3 citations · 6 across the 10 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…
Power Allocation for Compute-and-Forward over Fading Channels
Lanwei Zhang, Jamie Evans, Jingge Zhu
Compute-and-forward (CF) is a relaying strategy which allows the relay to decode a linear combination of the transmitted messages. This work studies the optimal power allocation pr…
Compute-Forward Multiple Access for Gaussian MIMO Channels
Lanwei Zhang, Jamie Evans, Jingge Zhu
Compute-forward multiple access (CFMA) is a multiple access transmission scheme based on Compute-and-Forward (CF) which allows the receiver to first decode linear combinations of t…
GNN-Based Joint Channel and Power Allocation in Heterogeneous Wireless Networks
Lili Chen, Jingge Zhu, Jamie Evans
The optimal allocation of channels and power resources plays a crucial role in ensuring minimal interference, maximal data rates, and efficient energy utilisation. As a successful…
Compute-Forward Multiple Access for Gaussian Fast Fading Channels
Lanwei Zhang, Jamie Evans, Jingge Zhu
Compute-forward multiple access (CFMA) is a transmission strategy which allows the receiver in a multiple access channel (MAC) to first decode linear combinations of the transmitte…
Simultaneous Computation and Communication over MAC
Matthias Frey, Igor Bjelaković, Michael C. Gastpar +1
We study communication over a Gaussian multiple-access channel (MAC) with two types of transmitters: Digital transmitters hold a message from a discrete set that needs to be commun…