Signal Processing

Papers

• Finsler Geometry, Graph Neural Networks, and You (2026)
  T. Mitchell Roddenberry et al.
  4.39
• Deep Learning-Based Channel Extrapolation for Dual-Band Massive MIMO Systems (2026)
  Qikai Xiao et al.
  2.00
• Generative Profiling for Soft Real-Time Systems and its Applications to Resource Allocation (2026)
  Georgiy A. Bondar et al.
  1.89
• Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks (2026)
  Xingran Chen et al.
  1.72
• Single-Snapshot Gridless 2D-DoA Estimation for UCAs: A Joint Optimization Approach (2025)
  Salar Nouri
  1.56
• SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning (2025)
  Senura Hansaja Wanasekara et al.
  1.50
• Multi-Fidelity Hybrid Reinforcement Learning via Information Gain Maximization (2025)
  Houssem Sifaou and Osvaldo Simeone
  1.50
• A Heuristic-Integrated DRL Approach for Phase Optimization in Large-Scale RISs (2025)
  Wei Wang et al.
  1.28
• Goal-oriented Transmission Scheduling: Structure-guided DRL with a Unified Dual On-policy and Off-policy Approach (2025)
  Jiazheng Chen and Wanchun Liu
  1.06
• Gradient Coding with Clustering and Multi-message Communication (2019)
  Emre Ozfatura and Deniz Gunduz and Sennur Ulukus
  —
• LAGC: Lazily Aggregated Gradient Coding for Straggler-Tolerant and Communication-Efficient Distributed Learning (2019)
  Jingjing Zhang and Osvaldo Simeone
  —
• Energy-Efficient Processing and Robust Wireless Cooperative Transmission for Edge Inference (2019)
  Kai Yang et al.
  —
• Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning (2019)
  Xiang Ni et al.
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• Gradient Coding with Dynamic Clustering for Straggler Mitigation (2020)
  Baturalp Buyukates and Emre Ozfatura and Sennur Ulukus and Deniz Gunduz
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• Adaptive Contention Window Design using Deep Q-learning (2020)
  Abhishek Kumar et al.
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• Synthesizing Decentralized Controllers with Graph Neural Networks and Imitation Learning (2020)
  Fernando Gama et al.
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• Task-Oriented Communication for Multi-Device Cooperative Edge Inference (2021)
  Jiawei Shao et al.
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• Robust Graph Neural Networks via Probabilistic Lipschitz Constraints (2021)
  Raghu Arghal et al.
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• Communication-Efficient Distributionally Robust Decentralized Learning (2022)
  Matteo Zecchin et al.
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• Tackling Distribution Shifts in Task-Oriented Communication with Information Bottleneck (2024)
  Hongru Li et al.
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• LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models (2024)
  Shouchang Guo et al.
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• Data Similarity-Based One-Shot Clustering for Multi-Task Hierarchical Federated Learning (2024)
  Abdulmoneam Ali et al.
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