📡 Signal & Communications¶

🧪 ICML2025 · 3 paper notes

Deep Electromagnetic Structure Design Under Limited Evaluation Budgets: Proposes the Progressive Quadtree-based Search (PQS) method, which compresses the high-dimensional design space of electromagnetic structures via a hierarchical quadtree representation and utilizes a consistency-based sample selection mechanism to efficiently search for high-quality designs under a limited simulation budget, saving 75–85% of evaluation costs compared to generative methods.
Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization: By extending each dimension in RoPE from a single frequency to a Fourier series representation and clipping undertrained low-frequency components, this work achieves reliable periodic extension of the attention mechanism, thereby significantly enhancing the length generalization capability of LLMs.
Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: This paper proposes a base station power control algorithm based on LLM In-context Learning (ICL). By leveraging natural language task descriptions and experience-pool-driven exemplar selection, it achieves performance close to traditional deep reinforcement learning without updating model parameters.