Poster: a hybrid approach for indoor mobile phone localization. - Valentin Radu; Jiwei Li; Lito Kriara; Mahesh K. Marina; Richard Mortier (MobiSys, 2012)

Pazl: A mobile crowdsensing based indoor WiFi monitoring system. - Valentin Radu; Lito Kriara; Mahesh K. Marina (CNSM, 2013)

HiMLoc: Indoor smartphone localization via activity aware Pedestrian Dead Reckoning with selective crowdsourced WiFi fingerprinting. - Valentin Radu; Mahesh K. Marina (IPIN, 2013)

Poster: am i indoor or outdoor? - Valentin Radu; Panagiota Katsikouli; Rik Sarkar; Mahesh K. Marina (MobiCom, 2014)

A semi-supervised learning approach for robust indoor-outdoor detection with smartphones. - Valentin Radu; Panagiota Katsikouli; Rik Sarkar; Mahesh K. Marina (SenSys, 2014)

Impact of Indoor-Outdoor Context on Crowdsourcing based Mobile Coverage Analysis. - Mahesh K. Marina; Valentin Radu; Konstantinos Balampekos (AllThingsCellular@SIGCOMM, 2015)

Towards multimodal deep learning for activity recognition on mobile devices. - Valentin Radu; Nicholas D. Lane; Sourav Bhattacharya; Cecilia Mascolo; Mahesh K. Marina; Fahim Kawsar (UbiComp Adjunct, 2016)

Multimodal Deep Learning for Activity and Context Recognition. - Valentin Radu; Catherine Tong; Sourav Bhattacharya; Nicholas D. Lane; Cecilia Mascolo; Mahesh K. Marina; Fahim Kawsar (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Multimodal sensing for robust and energy-efficient context detection with smart mobile devices. - Valentin Radu (2017)

Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks. - Jack Turner; José Cano 001; Valentin Radu; Elliot J. Crowley; Michael F. P. O'Boyle; Amos J. Storkey (IISWC, 2018)

HAKD: Hardware Aware Knowledge Distillation. - Jack Turner; Elliot J. Crowley; Valentin Radu; José Cano 001; Amos J. Storkey; Michael F. P. O'Boyle (CoRR, 2018)

CamLoc: Pedestrian Location Detection from Pose Estimation on Resource-constrained Smart-cameras. - Adrian Cosma; Ion Emilian Radoi; Valentin Radu (CoRR, 2018)

POSTER: Space and Time Optimal DNN Primitive Selection with Integer Linear Programming. - Yuan Wen; Andrew Anderson 001; Valentin Radu; Michael F. P. O'Boyle; David Gregg (PACT, 2019)

Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs. - Valentin Radu; Kuba Kaszyk; Yuan Wen; Jack Turner; José Cano 001; Elliot J. Crowley; Björn Franke; Amos J. Storkey; Michael F. P. O'Boyle (IISWC, 2019)

CamLoc: Pedestrian Location Estimation through Body Pose Estimation on Smart Cameras. - Adrian Cosma; Ion Emilian Radoi; Valentin Radu (IPIN, 2019)

Localization Systems Repository: A Platform for Open-source Localization Systems and Datasets. - Ion Emilian Radoi; Dumitru Cirimpei; Valentin Radu (IPIN, 2019)

Calibrating Recurrent Neural Networks on Smartphone Inertial Sensors for Location Tracking. - Xijia Wei; Valentin Radu (IPIN, 2019)

Vision2Sensor: Knowledge Transfer Across Sensing Modalities for Human Activity Recognition. - Valentin Radu; Maximilian Henne (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

Automatic generation of specialized direct convolutions for mobile GPUs. - Naums Mogers; Valentin Radu; Lu Li; Jack Turner; Michael F. P. O'Boyle; Christophe Dubach (GPGPU@PPoPP, 2020)

