024)- 2023
- [j6]Rima H. Binsaeed, Zahid Yousaf, Adriana Grigorescu, Valentin Radu, Abdelmohsen A. Nassani:
Digital Revolution and Digitization Process to Promote AIS as a Vector of Financial Performance. Syst. 11(7): 339 (2023) - [c26]Hongrui Shi, Valentin Radu, Po Yang:
Lightweight Workloads in Heterogeneous Federated Learning via Few-shot Learning. DistributedML@CoNEXT 2023: 21-26 - [c25]Hongrui Shi, Valentin Radu, Po Yang:
Distributed Training for Speech Recognition using Local Knowledge Aggregation and Knowledge Distillation in Heterogeneous Systems. EuroMLSys@EuroSys 2023: 64-70 - [c24]Anselmo Talotta, Valentin Radu, Lorenzo Sorgi:
Floorplan Generation from Noisy Point Cloud. GeoIndstry@SIGSPATIAL 2023: 8-15 - 2022
- [c23]Naums Mogers, Lu Li, Valentin Radu, Christophe Dubach:
Mapping parallelism in a functional IR through constraint satisfaction: a case study on convolution for mobile GPUs. CC 2022: 218-230 - [c22]Hongrui Shi, Valentin Radu:
Data selection for efficient model update in federated learning. EuroMLSys@EuroSys 2022: 72-78 - [c21]Xijia Wei, Valentin Radu:
Leveraging Transfer Learning for Robust Multimodal Positioning Systems using Smartphone Multi-sensor Data. IPIN 2022: 1-8 - [i8]Hongrui Shi, Valentin Radu, Po Yang:
Closing the Gap between Client and Global Model Performance in Heterogeneous Federated Learning. CoRR abs/2211.03457 (2022) - 2021
- [j5]Xijia Wei, Zhiqiang Wei, Valentin Radu:
Sensor-Fusion for Smartphone Location Tracking Using Hybrid Multimodal Deep Neural Networks. Sensors 21(22): 7488 (2021) - [c20]Mattias Cross, Valentin Radu:
An Immune Inspired Algorithm for Fault Tolerant Enhanced Multimodal Machine Learning. BIBM 2021: 2194-2200 - [c19]Hongrui Shi, Valentin Radu:
Towards Federated Learning with Attention Transfer to Mitigate System and Data Heterogeneity of Clients. EdgeSys@EuroSys 2021: 61-66 - [c18]Rik Mulder, Valentin Radu, Christophe Dubach:
Fast Optimisation of Convolutional Neural Network Inference using System Performance Models. EuroMLSys@EuroSys 2021: 104-110 - [c17]Josh Barrows, Valentin Radu, Matthew Hill, Fabio Ciravegna:
Active Learning with Data Distribution Shift Detection for Updating Localization Systems. IPIN 2021: 1-8 - [c16]Xijia Wei, Zhiqiang Wei, Valentin Radu:
MM-Loc: Cross-sensor Indoor Smartphone Location Tracking using Multimodal Deep Neural Networks. IPIN 2021: 1-8 - [i7]Hongrui Shi, Valentin Radu:
Data Selection for Efficient Model Update in Federated Learning. CoRR abs/2111.03512 (2021) - 2020
- [j4]Valentin Radu, Florin Radu, Alina Iuliana Tabirca, Silviu Ilie Saplacan, Ramona Lile:
Bibliometric Analysis of Fuzzy Logic Research in International Scientific Databases. Int. J. Comput. Commun. Control 16(1) (2020) - [j3]David Strömbäck, Sangxia Huang, Valentin Radu:
MM-Fit: Multimodal Deep Learning for Automatic Exercise Logging across Sensing Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(4): 168:1-168:22 (2020) - [c15]Naums Mogers, Valentin Radu, Lu Li, Jack Turner, Michael F. P. O'Boyle, Christophe Dubach:
Automatic generation of specialized direct convolutions for mobile GPUs. GPGPU@PPoPP 2020: 41-50 - [c14]Yuan Wen, Andrew Anderson, Valentin Radu, Michael F. P. O'Boyle, David Gregg:
TASO: Time and Space Optimization for Memory-Constrained DNN Inference. SBAC-PAD 2020: 199-208 - [i6]Valentin Radu, Kuba Kaszyk, Yuan Wen, Jack Turner, José Cano, Elliot J. Crowley, Björn Franke, Amos J. Storkey, Michael F. P. O'Boyle:
Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs. CoRR abs/2002.08697 (2020) - [i5]Yuan Wen, Andrew Anderson, Valentin Radu, Michael F. P. O'Boyle, David Gregg:
TASO: Time and Space Optimization for Memory-Constrained DNN Inference. CoRR abs/2005.10709 (2020) - [i4]Rik Mulder, Valentin Radu, Christophe Dubach:
