Author

Wei Ni

Observed name: Ni, Wei

Institutions: Edith Cowan University, Commonwealth Scientific and Industrial Research Organisation, Aston University, UNSW Sydney, Data61

Observed institutions: Edith Cowan University, Commonwealth Scientific and Industrial Research Organisation, Aston University, UNSW Sydney, Data61

ORCID: 0000-0002-4933-594X

Observed ORCIDs: 0000-0002-4933-594X, 0000-0003-0780-4637

OpenAlex ID: A5136313696

Agentic Graph Neural Networks for Wireless Communications and Networking Toward Edge General Intelligence: A Survey

2026 · Yang Lu, Shengli Zhang, et al. · IEEE Communications Surveys & Tutorials · 28

Fed4Fed: A Privacy-Preserving Federated Statistical Approach for Evaluating Federated Learning Models

2026 · Zhongchi Wang, Hailong Sun, et al. · IEEE Transactions on Dependable and Secure Computing · 6

Beyond Spatial Privacy: Protecting Trajectories With Spatio-Temporal Differential Privacy

2026 · Suirui Zhu, Xin Yuan, et al. · IEEE Transactions on Knowledge and Data Engineering · 2

Federated Agentic AI for Wireless Networks: Fundamentals, Approaches, and Applications

2026 · Cai, Lingyi, Zhang, Yu, et al. · arXiv (Cornell University) · 2

Hierarchical Federated Foundation Models over Wireless Networks for Multi-Modal Multi-Task Intelligence: Integration of Edge Learning with D2D/P2P-Enabled Fog Learning Architectures

2026 · Payam Abdisarabshali, Fardis Nadimi, et al. · IEEE Communications Magazine · 2

Exploring Visual Explanations for Defending Federated Learning against Poisoning Attacks: Enhancing LayerCAM with Autoencoders

2026 · Jingjing Zheng, Xin Yuan, et al. · ACM Transactions on Privacy and Security · 1

Structured Agentic Learning for Persistent Spatial Acquisition in RDT-TAIS-Assisted Communications

2026 · Liu, Bin, Ni, Wei, et al. · arXiv (Cornell University)

Byzantine-Resilient Federated Large Language Model via Hypergraph Message Passing

2026 · Li, Kai, Cai, Hanlin, et al. · arXiv (Cornell University)

Adaptive Power Sampling for LLM Reasoning

2026 · Xiao, Bingnan, Yang, Chenhao, et al. · arXiv (Cornell University)

FedVSSAM: Mitigating Flatness Incompatibility in Sharpness-Aware Federated Learning

2026 · Xiao, Bingnan, Gao, Yuan, et al. · arXiv (Cornell University)

C2P-M: Critical Connection Protection in Multiplex Graphs

2026 · Conggai Li, Wei Ni, et al. · IEEE Transactions on Knowledge and Data Engineering

Resilience and Security of Graph-Based Federated Learning

2026 · Kai Li, Xin Yuan, et al. · Springer series in reliability engineering

Integrating Graph Neural Networks with Federated Learning

2026 · Kai Li, Xin Yuan, et al. · Springer series in reliability engineering

Threat Landscape in Federated Learning

2026 · Kai Li, Xin Yuan, et al. · Springer series in reliability engineering

Summary and Outlook

2026 · Kai Li, Xin Yuan, et al. · Springer series in reliability engineering

Biasing Federated Learning Based on Adversarial Graph Attention Networks

2026 · Kai Li, Xin Yuan, et al. · Springer series in reliability engineering

Privacy-Utility Trade-Off in Federated Learning

2026 · Kai Li, Xin Yuan, et al. · Springer series in reliability engineering

Data-Agnostic MP Techniques

2026 · Kai Li, Xin Yuan, et al. · Springer series in reliability engineering

Introduction to Federated Learning

2026 · Kai Li, Xin Yuan, et al. · Springer series in reliability engineering

Towards Fully Explainable Federated Learning

2026 · Kai Li, Xin Yuan, et al. · Springer series in reliability engineering

Security and Resilience in Distributed Machine Learning

2026 · Kai Li, Xin Yuan, et al. · Springer series in reliability engineering

Privacy-Aware Wireless Federated Learning

2026 · Kai Li, Xin Yuan, et al. · Springer series in reliability engineering

Model Poisoning via Variational Graph Representations

2026 · Kai Li, Xin Yuan, et al. · Springer series in reliability engineering

Sustainability in Federated Learning

2026 · Kai Li, Xin Yuan, et al. · Springer series in reliability engineering

Works count: 24

Citation count: 41

H-index: 2

I10-index: 1