Valentin Radu

Orcid: 0000-0003-3502-4355

According to our database1, Valentin Radu authored at least 37 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Digital Revolution and Digitization Process to Promote AIS as a Vector of Financial Performance.
Syst., July, 2023

Floorplan Generation from Noisy Point Cloud.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications, 2023

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

Lightweight Workloads in Heterogeneous Federated Learning via Few-shot Learning.
Proceedings of the 4th International Workshop on Distributed Machine Learning, 2023

2022
Closing the Gap between Client and Global Model Performance in Heterogeneous Federated Learning.
CoRR, 2022

Leveraging Transfer Learning for Robust Multimodal Positioning Systems using Smartphone Multi-sensor Data.
Proceedings of the 12th IEEE International Conference on Indoor Positioning and Indoor Navigation, 2022

Data selection for efficient model update in federated learning.
Proceedings of the EuroMLSys '22: Proceedings of the 2nd European Workshop on Machine Learning and Systems, Rennes, France, April 5, 2022

Mapping parallelism in a functional IR through constraint satisfaction: a case study on convolution for mobile GPUs.
Proceedings of the CC '22: 31st ACM SIGPLAN International Conference on Compiler Construction, Seoul, South Korea, April 2, 2022

2021
Sensor-Fusion for Smartphone Location Tracking Using Hybrid Multimodal Deep Neural Networks.
Sensors, 2021

MM-Loc: Cross-sensor Indoor Smartphone Location Tracking using Multimodal Deep Neural Networks.
Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2021

Active Learning with Data Distribution Shift Detection for Updating Localization Systems.
Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2021

Towards Federated Learning with Attention Transfer to Mitigate System and Data Heterogeneity of Clients.
Proceedings of the EdgeSys@EuroSys 2021: 4th International Workshop on Edge Systems, 2021

Fast Optimisation of Convolutional Neural Network Inference using System Performance Models.
Proceedings of the EuroMLSys@EuroSys 2021, 2021

An Immune Inspired Algorithm for Fault Tolerant Enhanced Multimodal Machine Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
MM-Fit: Multimodal Deep Learning for Automatic Exercise Logging across Sensing Devices.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Bibliometric Analysis of Fuzzy Logic Research in International Scientific Databases.
Int. J. Comput. Commun. Control, 2020

Optimising the Performance of Convolutional Neural Networks across Computing Systems using Transfer Learning.
CoRR, 2020

TASO: Time and Space Optimization for Memory-Constrained DNN Inference.
Proceedings of the 32nd IEEE International Symposium on Computer Architecture and High Performance Computing, 2020

Automatic generation of specialized direct convolutions for mobile GPUs.
Proceedings of the GPGPU@PPoPP '20: 13th Annual Workshop on General Purpose Processing using Graphics Processing Unit colocated with 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2020

2019
Vision2Sensor: Knowledge Transfer Across Sensing Modalities for Human Activity Recognition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

Calibrating Recurrent Neural Networks on Smartphone Inertial Sensors for Location Tracking.
Proceedings of the 2019 International Conference on Indoor Positioning and Indoor Navigation, 2019

Localization Systems Repository: A Platform for Open-source Localization Systems and Datasets.
Proceedings of the 2019 International Conference on Indoor Positioning and Indoor Navigation, 2019

CamLoc: Pedestrian Location Estimation through Body Pose Estimation on Smart Cameras.
Proceedings of the 2019 International Conference on Indoor Positioning and Indoor Navigation, 2019

Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs.
Proceedings of the IEEE International Symposium on Workload Characterization, 2019

POSTER: Space and Time Optimal DNN Primitive Selection with Integer Linear Programming.
Proceedings of the 28th International Conference on Parallel Architectures and Compilation Techniques, 2019

2018
CamLoc: Pedestrian Location Detection from Pose Estimation on Resource-constrained Smart-cameras.
CoRR, 2018

HAKD: Hardware Aware Knowledge Distillation.
CoRR, 2018

Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks.
Proceedings of the 2018 IEEE International Symposium on Workload Characterization, 2018

2017
Multimodal sensing for robust and energy-efficient context detection with smart mobile devices.
PhD thesis, 2017

Multimodal Deep Learning for Activity and Context Recognition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

2016
Towards multimodal deep learning for activity recognition on mobile devices.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016

2015
Impact of Indoor-Outdoor Context on Crowdsourcing based Mobile Coverage Analysis.
Proceedings of the 5th Workshop on All Things Cellular: Operations, 2015

2014
A semi-supervised learning approach for robust indoor-outdoor detection with smartphones.
Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems, 2014

Poster: am i indoor or outdoor?
Proceedings of the 20th Annual International Conference on Mobile Computing and Networking, 2014

2013
HiMLoc: Indoor smartphone localization via activity aware Pedestrian Dead Reckoning with selective crowdsourced WiFi fingerprinting.
Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2013

Pazl: A mobile crowdsensing based indoor WiFi monitoring system.
Proceedings of the 9th International Conference on Network and Service Management, 2013

2012
Poster: a hybrid approach for indoor mobile phone localization.
Proceedings of the 10th International Conference on Mobile Systems, 2012


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