3 citations · 3 across the 3 of their papers we have counts for
7 papers
Metric Aggregation Divergence: A Hidden Validity Threat in Agent-Based Policy Optimization and a Contractual Remedy
Ruiyu Zhang, Lin Nie, Xin Zhao
Metric aggregation divergence (MAD) is the silent inconsistency that arises when distinct pipeline stages in an agent-based model coupled with a multi-objective evolutionary algori…
HEAS: Hierarchical Evolutionary Agent-Based Simulation Framework for Multi-Objective Policy Search
Ruiyu Zhang, Lin Nie, Xin Zhao
HEAS is a Python framework that connects agent-based simulation, evolutionary search, and scenario-based evaluation in a single reproducible pipeline. It is designed for researcher…
Enhancing Citizen-Government Communication with AI: Evaluating the Impact of AI-Assisted Interactions on Communication Quality and Satisfaction
Ruiyu Zhang, Lin Nie
This study integrates critical AI scholarship with relational communication theories to explain how AI language modifications shape the quality of government-citizen communication.…
PEARL: Prototype-Enhanced Alignment for Label-Efficient Representation Learning with Deployment-Driven Insights from Digital Governance Communication Systems
Ruiyu Zhang, Lin Nie, Wai-Fung Lam +2
In many deployed systems, new text inputs are handled by retrieving similar past cases, for example when routing and responding to citizen messages in digital governance platforms.…
Structural Equation-VAE: Disentangled Latent Representations for Tabular Data
Ruiyu Zhang, Ce Zhao, Xin Zhao +2
Learning interpretable latent representations from tabular data remains a challenge in deep generative modeling. We introduce SE-VAE (Structural Equation-Variational Autoencoder),…
Eco-efficiency as a Catalyst for Citizen Co-production: Evidence from Chinese Cities
Ruiyu Zhang, Lin Nie, Ce Zhao +1
We examine whether higher eco-efficiency encourages local governments to co-produce environmental solutions with citizens. Using Chinese provincial data and advanced textual analys…