| 2026 | Mobisys | Beyond Storage: Toward Living Memory Systems for LLMs on the Edge. | Myles Foley, Valentin Radu, Massimo Pegoraro, Maryam Vahdat Pour, Frank Faricy, Mark Girolami |
| 2026 | Mobisys | CrossBench: Reproducible LLM Memory Evaluation Across Conversational and Coding Workloads. | Valentin Radu, Myles Foley, Maryam Vahdat Pour, Massimo Pegoraro, Frank Faricy, Mark Girolami |
| 2026 | Mobisys | Demo: Mobile Vibe-Coding with Fully Local Models and Memory. | Valentin Radu, Myles Foley, Maryam Vahdat Pour, Massimo Pegoraro, Frank Faricy, Mark Girolami |
| 2026 | Mobisys | Demo: A Local Agentic Memory Layer for LLM-Assisted Coding. | Valentin Radu, Maryam Vahdat Pour, Massimo Pegoraro, Myles Foley, Frank Faricy, Mark Girolami |
| 2025 | ICDCS | Federated Learning with Workload Reduction through Partial Training of Client Models and Entropy-Based Data Selection. | Hongrui Shi, Valentin Radu, Po Yang |
| 2023 | EuroSys | Distributed Training for Speech Recognition using Local Knowledge Aggregation and Knowledge Distillation in Heterogeneous Systems. | Hongrui Shi, Valentin Radu, Po Yang |
| 2022 | CC | 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 |
| 2022 | EuroSys | Data selection for efficient model update in federated learning. | Hongrui Shi, Valentin Radu |
| 2022 | IPIN | Leveraging Transfer Learning for Robust Multimodal Positioning Systems using Smartphone Multi-sensor Data. | Xijia Wei, Valentin Radu |
| 2021 | EuroSys | Fast Optimisation of Convolutional Neural Network Inference using System Performance Models. | Rik Mulder, Valentin Radu, Christophe Dubach |
| 2021 | EuroSys | Towards Federated Learning with Attention Transfer to Mitigate System and Data Heterogeneity of Clients. | Hongrui Shi, Valentin Radu |
| 2021 | IPIN | Active Learning with Data Distribution Shift Detection for Updating Localization Systems. | Josh Barrows, Valentin Radu, Matthew Hill, Fabio Ciravegna |
| 2021 | IPIN | MM-Loc: Cross-sensor Indoor Smartphone Location Tracking using Multimodal Deep Neural Networks. | Xijia Wei, Zhiqiang Wei, Valentin Radu |
| 2020 | PPoPP | Automatic generation of specialized direct convolutions for mobile GPUs. | Naums Mogers, Valentin Radu, Lu Li, Jack Turner, Michael F. P. O'Boyle, Christophe Dubach |
| 2020 | SBAC-PAD | TASO: Time and Space Optimization for Memory-Constrained DNN Inference. | Yuan Wen, Andrew Anderson, Valentin Radu, Michael F. P. O'Boyle, David Gregg |
| 2019 | IPIN | CamLoc: Pedestrian Location Estimation through Body Pose Estimation on Smart Cameras. | Adrian Cosma, Ion Emilian Radoi, Valentin Radu |
| 2019 | IPIN | Localization Systems Repository: A Platform for Open-source Localization Systems and Datasets. | Ion Emilian Radoi, Dumitru Cirimpei, Valentin Radu |
| 2019 | IPIN | Calibrating Recurrent Neural Networks on Smartphone Inertial Sensors for Location Tracking. | Xijia Wei, Valentin Radu |
| 2015 | SIGCOMM | Impact of Indoor-Outdoor Context on Crowdsourcing based Mobile Coverage Analysis. | Mahesh K. Marina, Valentin Radu, Konstantinos Balampekos |
| 2014 | MOBICOM | Poster: am i indoor or outdoor? | Valentin Radu, Panagiota Katsikouli, Rik Sarkar, Mahesh K. Marina |
| 2014 | SENSYS | A semi-supervised learning approach for robust indoor-outdoor detection with smartphones. | Valentin Radu, Panagiota Katsikouli, Rik Sarkar, Mahesh K. Marina |
| 2013 | CNSM | Pazl: A mobile crowdsensing based indoor WiFi monitoring system. | Valentin Radu, Lito Kriara, Mahesh K. Marina |
| 2013 | IPIN | HiMLoc: Indoor smartphone localization via activity aware Pedestrian Dead Reckoning with selective crowdsourced WiFi fingerprinting. | Valentin Radu, Mahesh K. Marina |
| 2012 | Mobisys | Poster: a hybrid approach for indoor mobile phone localization. | Valentin Radu, Jiwei Li, Lito Kriara, Mahesh K. Marina, Richard Mortier |