Valentin Radu - RankMe

45 papers A* 1A 2B 3C 8Misc 1Journal 17Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Federated Learning with Workload Reduction through Partial Training of Client Models and Entropy-Based Data Selection. ICDCS Hongrui Shi, Valentin Radu, Po Yang
2025	J	`jnl`	Federated Learning with Workload Reduction through Partial Training of Client Models and Entropy-Based Data Selection. CoRR Hongrui Shi, Valentin Radu, Po Yang
2025	J	`jnl`	Professional Determinants in ESG Reporting for Sustainable Financial Assessment. Syst. Alina Iuliana Tabirca, Valentin Radu, Angela-Nicoleta Cozorici, Loredana-Cristina Tanase, Florin Radu
2024	J	`jnl`	Generative AI Assertions in UVM-Based System Verilog Functional Verification. Syst. Valentin Radu, Diana Dranga, Catalin Marian Dumitrescu, Alina Iuliana Tabirca, Maria Cristina Stefan
2023	J	`jnl`	Digital Revolution and Digitization Process to Promote AIS as a Vector of Financial Performance. Syst. Rima H. Binsaeed, Zahid Yousaf, Adriana Grigorescu, Valentin Radu, Abdelmohsen A. Nassani
2023	—	`conf`	Distributed Training for Speech Recognition using Local Knowledge Aggregation and Knowledge Distillation in Heterogeneous Systems. EuroMLSys@EuroSys Hongrui Shi, Valentin Radu, Po Yang
2023	—	`conf`	Floorplan Generation from Noisy Point Cloud. GeoIndstry@SIGSPATIAL Anselmo Talotta, Valentin Radu, Lorenzo Sorgi
2023	—	`conf`	Lightweight Workloads in Heterogeneous Federated Learning via Few-shot Learning. DistributedML@CoNEXT Hongrui Shi, Valentin Radu, Po Yang
2022	J	`jnl`	Closing the Gap between Client and Global Model Performance in Heterogeneous Federated Learning. CoRR Hongrui Shi, Valentin Radu, Po Yang
2022	—	`conf`	Data selection for efficient model update in federated learning. EuroMLSys@EuroSys Hongrui Shi, Valentin Radu
2022	C	`conf`	Leveraging Transfer Learning for Robust Multimodal Positioning Systems using Smartphone Multi-sensor Data. IPIN Xijia Wei, Valentin Radu
2022	B	`conf`	Mapping parallelism in a functional IR through constraint satisfaction: a case study on convolution for mobile GPUs. CC Naums Mogers, Lu Li, Valentin Radu, Christophe Dubach
2021	C	`conf`	Active Learning with Data Distribution Shift Detection for Updating Localization Systems. IPIN Josh Barrows, Valentin Radu, Matthew Hill, Fabio Ciravegna
2021	—	`conf`	An Immune Inspired Algorithm for Fault Tolerant Enhanced Multimodal Machine Learning. BIBM Mattias Cross, Valentin Radu
2021	J	`jnl`	Data Selection for Efficient Model Update in Federated Learning. CoRR Hongrui Shi, Valentin Radu
2021	—	`conf`	Fast Optimisation of Convolutional Neural Network Inference using System Performance Models. EuroMLSys@EuroSys Rik Mulder, Valentin Radu, Christophe Dubach
2021	C	`conf`	MM-Loc: Cross-sensor Indoor Smartphone Location Tracking using Multimodal Deep Neural Networks. IPIN Xijia Wei, Zhiqiang Wei, Valentin Radu
2021	J	`jnl`	Sensor-Fusion for Smartphone Location Tracking Using Hybrid Multimodal Deep Neural Networks. Sensors Xijia Wei, Zhiqiang Wei, Valentin Radu
2021	—	`conf`	Towards Federated Learning with Attention Transfer to Mitigate System and Data Heterogeneity of Clients. EdgeSys@EuroSys Hongrui Shi, Valentin Radu
2020	—	`conf`	Automatic generation of specialized direct convolutions for mobile GPUs. GPGPU@PPoPP Naums Mogers, Valentin Radu, Lu Li, Jack Turner, Michael F. P. O'Boyle, Christophe Dubach
2020	J	`jnl`	Bibliometric Analysis of Fuzzy Logic Research in International Scientific Databases. Int. J. Comput. Commun. Control Valentin Radu, Florin Radu, Alina Iuliana Tabirca, Silviu Ilie Saplacan, Ramona Lile
2020	J	`jnl`	MM-Fit: Multimodal Deep Learning for Automatic Exercise Logging across Sensing Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. David Strömbäck, Sangxia Huang, Valentin Radu
