3 citations · 4 across the 8 of their papers we have counts for
11 papers
Maximal quantum leakage: operational interpretation and quantum channel analysis
Shuixin Xiao, Zijia Zhao, Jingge Zhu +1
Maximal quantum leakage quantifies privacy against adversaries with arbitrary intentions. In this work, we prove that computing this leakage is equivalent to minimum-error quantum…
A PAC-Bayesian Analysis of Channel-Induced Degradation in Edge Inference
Yangshuo He, Guanding Yu, Jingge Zhu
In the emerging paradigm of edge learning, neural networks (NNs) are partitioned across distributed edge devices that collaboratively perform inference via wireless transmission. H…
Semi-Supervised Learning under General Causal Models
Archer Moore, Heejung Shim, Jingge Zhu +1
Semi-supervised learning (SSL) aims to train a machine learning model using both labelled and unlabelled data. While the unlabelled data have been used in various ways to improve t…
Graph Neural Networks for Resource Allocation in Interference-limited Multi-Channel Wireless Networks with QoS Constraints
Lili Chen, Changyang She, Jingge Zhu +1
Meeting minimum data rate constraints is a significant challenge in wireless communication systems, particularly as network complexity grows. Traditional deep learning approaches o…
A DPI-PAC-Bayesian Framework for Generalization Bounds
Muhan Guan, Farhad Farokhi, Jingge Zhu
We develop a unified Data Processing Inequality PAC-Bayesian framework -- abbreviated DPI-PAC-Bayesian -- for deriving generalization error bounds in the supervised learning settin…
Graph Neural Networks for Resource Allocation in Multi-Channel Wireless Networks
Lili Chen, Changyang She, Jingge Zhu +1
As the number of mobile devices continues to grow, interference has become a major bottleneck in improving data rates in wireless networks. Efficient joint channel and power alloca…