activity
20242026
most citedLarge Language Model Enabled Multi-Task Physical Layer Network

3 citations · 6 across the 6 of their papers we have counts for

collaborators

7 papers

eess.SP2026

Near-Field Communications with Grating Lobes for Quasi-Distributed Arrays: From ULA to MRA

Mingyuan Zhou, Zhuo Xu, Linglong Dai

Extremely large-scale antenna array (ELAA) has emerged as a common feature of many key candidate technologies for 6G, where the near-field characteristics become dominant. The quas…

cs.IT2026

FM-Receiver: A Foundation Model Enabled Unified Inner and Outer Neural Receiver Towards AI-Native Wireless Communications

Tianyue Zheng, Chao Jiang, Linglong Dai

With the development of artificial intelligence (AI) techniques, neural receivers, which apply AI to improve wireless receivers have been developed. However, most existing neural r…

cs.IT2025

MUSE-FM: Multi-task Environment-aware Foundation Model for Wireless Communications

Tianyue Zheng, Jiajia Guo, Linglong Dai +2

Recent advancements in foundation models (FMs) have attracted increasing attention in the wireless communication domain. Leveraging the powerful multi-task learning capability, FMs…

eess.SP2025

Empowering Near-Field Communications in Low-Altitude Economy with LLM: Fundamentals, Potentials, Solutions, and Future Directions

Zhuo Xu, Tianyue Zheng, Linglong Dai

The low-altitude economy (LAE) is gaining significant attention from academia and industry. Fortunately, LAE naturally aligns with near-field communications in extremely large-scal…

cs.IT2024★ 3 cited

Large Language Model Enabled Multi-Task Physical Layer Network

Tianyue Zheng, Linglong Dai

The advance of Artificial Intelligence (AI) is continuously reshaping the future 6G wireless communications. Particularly, the development of Large Language Models (LLMs) offers a…

eess.SP2024

AI and Deep Learning for Terahertz Ultra-Massive MIMO: From Model-Driven Approaches to Foundation Models

Wentao Yu, Hengtao He, Shenghui Song +4

This study explored the transformative potential of artificial intelligence (AI) in addressing the challenges posed by terahertz ultra-massive multiple-input multiple-output (UM-MI…

eess.SP2024★ 3 cited

Advancing Ubiquitous Wireless Connectivity through Channel Twinning

Yashuai Cao, Linglong Dai, Jingbo Tan +5

As an emerging trend in channel acquisition (CA), the concept of channel twinning (CT) has been proposed as a powerful enabler of ubiquitous connectivity in next-generation (xG) wi…