Guojing Li

Guojing Li 李国静

Joint Ph.D. Student, School of Data Science, City University of Hong Kong &
School of Labor and Human Resources, Renmin University of China

Hi there! I am currently a joint Ph.D. student in Data Science at the School of Computer Science, City University of Hong Kong (Supervisor: Professor Xiangyu Zhao), and in Human Resource Management at the School of Labor and Human Resources, Renmin University of China (Supervisor: Professor Wenxia Zhou, Distinguished Professor and Second-rank Professor— The highest academic title in the humanities and social sciences in mainland China, and I am also affiliated with the Applied Machine Learning Lab (AML) at CityU of Hong Kong.

Research Interests

  • Multi-source, multi-method psychometrics of employment-related competencies, career success and AI-era work outcomes among university students and research-track master's/PhD students.
  • Machine-learning and NLP-based text mining of recruitment texts and open-ended questionnaire responses to extract competence elements, build predictive models (classification and regression), and design human-like data augmentation pipelines.
  • Career and job recommendation systems: leveraging survey, behavioral, and labor-market data to fine-tune models and develop career recommendation/counseling agents for students.
  • More broadly, NLP, large language models (LLMs), and big-data methods for labor-market analytics and social science research.

Education

  • Ph.D. in Data Science, City University of Hong Kong, 2024 – present
  • Ph.D. in Human Resource Management, Renmin University of China
  • M.A. in Applied Psychology, City University of Macao
  • B.Sc. in Applied Mathematics, Beijing Normal University (Zhuhai Campus)

Selected Publications

  • Han, Z., Cheng, Y., Ren, Z., Wang, D., Li, G. (2024). Meta-analysis of work connectivity behavior and work–life conflict: From the perspective of the work–family resource model. Advances in Psychological Science.
  • Fu, Z., Wu, X., Li, G., Zhang, Y., Zheng, Y., Ming, T., Wang, Y., Wang, W., Zhao, X. (2025). Model Merging for Knowledge Editing. ACL 2025 Industry Track (Oral).
  • Zhou, W., Pan, Z., Li, G., et al. (2023). Handbook of Career Research, Teaching, and Counseling Tools.
  • Zhao, Y., Cao, W., Yuan, Z., Rong, X., Li, G. (2018). Research on the differences between brand image presentation and positioning of news media: Taking Huawei and Xiaomi as examples. Annual Conference of the Chinese Society of Journalism and History.

Working Papers & Current Projects

  • Chinese-SkillSpan: A Span-Level Dataset for ESCO-Aligned Competency Extraction from Chinese Job Ads
  • Hallucination-Free Job Skill Extraction via LLM-Centric Multi-Module Framework
  • LLM for Job Recommendation
  • Core Competencies Related to Chinese College Students' Employment: A Bibliometric and Content Analysis of Chinese Literature (1979–2025) — Excellent Paper Award at the “Algorithmic Management and Human–Machine Integration Forum”; manuscript currently under journal submission.

Professional Experience

  • Teaching Assistant, School of Labor and Human Resources, Renmin University of China, 2020/09 – present
    Involved in multiple research and consulting projects on vocational skill improvement, freelance labor, Civil service management systems and AI-era career success mechanisms; responsible mainly for data analysis and reporting.
  • Visiting Scholar, Scott College of Business, Indiana State University, 2022/09 – 2024/04
  • Research Consultant & Data Analyst Engineer, eRS Information Technology Limited, 2018/07 – present
    Participated in text mining projects (text classification, sentiment analysis, topic modeling, word relation modeling, named entity recognition, and AI-based telephone number recognition models) and deployed models to online production.

Awards & Scholarships

  • Excellent Paper Award, “Algorithmic Management and Human–Machine Integration Forum”, for the paper Core Competencies Related to Chinese College Students' Employment: A Bibliometric and Content Analysis of Chinese Literature (1979–2025).
  • China Scholarship Council (CSC) National Study Abroad Scholarship.
  • Ph.D. Scholarship (C-Class) for Doctoral Students, Renmin University of China.

Skills & Certifications

  • Data & Programming: SPSS, Amos, SAS, MATLAB, R, Java, Python, text mining and machine learning toolkits.
  • Professional Certifications: AI Engineer (Microsoft MTA), Data Management Specialist (Microsoft MTA), Data Analyst, etc.
  • Languages: Mandarin & Cantonese (native), English (IELTS 6.5, CET-6).
  • Others: Teacher Qualification Certificate; participation in multiple workshops on psychosomatic medicine, psychotherapy, and big data applications.