个人简历 / Curriculum Vitae

洪煜 (Yu Hong, Ph.D.) · 副研究员 / Associate Research Fellow

Note基本信息
  • 姓名：洪煜 (Yu Hong) | 出生年月：1984.11 | 籍贯：福建·漳州
  • 现职：副研究员 | 中央财经大学高等教育研究所
  • 兼职：中国教育学会教育经济学分会 理事 | 教育统计信息化与数据科学专家
  • 联系电话：158-0164-2028（同微信）
  • 学术邮箱：hongyuatcufe@gmail.com
  • 代码仓库：https://github.com/hongyuatcufe

一、 教育背景

  • 2010.09 — 2014.01
    北京师范大学 | 高等教育研究所 | 高等教育学 博士 (Ph.D.)
  • 2013.05 — 2013.09
    丹麦奥尔堡大学 (Aalborg University) | 联合国教科文组织 PBL 中心 | 访问学者 (Visiting Scholar)
    研习基于问题的学习（Problem-Based Learning, PBL）教学法与工程教育改革
  • 2007.09 — 2010.06
    北京师范大学 | 教育经济与管理研究所 | 教育经济与管理 硕士 (M.Ed.)
  • 2003.09 — 2007.06
    北京师范大学 | 教育学院 | 教育管理学 学士 (B.Ed.)

二、 工作经历与社会兼职

  • 2014.07 — 至今 | 中央财经大学 高等教育研究所
    副研究员：统筹学校教育事业发展规划编制、实施与评估（参与“十三五”、“十四五”规划）；主持学校章程制定与周期性修订；统筹学校综合改革方案推进；围绕高水平大学治理开展政策咨询。
  • 2018.05 — 至今 | 国家级教育科研与发展机构 | 教育统计信息化特聘专家
    参与教育现代化监测、全国中小学生学业负担问卷编制与数据建模；研发教育事业统计数据库（离线版）及可视化分析平台；承担全国教育统计数据汇总专题分析及统计人员调查工作。
  • 2025.05 — 至今 | 中国教育学会教育经济学分会 | 理事
  • 2023.10 — 至今 | 《北京社会科学》（CSSCI核心期刊） | 特约审稿人

三、 科研课题与决策咨询项目

  1. 基础教育规范管理应知应会试题库、政策解答问答库建设 (2026.05 — 2026.09)
    主持人 | 委托课题 | 受中国教育学会委托，运用大模型与 NLP 技术编制应知应会试题库（400道）及问答库（2000余道），成果通过专家学术评审验收。
  2. 教育事业统计调查制度在线培训模拟练习题库建设 (2026.01 — 2026.10)
    主持人 | 委托课题 | 运用 AI 提取统计制度知识点，构建 6,800 道模拟练习题库及专家在线审核平台。
  3. 2026 年全国教育统计人员问卷调查 (2026.05 — 2026.08)
    核心参与人（前3） | 担任数据统计分析专家，完成宏观调研定量分析报告。
  4. 有效缓解教育焦虑课题研究 (2025.06 — 2025.09)
    核心参与人（前3） | 作为总报告撰写团队核心成员完成国家级重大教育宏观战略咨询报告。
  5. 基础教育综合改革战略问题研究 (2024.11 — 2025.11)
    核心参与人（前3） | 针对基础教育战略性前沿问题开展量化评估，成果作为咨询建议采纳。
  6. 2025 年教育事业统计数据汇总与专题分析 (2025.10 — 2025.11)
    主要参与人 | 分析学龄人口变动对教育资源布局的深远影响，完成定量测算报告。
  7. 高校协同创新对其学术产出影响机制的实证研究 (2016.07 — 2021.07)
    主持人 | 全国教育科学规划青年专项课题 (EIA160449) | 鉴定等级：良好 | 成果被相关教育科研与评估部门采纳。
  8. 《新中国教育投入史》——“新中国教育大事记”编撰 (2023 — 至今)
    核心参与人 | 运用 Embedding 向量技术与 ReAct 智能体实现数万件历史档案精准检索、内容质检与批量总结。

四、 学术论著与发表

  • 专著：洪煜. 《中国普通高校学术资源配置现状与内在机制的实证研究》[M]. 北京：经济科学出版社, 2022.
  • SSCI：Bai, H., Li, M., & Hong, Y.* (2024). Grandparental childcare and maternal labor supply in Chinese families with young children. International Sociology, 39(4), 486–509. (SSCI Q2)
  • CSSCI / 中文代表作：在《教育研究》《清华大学教育研究》《中国高教研究》《江苏高教》等知名学术期刊发表论文十余篇。

五、 技能与研究方法

  • 数据分析：Python、R、Stata、SPSS、Tableau
  • 研究方法：大语言模型应用开发 (Vibe Coding)、Embedding/RAG 检索、社会网络分析 (SNA)、文献计量学
NoteContact & Personal Details
  • Name: Yu Hong, Ph.D. (洪煜) | Gender: Male
  • Current Position: Associate Research Fellow, Institute of Higher Education, Central University of Finance and Economics (CUFE)
  • Affiliations:
    • Council Member, Educational Economics Branch, The Chinese Society of Education
    • Senior Specialist in Educational Statistics & Data Science
  • Email: hongyuatcufe@gmail.com
  • GitHub: https://github.com/hongyuatcufe
  • Address: Beijing, P.R. China

