Jose A. Ayala-Romero
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
7
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | INFOCOM | SPIFF: Selective Preservation of Image Fidelity for Bandwidth-constrained Heterogeneous Networks. | Marco Palena, Jose A. Ayala-Romero, Andres Garcia-Saavedra, Carla Fabiana Chiasserini |
| 2025 | INFOCOM | FairRIC: Real-Time Fair Allocation in O-RAN with Shared Computing. | Fatih Aslan, Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-Prez, George Iosifidis |
| 2025 | INFOCOM | Kairos: Energy-Efficient Radio Unit Control for O-RAN via Advanced Sleep Modes. | J. Xavier Salvat Lozano, Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-Prez |
| 2025 | SIGMETRICS | Quantum Computing in the RAN with Qu4Fec: Closing Gaps Towards Quantum-based FEC Processors. | Nikolaos Apostolakis, Marta Sierra-Obea, Marco Gramaglia, Jose A. Ayala-Romero, Andres Garcia-Saavedra, Marco Fiore, Albert Banchs, Xavier Costa-Prez |
| 2024 | AAAI | Risk-Aware Continuous Control with Neural Contextual Bandits. | Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-Prez |
| 2024 | INFOCOM | Mean-Field Multi-Agent Contextual Bandit for Energy-Efficient Resource Allocation in vRANs. | Jose A. Ayala-Romero, Leonardo Lo Schiavo, Andres Garcia-Saavedra, Xavier Costa-Prez |
| 2024 | INFOCOM | YinYangRAN: Resource Multiplexing in GPU-Accelerated Virtualized RANs. | Leonardo Lo Schiavo, Jose A. Ayala-Romero, Andres Garcia-Saavedra, Marco Fiore, Xavier Costa-Prez |
| 2024 | SIGMETRICS | Fair Resource Allocation in Virtualized O-RAN Platforms. | Fatih Aslan, George Iosifidis, Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-Prez |
| 2022 | CIKM | KRAF: A Flexible Advertising Framework using Knowledge Graph-Enriched Multi-Agent Reinforcement Learning. | Jose A. Ayala-Romero, Pter Mernyei, Bichen Shi, Diego Mazn |
| 2022 | GLOBECOM | ML Approach for Power Consumption Prediction in Virtualized Base Stations. | Merim Dzaferagic, Jose A. Ayala-Romero, Marco Ruffini |
| 2021 | CoNEXT | EdgeBOL: automating energy-savings for mobile edge AI. | Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-Prez, George Iosifidis |
| 2021 | INFOCOM | Demonstrating a Bayesian Online Learning for Energy-Aware Resource Orchestration in vRANs. | Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-Prez, George Iosifidis |
| 2021 | INFOCOM | Bayesian Online Learning for Energy-Aware Resource Orchestration in Virtualized RANs. | Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-Prez, George Iosifidis |
| 2021 | INFOCOM | AutoML for Video Analytics with Edge Computing. | Apostolos Galanopoulos, Jose A. Ayala-Romero, Douglas J. Leith, George Iosifidis |
| 2020 | GLOBECOM | Bayesian Online Learning for MEC Object Recognition Systems. | Apostolos Galanopoulos, Jose A. Ayala-Romero, George Iosifidis, Douglas J. Leith |
| 2019 | MOBICOM | vrAIn: A Deep Learning Approach Tailoring Computing and Radio Resources in Virtualized RANs. | Jose A. Ayala-Romero, Andres Garcia-Saavedra, Marco Gramaglia, Xavier Costa-Prez, Albert Banchs, Juan J. Alcaraz |
| 2019 | MOBICOM | Demo: vrAIn Proof-of-Concept - A Deep Learning Approach for Virtualized RAN Resource Control. | Jose A. Ayala-Romero, Andres Garcia-Saavedra, Marco Gramaglia, Xavier Costa-Prez, Albert Banchs, Juan J. Alcaraz |