9 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.AI2026
DNative-Twin: Decision Graphs and Digital Twins for Reconstructable Agentic Decisions
Junjie Pang, Zhenzhen Xie, Haoke Han +3
AI agents increasingly gather evidence, invoke tools, apply constraints, and produce decisions that people or software may commit to action. A final output alone cannot show which…
cs.NI2024★ 1 cited
HyperFedNet: Communication-Efficient Personalized Federated Learning Via Hypernetwork
Xingyun Chen, Yan Huang, Zhenzhen Xie +1
In response to the challenges posed by non-independent and identically distributed (non-IID) data and the escalating threat of privacy attacks in Federated Learning (FL), we introd…
cs.LG2020★ 9 cited
Collaborative City Digital Twin For Covid-19 Pandemic: A Federated Learning Solution
Junjie Pang, Jianbo Li, Zhenzhen Xie +2
In this work, we propose a collaborative city digital twin based on FL, a novel paradigm that allowing multiple city DT to share the local strategy and status in a timely manner. I…