activity
20242026
most citedGenerative AI Enabled Robust Data Augmentation for Wireless Sensing in ISAC Networks

2 citations · 4 across the 16 of their papers we have counts for

collaborators

32 papers

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…

cs.AI2026

From Digital Twins to World Models:Opportunities, Challenges, and Applications for Mobile Edge General Intelligence

Jie Zheng, Dusit Niyato, Changyuan Zhao +2

The rapid evolution toward 6G and beyond communication systems is accelerating the convergence of digital twins and world models at the network edge. Traditional digital twins prov…

cs.CV2026

Leveraging Large Vision Model for Multi-UAV Co-perception in Low-Altitude Wireless Networks

Yunting Xu, Jiacheng Wang, Ruichen Zhang +6

Multi-uncrewed aerial vehicle (UAV) cooperative perception has emerged as a promising paradigm for diverse low-altitude economy applications, where complementary multi-view observa…

cs.DC2026

Knowledge-driven Reasoning for Mobile Agentic AI: Concepts, Approaches, and Directions

Guangyuan Liu, Changyuan Zhao, Yinqiu Liu +2

Mobile agentic AI is extending autonomous capabilities to resource-constrained platforms such as edge robots and unmanned aerial vehicles (UAVs), where strict size, weight, power,…

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…