activity
20232026
most citedTowards Unified AI Models for MU-MIMO Communications: A Tensor Equivariance Framework

13 citations · 13 across the 15 of their papers we have counts for

collaborators
Showing 2026Show all

6 papers · 1 filter

cs.IT2026

Surrogate-Enhanced Fractional Programming for MIMO Device-to-Device Interference Networks

Zihan Jiao, Xinping Yi, Shi Jin +1

Interference management in multi-stream multi-input multi-output (MIMO) device-to-device (D2D) networks often leads to weighted sum-rate maximization with sum-log-determinant invol…

eess.SP2026

Rethinking Fractional Programming for Joint Uplink Scheduling and Power Control in Multicell Wireless Networks

Zihan Jiao, Xinping Yi, Shi Jin +1

This paper investigates the joint uplink scheduling and power control problem in a coordinated multicell wireless network, where at most one single-antenna user is allowed to acces…

cs.LG2026

PAC-Bayesian Adversarially Robust Generalization for Message Passing Graph Neural Networks: A Sensitivity Analysis

Ziling Liang, Xinping Yi, Qingsong Wen +1

Whilst the vulnerability of graph neural networks (GNNs) to adversarial attacks poses a critical threat to graph representation learning, the understanding of the robust generaliza…

eess.SP2026

Foundation Models for Wireless Communications: From PHY Intelligence to Network Autonomy

Le Liang, Jiajia Guo, Jun Zhang +6

6G networks will introduce unprecedented complexity, which calls for a paradigm shift in network optimization and management. Artificial intelligence (AI)-based solutions, especial…

stat.ML2026

Towards A Unified PAC-Bayesian Framework for Norm-based Generalization Bounds

Xinping Yi, Gaojie Jin, Xiaowei Huang +1

Understanding the generalization behavior of deep neural networks remains a fundamental challenge in modern statistical learning theory. Among existing approaches, PAC-Bayesian nor…

eess.SP2026

Learning to Unfold Fractional Programming for Multi-Cell MU-MIMO Beamforming with Graph Neural Networks

Zihan Jiao, Xinping Yi, Shi Jin

In the multi-cell multiuser multi-input multi-output (MU-MIMO) systems, fractional programming (FP) has demonstrated considerable effectiveness in optimizing beamforming vectors, y…