Scholar

Zheng Chen

Google Scholar ID: GGTJdJAAAAAJ

Associate Professor, Linköping University

Wireless CommunicationsSignal ProcessingDistributed Machine LearningStochastic Geometry

Citations & Impact

All-time

Citations

1,542

H-index

i10-index

Publications

Co-authors

list available

Contact

No contact links provided.

Publications

20 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Academic Achievements

Paper “Optimizing Privacy-Utility Trade-off in Decentralized Learning with Generalized Correlated Noise” accepted at Information Theory Workshop (ITW) 2025
Paper “Faster Convergence with Less Communication: Broadcast-Based Subgraph Sampling for Decentralized Learning over Wireless Networks” published in IEEE Open Journal of the Communications Society (OJ-COMS)
Paper “Robust and Efficient Average Consensus with Non-Coherent Over-the-Air Aggregation” accepted at IEEE ICC 2025
Paper “Delay-Constrained Grant-Free Random Access in MIMO Systems: Distributed Pilot Allocation and Power Control” accepted in IEEE Transactions on Cognitive Communications and Networking
Paper “Temporal Predictive Coding for Gradient Compression in Distributed Learning” accepted at 2024 Allerton Conference
Paper “Distributed Average Consensus in Wireless Multi-Agent Systems with Over-the-Air Aggregation” accepted at IEEE SPAWC 2024
Paper “Dynamic Queue-Aware RF Charging of Zero-Energy Devices via Reconfigurable Surfaces” accepted in IEEE Wireless Communications Letters
Paper “Energy-Efficient Federated Edge Learning with Streaming Data: A Lyapunov Optimization Approach” accepted in IEEE Transactions on Communications
Serving as Technical Program Committee co-chair of SAC: Machine Learning for Communications at IEEE ICC 2026

Background

Associate Professor in the Division of Communication Systems, Department of Electrical Engineering, Linköping University, Sweden
Research interests focus on a 'stochastic' perspective in wireless communication networks
Main research topics include: stochastic geometry and its applications in performance analysis of wireless systems (e.g., wireless edge caching, energy harvesting, device-to-device, cognitive radio)
Stochastic network optimization for cross-layer resource allocation (primarily in massive MIMO systems)
Age of information (AoI) and timely communication
Current research focuses on distributed information processing and machine learning over wireless networks, including: federated learning at the wireless edge, over-the-air computation for wireless data aggregation, communication-efficient distributed consensus and optimization, and information dissemination in large random networks

Co-authors

20 total