7 citations · 12 across the 8 of their papers we have counts for
8 papers
Membership is Ownership: A Robust Ownership Verification Framework for Diffusion Models
Feng Jiang, Zuobin Xiong, An Huang +2
Large-scale diffusion models have fueled numerous profitable downstream applications for AI-related businesses, including visual editing and content creation. Meanwhile, due to the…
FM-RME: Foundation Model Empowered Radio Map Estimation
Dong Yang, Yue Wang, Songyang Zhang +3
Traditional radio map estimation (RME) techniques fail to capture multi-dimensional and dynamic characteristics of complex spectrum environments. Recent data-driven methods achieve…
Efficient Multi-Worker Selection based Distributed Swarm Learning via Analog Aggregation
Zhuoyu Yao, Yue Wang, Songyang Zhang +3
Recent advances in distributed learning systems have introduced effective solutions for implementing collaborative artificial intelligence techniques in wireless communication netw…
Multi-Worker Selection based Distributed Swarm Learning for Edge IoT with Non-i.i.d. Data
Zhuoyu Yao, Yue Wang, Songyang Zhang +3
Recent advances in distributed swarm learning (DSL) offer a promising paradigm for edge Internet of Things. Such advancements enhance data privacy, communication efficiency, energy…
Physics-Inspired Distributed Radio Map Estimation
Dong Yang, Yue Wang, Songyang Zhang +2
To gain panoramic awareness of spectrum coverage in complex wireless environments, data-driven learning approaches have recently been introduced for radio map estimation (RME). Whi…
Quantum Cognition-Inspired EEG-based Recommendation via Graph Neural Networks
Jinkun Han, Wei Li, Yingshu Li +1
Current recommendation systems recommend goods by considering users' historical behaviors, social relations, ratings, and other multi-modals. Although outdated user information pre…
Multi-Aggregator Time-Warping Heterogeneous Graph Neural Network for Personalized Micro-Video Recommendation
Jinkun Han, Wei Li, Zhipeng Cai +1
Micro-video recommendation is attracting global attention and becoming a popular daily service for people of all ages. Recently, Graph Neural Networks-based micro-video recommendat…
Security Risks Concerns of Generative AI in the IoT
Honghui Xu, Yingshu Li, Olusesi Balogun +3
In an era where the Internet of Things (IoT) intersects increasingly with generative Artificial Intelligence (AI), this article scrutinizes the emergent security risks inherent in…