Scholar

Matthieu Jonckheere

Google Scholar ID: qC8d5_kAAAAJ

LAAS-CNRS

ProbabilityComplex networksMachine learningPerformance evaluation of communication systems

Homepage↗Google Scholar↗

Citations & Impact

All-time

Citations

512

H-index

i10-index

Publications

Co-authors

list available

Contact

No contact links provided.

Publications

8 items

Optimization Trade-offs in Asynchronous Federated Learning: A Stochastic Networks Approach

2026

Cited

$K-$means with leraned metrics

2026

Cited

Online Matching via Reinforcement Learning: An Expert Policy Orchestration Strategy

2025

Cited

Probabilistic Insights for Efficient Exploration Strategies in Reinforcement Learning

2025

Cited

Optimizing Asynchronous Federated Learning: A Delicate Trade-Off Between Model-Parameter Staleness and Update Frequency

2025

Cited

Score-Aware Policy-Gradient Methods and Performance Guarantees using Local Lyapunov Conditions: Applications to Product-Form Stochastic Networks and Queueing Systems

arXiv.org · 2023

Cited

Symphony of experts: orchestration with adversarial insights in reinforcement learning

arXiv.org · 2023

Cited

Generalized Spectral Clustering for Directed and Undirected Graphs

arXiv.org · 2022

Cited

Resume (English only)

Academic Achievements

- Published 'Improving Image Recognition Accuracy Using Deep Learning' in the International Journal of Computer Vision, 2019
- Received National Natural Science Foundation Grant, 2020

Research Experience

- Senior Researcher at XX Company, 2020-Present
- Assistant Researcher at YY Lab, 2018-2020

Education

- PhD, XX University, Advisor: Prof. Zhang San, 2015-2020, Major: Computer Science
- Master's Degree, YY University, 2013-2015, Major: Software Engineering

Background

- Research Interests: Artificial Intelligence, Machine Learning
- Professional Field: Computer Science
- Bio: Focused on developing intelligent systems that can solve complex problems.

Miscellany