5 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…
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…