2020	J	`jnl`	Optimising the Performance of Convolutional Neural Networks across Computing Systems using Transfer Learning. CoRR Rik Mulder, Valentin Radu, Christophe Dubach
2020	J	`jnl`	Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs. CoRR Valentin Radu, Kuba Kaszyk, Yuan Wen, Jack Turner, José Cano, Elliot J. Crowley, Björn Franke, Amos Storkey, Michael F. P. O'Boyle
2020	C	`conf`	TASO: Time and Space Optimization for Memory-Constrained DNN Inference. SBAC-PAD Yuan Wen, Andrew Anderson, Valentin Radu, Michael F. P. O'Boyle, David Gregg
2020	J	`jnl`	TASO: Time and Space Optimization for Memory-Constrained DNN Inference. CoRR Yuan Wen, Andrew Anderson, Valentin Radu, Michael F. P. O'Boyle, David Gregg
2019	C	`conf`	Calibrating Recurrent Neural Networks on Smartphone Inertial Sensors for Location Tracking. IPIN Xijia Wei, Valentin Radu
2019	C	`conf`	CamLoc: Pedestrian Location Estimation through Body Pose Estimation on Smart Cameras. IPIN Adrian Cosma, Ion Emilian Radoi, Valentin Radu
2019	C	`conf`	Localization Systems Repository: A Platform for Open-source Localization Systems and Datasets. IPIN Ion Emilian Radoi, Dumitru Cirimpei, Valentin Radu
2019	B	`conf`	POSTER: Space and Time Optimal DNN Primitive Selection with Integer Linear Programming. PACT Yuan Wen, Andrew Anderson, Valentin Radu, Michael F. P. O'Boyle, David Gregg
2019	—	`conf`	Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs. IISWC Valentin Radu, Kuba Kaszyk, Yuan Wen, Jack Turner, José Cano, Elliot J. Crowley, Björn Franke, Amos Storkey, Michael F. P. O'Boyle
2019	J	`jnl`	Vision2Sensor: Knowledge Transfer Across Sensing Modalities for Human Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Valentin Radu, Maximilian Henne
2018	J	`jnl`	CamLoc: Pedestrian Location Detection from Pose Estimation on Resource-constrained Smart-cameras. CoRR Adrian Cosma, Ion Emilian Radoi, Valentin Radu
2018	—	`conf`	Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks. IISWC Jack Turner, José Cano, Valentin Radu, Elliot J. Crowley, Michael F. P. O'Boyle, Amos Storkey
2018	J	`jnl`	Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks. CoRR Jack Turner, José Cano, Valentin Radu, Elliot J. Crowley, Michael F. P. O'Boyle, Amos Storkey
2018	J	`jnl`	HAKD: Hardware Aware Knowledge Distillation. CoRR Jack Turner, Elliot J. Crowley, Valentin Radu, José Cano, Amos Storkey, Michael F. P. O'Boyle
2017	J	`jnl`	Multimodal Deep Learning for Activity and Context Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Valentin Radu, Catherine Tong, Sourav Bhattacharya, Nicholas D. Lane, Cecilia Mascolo, Mahesh K. Marina, Fahim Kawsar
2017	—	`—`	Multimodal sensing for robust and energy-efficient context detection with smart mobile devices. Valentin Radu
2016	—	`conf`	Towards multimodal deep learning for activity recognition on mobile devices. UbiComp Adjunct Valentin Radu, Nicholas D. Lane, Sourav Bhattacharya, Cecilia Mascolo, Mahesh K. Marina, Fahim Kawsar
2015	—	`conf`	Impact of Indoor-Outdoor Context on Crowdsourcing based Mobile Coverage Analysis. AllThingsCellular@SIGCOMM Mahesh K. Marina, Valentin Radu, Konstantinos Balampekos
2014	Misc	`conf`	A semi-supervised learning approach for robust indoor-outdoor detection with smartphones. SenSys Valentin Radu, Panagiota Katsikouli, Rik Sarkar, Mahesh K. Marina
2014	A*	`conf`	Poster: am i indoor or outdoor? MobiCom Valentin Radu, Panagiota Katsikouli, Rik Sarkar, Mahesh K. Marina
2013	C	`conf`	HiMLoc: Indoor smartphone localization via activity aware Pedestrian Dead Reckoning with selective crowdsourced WiFi fingerprinting. IPIN Valentin Radu, Mahesh K. Marina
2013	B	`conf`	Pazl: A mobile crowdsensing based indoor WiFi monitoring system. CNSM Valentin Radu, Lito Kriara, Mahesh K. Marina
2012	A	`conf`	Poster: a hybrid approach for indoor mobile phone localization. MobiSys Valentin Radu, Jiwei Li, Lito Kriara, Mahesh K. Marina, Richard Mortier