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University of Sheffield: Sheffield, GB

2020-08 to present | Lecturer (Department of Computer Science)
Employment
Source: Self-asserted source
Valentin Radu

Works (31)

Distributed Training for Speech Recognition using Local Knowledge Aggregation and Knowledge Distillation in Heterogeneous Systems

Proceedings of the 3rd Workshop on Machine Learning and Systems
2023-05-08 | Conference paper | Author
Contributors: Hongrui Shi; Valentin Radu; Po Yang
Source: Self-asserted source
Valentin Radu

Closing the Gap between Client and Global Model Performance in Heterogeneous Federated Learning

arXiv:2211.03457
2022-11-17 | Preprint
Contributors: Hongrui Shi; Valentin Radu; Po Yang
Source: Self-asserted source
Valentin Radu

Leveraging Transfer Learning for Robust Multimodal Positioning Systems using Smartphone Multi-sensor Data

2022 IEEE 12th International Conference on Indoor Positioning and Indoor Navigation (IPIN)
2022-09-05 | Conference paper
Contributors: Xijia Wei; Valentin Radu
Source: Self-asserted source
Valentin Radu

Data selection for efficient model update in federated learning

Proceedings of the 2nd European Workshop on Machine Learning and Systems
2022-04-05 | Conference paper
Contributors: Hongrui Shi; Valentin Radu
Source: Self-asserted source
Valentin Radu

Mapping parallelism in a functional IR through constraint satisfaction: a case study on convolution for mobile GPUs

Proceedings of the 31st ACM SIGPLAN International Conference on Compiler Construction
2022-03-19 | Conference paper
Contributors: Naums Mogers; Lu Li; Valentin Radu; Christophe Dubach
Source: Self-asserted source
Valentin Radu

An Immune Inspired Algorithm for Fault Tolerant Enhanced Multimodal Machine Learning

2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
2021-12-09 | Conference paper
Contributors: Mattias Cross; Valentin Radu
Source: Self-asserted source
Valentin Radu

Active Learning with Data Distribution Shift Detection for Updating Localization Systems

2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN)
2021-11-29 | Conference paper
Contributors: Josh Barrows; Valentin Radu; Matthew Hill; Fabio Ciravegna
Source: Self-asserted source
Valentin Radu

MM-Loc: Cross-sensor Indoor Smartphone Location Tracking using Multimodal Deep Neural Networks

2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN)
2021-11-29 | Conference paper
Contributors: Xijia Wei; Zhiqiang Wei; Valentin Radu
Source: Self-asserted source
Valentin Radu

Sensor-Fusion for Smartphone Location Tracking Using Hybrid Multimodal Deep Neural Networks

Sensors
2021-11-11 | Journal article
Part of ISSN: 1424-8220
Contributors: XIJIA WEI; Zhiqiang Wei; Valentin Radu
Source: Self-asserted source
Valentin Radu

Fast Optimisation of Convolutional Neural Network Inference using System Performance Models

Proceedings of the 1st Workshop on Machine Learning and Systems
2021-04-26 | Conference paper
Contributors: Rik Mulder; Valentin Radu; Christophe Dubach
Source: Self-asserted source
Valentin Radu

Towards Federated Learning with Attention Transfer to Mitigate System and Data Heterogeneity of Clients

Proceedings of the 4th International Workshop on Edge Systems, Analytics and Networking
2021-04-26 | Conference paper
Contributors: Hongrui Shi; Valentin Radu
Source: Self-asserted source
Valentin Radu

MM-Fit: Multimodal Deep Learning for Automatic Exercise Logging across Sensing Devices

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
2020-12-17 | Journal article
Part of ISSN: 2474-9567
Contributors: David Strömbäck; Sangxia Huang; Valentin Radu
Source: Self-asserted source
Valentin Radu

Optimising the performance of convolutional neural networks across computing systems using transfer learning

arXiv:2010.10621
2020-10-20 | Preprint
Contributors: Rik Mulder; Valentin Radu; Christophe Dubach
Source: Self-asserted source
Valentin Radu

TASO: Time and Space Optimization for Memory-Constrained DNN Inference

2020 IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)
2020-09 | Conference paper
Contributors: Yuan Wen; Andrew Anderson; Valentin Radu; Michael F.P. O'Boyle; David Gregg
Source: Self-asserted source
Valentin Radu

Automatic generation of specialized direct convolutions for mobile GPUs

Proceedings of the 13th Annual Workshop on General Purpose Processing using Graphics Processing Unit
2020-02-23 | Conference paper
Contributors: Naums Mogers; Valentin Radu; Lu Li; Jack Turner; Michael O'Boyle; Christophe Dubach
Source: Self-asserted source
Valentin Radu

Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs

2019 IEEE International Symposium on Workload Characterization (IISWC)
2019-11 | Conference paper
Contributors: Valentin Radu; Kuba Kaszyk; Yuan Wen; Jack Turner; Jose Cano; Elliot J. Crowley; Bjorn Franke; Amos Storkey; Michael O'Boyle
Source: Self-asserted source
Valentin Radu

Calibrating Recurrent Neural Networks on Smartphone Inertial Sensors for Location Tracking

2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN)
2019-09 | Conference paper
Contributors: Xijia Wei; Valentin Radu
Source: Self-asserted source
Valentin Radu

CamLoc: Pedestrian Location Estimation through Body Pose Estimation on Smart Cameras

2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN)
2019-09 | Conference paper
Contributors: Adrian Cosma; Ion Emilian Radoi; Valentin Radu
Source: Self-asserted source
Valentin Radu

Localization Systems Repository: A Platform for Open-source Localization Systems and Datasets

2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN)
2019-09 | Conference paper
Contributors: Ion Emilian Radoi; Dumitru Cirimpei; Valentin Radu
Source: Self-asserted source
Valentin Radu

Space and Time Optimal DNN Primitive Selection with Integer Linear Programming

2019 28th International Conference on Parallel Architectures and Compilation Techniques (PACT)
2019-09 | Conference poster
Contributors: Andrew Anderson; Valentin Radu; Michael F.P. O'Boyle; David Gregg
Source: Self-asserted source
Valentin Radu

Vision2Sensor: Knowledge Transfer Across Sensing Modalities for Human Activity Recognition

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
2019-09-09 | Journal article
Part of ISSN: 2474-9567
Contributors: Valentin Radu; Maximilian Henne
Source: Self-asserted source
Valentin Radu

Distilling with performance enhanced students

arXiv:1810.10460
2019-03 | Preprint
Contributors: Jack Turner; Elliot J Crowley; Valentin Radu; José Cano; Amos Storkey; Michael O’Boyle
Source: Self-asserted source
Valentin Radu

Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks

2018 IEEE International Symposium on Workload Characterization (IISWC)
2018-09 | Conference paper
Contributors: Jack Turner; Jose Cano; Valentin Radu; Elliot J. Crowley; Michael O'Boyle; Amos Storkey
Source: Self-asserted source
Valentin Radu

Multimodal Deep Learning for Activity and Context Recognition

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
2018-01-08 | Journal article
Part of ISSN: 2474-9567
Contributors: Valentin Radu; Catherine Tong; Sourav Bhattacharya; Nicholas D. Lane; Cecilia Mascolo; Mahesh K. Marina; Fahim Kawsar
Source: Self-asserted source
Valentin Radu

Towards multimodal deep learning for activity recognition on mobile devices

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct
2016-09-12 | Conference paper
Contributors: Valentin Radu; Nicholas D. Lane; Sourav Bhattacharya; Cecilia Mascolo; Mahesh K. Marina; Fahim Kawsar
Source: Self-asserted source
Valentin Radu

Impact of Indoor-Outdoor Context on Crowdsourcing based Mobile Coverage Analysis

Proceedings of the 5th Workshop on All Things Cellular: Operations, Applications and Challenges
2015-08-17 | Conference paper
Contributors: Mahesh K. Marina; Valentin Radu; Konstantinos Balampekos
Source: Self-asserted source
Valentin Radu

A semi-supervised learning approach for robust indoor-outdoor detection with smartphones

Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems
2014-11-03 | Conference paper
Contributors: Valentin Radu; Panagiota Katsikouli; Rik Sarkar; Mahesh K. Marina
Source: Self-asserted source
Valentin Radu

Am I indoor or outdoor?

Proceedings of the 20th annual international conference on Mobile computing and networking
2014-09-07 | Conference poster
Contributors: Valentin Radu; Panagiota Katsikouli; Rik Sarkar; Mahesh K. Marina
Source: Self-asserted source
Valentin Radu

HiMLoc: Indoor smartphone localization via activity aware Pedestrian Dead Reckoning with selective crowdsourced WiFi fingerprinting

International Conference on Indoor Positioning and Indoor Navigation
2013-10 | Conference paper
Contributors: Valentin Radu; Mahesh K. Marina
Source: Self-asserted source
Valentin Radu

Pazl: A mobile crowdsensing based indoor WiFi monitoring system

Proceedings of the 9th International Conference on Network and Service Management (CNSM 2013)
2013-10 | Conference paper
Contributors: Valentin Radu; Lito Kriara; Mahesh K. Marina
Source: Self-asserted source
Valentin Radu

A Hybrid Approach for Indoor Mobile Phone Localization

Proceedings of the 10th international conference on Mobile systems, applications, and services
2012-06-25 | Conference paper
Contributors: Valentin Radu; Jiwei Li; Lito Kriara; Mahesh K. Marina; Richard Mortier
Source: Self-asserted source
Valentin Radu

Peer review (1 review for 1 publication/grant)

Review activity for Nature medicine. (1)