activity
20212023
most citedASGNN: Graph Neural Networks with Adaptive Structure

2 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT2023

Accelerating Quadratic Transform and WMMSE

Kaiming Shen, Ziping Zhao, Yannan Chen +2

Fractional programming (FP) arises in various communications and signal processing problems because several key quantities in the field are fractionally structured, e.g., the Cramé…

eess.SP2023★ 1 cited

Discerning and Enhancing the Weighted Sum-Rate Maximization Algorithms in Communications

Zepeng Zhang, Ziping Zhao, Kaiming Shen +2

Weighted sum-rate (WSR) maximization plays a critical role in communication system design. This paper examines three optimization methods for WSR maximization, which ensure converg…

cs.LG2022★ 2 cited

ASGNN: Graph Neural Networks with Adaptive Structure

Zepeng Zhang, Songtao Lu, Zengfeng Huang +1

The graph neural network (GNN) models have presented impressive achievements in numerous machine learning tasks. However, many existing GNN models are shown to be vulnerable to adv…

cs.LG2022★ 1 cited

Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective

Zepeng Zhang, Ziping Zhao

The graph neural network (GNN) has demonstrated its superior performance in various applications. The working mechanism behind it, however, remains mysterious. GNN models are desig…

eess.SP2021★ 2 cited

Rate Maximizations for Reconfigurable Intelligent Surface-Aided Wireless Networks: A Unified Framework via Block Minorization-Maximization

Zepeng Zhang, Ziping Zhao

The reconfigurable intelligent surface (RIS) has arose an upsurging research interest recently due to its promising outlook in 5G-and-beyond wireless networks. With the assistance…