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publications
Published in Preprint, 2024
We evaluated how well static embeddings and contextual models capture enduring meanings and subtle semantic shifts in political text over time.
Citation as: Ruiyu ZHANG, Lin Nie, Ce Zhao, and Qingyang Chen. (2024). "Achieving Semantic Consistency: Contextualized Word Representations for Political Text Analysis." Preprint. arXiv:2412.04505. https://arxiv.org/abs/2412.04505
Published in The China Quarterly, 2024
Our study explores how the double-hundred action programme is reshaping recruitment, performance evaluation, and remuneration practices in China state-owned enterprises.
Citation as: Ruiyu ZHANG and Chengpang Lee. (2024). "From Cadres to Managers: The Double-hundred Action Programme and China's State-owned Enterprise Reform." The China Quarterly. https://doi.org/10.1017/S0305741024000481. https://doi.org/10.1017/S0305741024000481
Published in Preprint, 2025
We explored the relationship between eco-efficiency and local governments engagement in collaborative environmental governance with citizens.
Citation as: Ruiyu ZHANG, Lin Nie, Ce Zhao, and Xin Zhao. (2025). "Eco-efficiency as a Catalyst for Citizen Co-production: Evidence from Chinese Cities." Preprint. arXiv:2504.13290. https://arxiv.org/abs/2504.13290
Published in Preprint, 2025
We developed HEAS as a framework to combine layered agent-based modeling with evolutionary optimization.
Citation as: Ruiyu ZHANG, Lin Nie, and Xin Zhao. (2025). "HEAS: Hierarchical Evolutionary Agent Simulation Framework for Cross-Scale Modeling and Multi-Objective Search." Preprint. arXiv:2508.15555. https://arxiv.org/abs/2508.15555
Published in Preprint, 2025
We designed SE-VAE to embed measurement structure directly into a variational autoencoder, separating construct-specific signals from global nuisance variation.
Citation as: Ruiyu ZHANG, Ce Zhao, Xin Zhao, Lin Nie, and Wai-Fung Lam. (2025). "Structural Equation-VAE: Disentangled Latent Representations for Tabular Data." Preprint. arXiv:2508.06347. https://arxiv.org/abs/2508.06347
Published in Corporate Social Responsibility and Environmental Management, 2025
Our study examines what drives small and medium-sized enterprises to adopt sustainability practices, and how social networks shape these dynamics.
Citation as: Ruiyu ZHANG, Lin Nie, and Wai-Fung Lam. (2025). "Sustainability of Small and Medium-Sized Enterprises in Hong Kong: Drivers and the Moderating Role of Social Network." Corporate Social Responsibility and Environmental Management. https://doi.org/10.1002/csr.3207. https://doi.org/10.1002/csr.3207
Published in Information Polity, 2026
Our study integrates critical AI scholarship with relational communication theories to explain how AI language modifications shape the quality of government-citizen communication.
Citation as: Ruiyu ZHANG and Lin Nie. (2026). "Enhancing Communication Quality between Government and Citizens: The Role of AI Modification." Information Polity. https://doi.org/10.1177/15701255261427986. https://doi.org/10.1177/15701255261427986
Published in Frontiers in Sociology, 2026
This study examines how state gender discourse in China has evolved over the past three decades, tracing shifts in how official narratives construct womens roles in the public and private spheres.
Citation as: Jia Wang and Ruiyu ZHANG. (2026). "Increasingly Separate Spheres? The Changing State Gender Discourse in China from 1990–2023." Frontiers in Sociology, 11, 1777050. https://doi.org/10.3389/fsoc.2026.1777050. https://doi.org/10.3389/fsoc.2026.1777050
Published in Preprint, 2026
We propose PEARL, a label-efficient method that softly aligns embeddings toward class prototypes to improve local neighborhood structure without changing dimensionality or requiring heavy retraining.
Citation as: Ruiyu ZHANG, Lin Nie, Wai-Fung Lam, Qihao Wang, and Xin Zhao. (2026). "PEARL: Prototype-Enhanced Alignment for Label-Efficient Representation Learning with Deployment-Driven Insights from Digital Governance Communication Systems." Preprint. arXiv:2601.17495. https://arxiv.org/abs/2601.17495
Published in arXiv preprint, 2026
A Python package for Silverman-style critical bandwidth detection and multimodality assessment based on Gaussian kernel density estimation.
Citation as: Ruiyu ZHANG and Qihao Wang. (2026). "critband: A Python Package for Critical Bandwidth Analysis of Multimodal Distributions." arXiv preprint arXiv:2605.18686. https://arxiv.org/abs/2605.18686
talks
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teaching
Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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