1. Education

  • 2010.09 — 2014.01
    Beijing Normal University (BNU), Beijing, China
    Ph.D. in Higher Education, Institute of Higher Education
  • 2013.05 — 2013.09
    Aalborg University, Aalborg, Denmark
    Visiting Scholar, UNESCO Centre for Problem-Based Learning in Engineering Science and Sustainability
  • 2007.09 — 2010.06
    Beijing Normal University (BNU), Beijing, China
    M.Ed. in Educational Economics and Administration, School of Education
  • 2003.09 — 2007.06
    Beijing Normal University (BNU), Beijing, China
    B.Ed. in Educational Management, School of Education

2. Professional Appointments

  • 2014.07 — Present | Central University of Finance and Economics (CUFE)
    Associate Research Fellow, Institute of Higher Education
    • Leading the drafting, implementation, and evaluation of institutional strategic development plans;
    • Presiding over the drafting and systematic revision of the University Charter;
    • Coordinating comprehensive institutional reforms and conducting educational policy research for senior administration.
  • 2018.05 — Present | National Educational Research & Development Institutes
    Senior Specialist in Educational Statistics & Data Science (Consulting appointment)
    • Designing large-scale surveys on educational modernization and student academic workload;
    • Developing offline educational statistical databases and interactive visualization analytics platforms;
    • Leading quantitative analytics for annual census and statistics personnel surveys.
  • 2025.05 — Present | The Chinese Society of Education (Educational Economics Branch)
    Council Member
  • 2023.10 — Present | Beijing Social Sciences (CSSCI Indexed Journal)
    Peer Reviewer

3. Selected Research Projects

  1. Standardized Management Question Bank and Policy Q&A Database for Basic Education (2026.05 — 2026.09)
    Principal Investigator (PI) | Commissioned by The Chinese Society of Education. Utilizing LLMs and NLP to synthesize 400 competency test questions and 2,000+ policy Q&As.
  2. Interactive Simulation Practice Bank and Online Review Platform for Educational Statistics (2026.01 — 2026.10)
    Principal Investigator (PI) | Built an AI knowledge extraction workflow and expert review portal for 6,800 practice items.
  3. National Survey of Educational Statistics Professionals 2026 (2026.05 — 2026.08)
    Core Investigator (Top 3) | Statistical lead responsible for econometric modeling and national survey report.
  4. Alleviating Educational Anxiety in China: Strategic Policies and Interventions (2025.06 — 2025.09)
    Core Investigator (Top 3) | Core contributor to the national macro-educational advisory research report.
  5. Strategic Issues in Comprehensive Reform of Basic Education (2024.11 — 2025.11)
    Core Investigator (Top 3) | Lead policy researcher delivering strategic consultation recommendations.
  6. Empirical Study on the Impact Mechanisms of University Collaborative Innovation on Academic Output (2016.07 — 2021.07)
    Principal Investigator (PI) | National Educational Science Planning Youth Project (Grant No. EIA160449). Successfully concluded with “Good” evaluation.
  7. History of Educational Investment in New China: Chronicle of Educational Events (2023 — Present)
    Core Investigator | Applied vector embedding models and local AI pipelines for historical policy archive extraction and ReAct audit.

4. Selected Publications

Monograph

  • Hong, Y. (2022). Empirical Research on the Status Quo and Internal Mechanism of Academic Resource Allocation in Chinese Regular Universities (中国普通高校学术资源配置现状与内在机制的实证研究). Beijing: Economic Science Press.

SSCI Journal Articles

  • Bai, H., Li, M., & Hong, Y.* (2024). Grandparental childcare and maternal labor supply in Chinese families with young children: Evidence from the China Family Panel Studies. International Sociology, 39(4), 486–509. (SSCI Q2, Lead quantitative modeler)

Selected Chinese Journal Articles (CSSCI)

  • Hong, Y. (2024). Discipline development challenges in the construction of higher education superpower. Beijing Education (Higher Education), (01), 27–29.
  • Hong, Y. (2024). On the cultivation of core competencies in the era of artificial intelligence. Primary and Secondary School Principals, (03), 33–36.
  • Hong, Y., & Gao, Y. (2020). Research collaboration and innovation mechanisms between Chinese and American high-level universities: A social network analysis based on WoS co-authorship. Jiangsu Higher Education, (02), 48–56.
  • Hong, Y. (2016). The impact mechanism of university collaborative innovation on academic output quality: A citation analysis of elite universities. Tsinghua Journal of Education, 37(05), 98–106.
  • Hong, Y., et al. (2015). Academic governance and operational models in university charters: Textual analysis of 18 university charters. China Higher Education Research, (09), 32–37.
  • Lin, G., & Hong, Y. (2016). Administrative vs. academic rationales in student evaluation of teaching. Educational Research (教育研究), (08), 84–91.
  • Zhao, Y., & Hong, Y., et al. (2010). Financial support issues and solutions for local colleges in the massification of higher education. Educational Research (教育研究), (07), 35–42.

5. Technical Skills & Methods

  • Statistical & Econometric Computing: Python, R, Stata, SPSS
  • Computational Methods: Prompt Engineering, Embedding & RAG Pipelines, Social Network Analysis (SNA), Bibliometrics, Vibe Coding
  • Business Intelligence: Tableau, FineBI