TASO: Time and Space Optimization for Memory-Constrained DNN Inference. - Yuan Wen; Andrew Anderson 001; Valentin Radu; Michael F. P. O'Boyle; David Gregg (SBAC-PAD, 2020)

Optimising the Performance of Convolutional Neural Networks across Computing Systems using Transfer Learning. - Rik Mulder; Valentin Radu; Christophe Dubach (CoRR, 2020)

Bibliometric Analysis of Fuzzy Logic Research in International Scientific Databases. - Valentin Radu; Florin Radu; Alina Iuliana Tabirca; Silviu Ilie Saplacan; Ramona Lile (Int. J. Comput. Commun. Control, 2020)

MM-Fit: Multimodal Deep Learning for Automatic Exercise Logging across Sensing Devices. - David Strömbäck; Sangxia Huang; Valentin Radu (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

An Immune Inspired Algorithm for Fault Tolerant Enhanced Multimodal Machine Learning. - Mattias Cross; Valentin Radu (BIBM, 2021)

Fast Optimisation of Convolutional Neural Network Inference using System Performance Models. - Rik Mulder; Valentin Radu; Christophe Dubach (EuroMLSys@EuroSys, 2021)

Towards Federated Learning with Attention Transfer to Mitigate System and Data Heterogeneity of Clients. - Hongrui Shi; Valentin Radu (EdgeSys@EuroSys, 2021)

Active Learning with Data Distribution Shift Detection for Updating Localization Systems. - Josh Barrows; Valentin Radu; Matthew Hill; Fabio Ciravegna (IPIN, 2021)

MM-Loc: Cross-sensor Indoor Smartphone Location Tracking using Multimodal Deep Neural Networks. - Xijia Wei; Zhiqiang Wei; Valentin Radu (IPIN, 2021)

Sensor-Fusion for Smartphone Location Tracking Using Hybrid Multimodal Deep Neural Networks. - Xijia Wei; Zhiqiang Wei; Valentin Radu (Sensors, 2021)

Mapping parallelism in a functional IR through constraint satisfaction: a case study on convolution for mobile GPUs. - Naums Mogers; Lu Li; Valentin Radu; Christophe Dubach (CC, 2022)

Data selection for efficient model update in federated learning. - Hongrui Shi; Valentin Radu (EuroMLSys@EuroSys, 2022)

Leveraging Transfer Learning for Robust Multimodal Positioning Systems using Smartphone Multi-sensor Data. - Xijia Wei; Valentin Radu (IPIN, 2022)

Closing the Gap between Client and Global Model Performance in Heterogeneous Federated Learning. - Hongrui Shi; Valentin Radu; Po Yang 001 (CoRR, 2022)

Lightweight Workloads in Heterogeneous Federated Learning via Few-shot Learning. - Hongrui Shi; Valentin Radu; Po Yang 001 (DistributedML@CoNEXT, 2023)

Distributed Training for Speech Recognition using Local Knowledge Aggregation and Knowledge Distillation in Heterogeneous Systems. - Hongrui Shi; Valentin Radu; Po Yang 001 (EuroMLSys@EuroSys, 2023)

Floorplan Generation from Noisy Point Cloud. - Anselmo Talotta; Valentin Radu; Lorenzo Sorgi (GeoIndstry@SIGSPATIAL, 2023)

Digital Revolution and Digitization Process to Promote AIS as a Vector of Financial Performance. - Rima H. Binsaeed; Zahid Yousaf; Adriana Grigorescu; Valentin Radu; Abdelmohsen A. Nassani (Syst., 2023)

Generative AI Assertions in UVM-Based System Verilog Functional Verification. - Valentin Radu; Diana Dranga; Catalin Marian Dumitrescu; Alina Iuliana Tabirca; Maria Cristina Stefan (Syst., 2024)

Federated Learning with Workload Reduction through Partial Training of Client Models and Entropy-Based Data Selection. - Hongrui Shi; Valentin Radu; Po Yang 001 (CoRR, 2025)