Optimising the Performance of Convolutional Neural Networks across Computing Systems using Transfer Learning. CoRR abs/2010.10621 (2020)
2010 – 2019
- 2019
- [j2]Valentin Radu, Maximilian Henne:
Vision2Sensor: Knowledge Transfer Across Sensing Modalities for Human Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(3): 84:1-84:21 (2019) - [c13]Yuan Wen, Andrew Anderson, Valentin Radu, Michael F. P. O'Boyle, David Gregg:
POSTER: Space and Time Optimal DNN Primitive Selection with Integer Linear Programming. PACT 2019: 489-490 - [c12]Valentin Radu, Kuba Kaszyk, Yuan Wen, Jack Turner, José Cano, Elliot J. Crowley, Björn Franke, Amos J. Storkey, Michael F. P. O'Boyle:
Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs. IISWC 2019: 24-34 - [c11]Adrian Cosma, Ion Emilian Radoi, Valentin Radu:
CamLoc: Pedestrian Location Estimation through Body Pose Estimation on Smart Cameras. IPIN 2019: 1-8 - [c10]Ion Emilian Radoi, Dumitru Cirimpei, Valentin Radu:
Localization Systems Repository: A Platform for Open-source Localization Systems and Datasets. IPIN 2019: 1-8 - [c9]Xijia Wei, Valentin Radu:
Calibrating Recurrent Neural Networks on Smartphone Inertial Sensors for Location Tracking. IPIN 2019: 1-8 - 2018
- [c8]Jack Turner, José Cano, Valentin Radu, Elliot J. Crowley, Michael F. P. O'Boyle, Amos J. Storkey:
Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks. IISWC 2018: 101-110 - [i3]Jack Turner, José Cano, Valentin Radu, Elliot J. Crowley, Michael F. P. O'Boyle, Amos J. Storkey:
Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks. CoRR abs/1809.07196 (2018) - [i2]Jack Turner, Elliot J. Crowley, Valentin Radu, José Cano, Amos J. Storkey, Michael F. P. O'Boyle:
HAKD: Hardware Aware Knowledge Distillation. CoRR abs/1810.10460 (2018) - [i1]Adrian Cosma, Ion Emilian Radoi, Valentin Radu:
CamLoc: Pedestrian Location Detection from Pose Estimation on Resource-constrained Smart-cameras. CoRR abs/1812.11209 (2018) - 2017
- [b1]Valentin Radu:
Multimodal sensing for robust and energy-efficient context detection with smart mobile devices. University of Edinburgh, UK, 2017 - [j1]Valentin Radu, Catherine Tong, Sourav Bhattacharya, Nicholas D. Lane, Cecilia Mascolo, Mahesh K. Marina, Fahim Kawsar:
Multimodal Deep Learning for Activity and Context Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(4): 157:1-157:27 (2017) - 2016
- [c7]Valentin Radu, Nicholas D. Lane, Sourav Bhattacharya, Cecilia Mascolo, Mahesh K. Marina, Fahim Kawsar:
Towards multimodal deep learning for activity recognition on mobile devices. UbiComp Adjunct 2016: 185-188 - 2015
- [c6]Mahesh K. Marina, Valentin Radu, Konstantinos Balampekos:
Impact of Indoor-Outdoor Context on Crowdsourcing based Mobile Coverage Analysis. AllThingsCellular@SIGCOMM 2015: 45-50 - 2014
- [c5]Valentin Radu, Panagiota Katsikouli, Rik Sarkar, Mahesh K. Marina:
Poster: am i indoor or outdoor? MobiCom 2014: 401-404 - [c4]Valentin Radu, Panagiota Katsikouli, Rik Sarkar, Mahesh K. Marina:
A semi-supervised learning approach for robust indoor-outdoor detection with smartphones. SenSys 2014: 280-294 - 2013
- [c3]Valentin Radu, Lito Kriara, Mahesh K. Marina:
Pazl: A mobile crowdsensing based indoor WiFi monitoring system. CNSM 2013: 75-83 - [c2]Valentin Radu, Mahesh K. Marina:
HiMLoc: Indoor smartphone localization via activity aware Pedestrian Dead Reckoning with selective crowdsourced WiFi fingerprinting. IPIN 2013: 1-10 - 2012
- [c1]Valentin Radu, Jiwei Li, Lito Kriara, Mahesh K. Marina, Richard Mortier:
Poster: a hybrid approach for indoor mobile phone localization. MobiSys 2012: 527-528
Coauthor Index
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