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20242026
most citedMixture of Experts for Decentralized Generative AI and Reinforcement Learning in Wireless Networks: A Comprehensive Survey

7 citations · 17 across the 34 of their papers we have counts for

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9 papers · 1 filter

eess.SP2026

Rethinking Wireless Communications through Formal Mathematical AI Reasoning

Changyuan Zhao, Jiacheng Wang, Dusit Niyato +5

Mathematical analysis has long underpinned wireless communication theory, yet the growing complexity of next-generation systems demands increasingly sophisticated reasoning from do…

eess.SP2026

Intelligent Forensics in Next-Generation Mobile Networks: Evidence, Methods, and Applications

Jiacheng Wang, Weihong Qin, Jialing He +3

This survey examines intelligent forensics in next-generation mobile networks, arguing that future wireless security must move beyond real-time detection toward accountable post-in…

eess.SP2026

Wireless Context Engineering for Efficient Mobile Agentic AI and Edge General Intelligence

Changyuan Zhao, Jiacheng Wang, Yunting Xu +5

Future wireless networks demand increasingly powerful intelligence to support sensing, communication, and autonomous decision-making. While scaling laws suggest improving performan…

eess.SP2025★ 1 cited

Stackelberg Game-Driven Defense for ISAC Against Channel Attacks in Low-Altitude Networks

Jiacheng Wang, Changyuan Zhao, Dusit Niyato +4

The increasing saturation of terrestrial resources has driven economic activities into low-altitude airspace. These activities, such as air taxis, rely on low-altitude wireless net…

eess.SP2025

Feature Engineering for Wireless Communications and Networking: Concepts, Methodologies, and Applications

Jiacheng Wang, Changyuan Zhao, Zehui Xiong +5

AI-enabled wireless communications have attracted tremendous research interest in recent years, particularly with the rise of novel paradigms such as low-altitude integrated sensin…

eess.SP2025

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning

Changyuan Zhao, Ruichen Zhang, Jiacheng Wang +6

This paper introduces a two-stage generative AI (GenAI) framework tailored for temporal spectrum cartography in low-altitude economy networks (LAENets). LAENets, characterized by d…

eess.SP2025★ 2 cited

Generative AI Enabled Robust Data Augmentation for Wireless Sensing in ISAC Networks

Jiacheng Wang, Changyuan Zhao, Hongyang Du +5

Integrated sensing and communication (ISAC) uses the same software and hardware resources to achieve both communication and sensing functionalities. Thus, it stands as one of the c…

eess.SP2025

Generative AI-enabled Wireless Communications for Robust Low-Altitude Economy Networking

Changyuan Zhao, Jiacheng Wang, Ruichen Zhang +5

Low-Altitude Economy Networks (LAENets) have emerged as significant enablers of social activities, offering low-altitude services such as the transportation of packages, groceries,…

eess.SP2024

Maximum-Likelihood Estimation Based on Diffusion Model For Wireless Communications

Changyuan Zhao, Jiacheng Wang, Ruichen Zhang +3

Generative Artificial Intelligence (GenAI) models, with their powerful feature learning capabilities, have been applied in many fields. In mobile wireless communications, GenAI can…