Zhengyang Lu

Biographic Data

ID6941221
NAMEZhengyang Lu
GIVEN NAMESZhengyang
FAMILY NAMELu
SIGNATURELU Z
AFFILIATIONSJiangnan University
ORCID0000-0002-1540-0678
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2026
H-INDEX0

  • Public Sentiment Towards Interactive Art on Multi-Modal Social Media

    Open AccessShunfeng Zhang, Jiaxuan Gong et al.ARTICLESAGE Open2026

    This study presents a novel multi-modal approach analyzing public sentiment towards interactive art across Jiangsu Province using social media data. By integrating computer vision and NLP techniques (fine-tuned Qwen-VL for image captioning and prompt-based LLMs for sentiment analysis), we capture nuanced digital representations of artworks and public reactions. Findings reveal complex spatial patterns challenging traditional urban-rural dichotomi…

  • Decoding urban policies

    Open AccessZhengyang Lu, Weifan Wang et al.ARTICLEEnvironment and Planning B Urban…2026

    This study introduces a novel NLP-driven approach for generating accurate explanations of urban policies, addressing the critical need for communication between policymakers and the public. The proposed method integrates policy-specific fine-tuning of large language models, retrieval-augmented generation, and policy-aware prompt engineering. For the policy research, we collect the Zhihu Official Policy Q&A Dataset, a comprehensive collection of 2…

  • Association of frailty and its trajectory with the risk of cancer

    Open AccessQian Gao, Pengfei Li et al.ARTICLEBMC Public Health2025

    Frailty is associated with cancer risk. Medium and high levels of the frailty index are significantly associated with an increased risk of cancer incidence. In addition, more attention should be paid to the risk of cancer in people aged ≥ 60 years and in women with high levels of frailty

  • Engaging the Next Generation

    Open AccessJiaxuan Gong, Wen Zhong et al.ARTICLEHeritage2025References: 4

    Cultural heritage institutions face a critical challenge in engaging Generation Z, a demographic of digital natives with high expectations for interactive and immersive experiences. While Virtual Reality (VR) offers a promising solution, many implementations are dismissed as superficial “gimmicks,” lacking a theoretical foundation for effective design. To bridge this gap, we develop and validate an extended Technology Acceptance Model (TAM) to ex…