Natural language processing · AI-supported assessment

About me

I am a PhD student in Human Resource Management at Renmin University of China, supervised by Professor Wenxia Zhou. I am also undertaking joint PhD training in Data Science at the City University of Hong Kong, supervised by Professor Xiangyu Zhao.

My research combines natural language processing, large language models, and psychometrics to study how text can support assessment and decision-making. I work on competency extraction, structured feedback, and recommendation tools, with applications in recruitment and career development.

Selected publications & research outputs

Published / Accepted

• Sliding Window Attention Training for Efficient Large Language Models

  Fu, Z., Li, G., et al. (2026).

  ICDM 2026 (Accepted).

• Feeling of Knowing in Large Language Models

  Fu, Z., Wu, X., Gao, J., Zhang, W., Li, J., Wang, B., Deng, Y., Li, G., Li, X., Xu, D., Zheng, Y., & Zhao, X. (2026).

  NeurIPS 2026 (Poster).

• Model Merging for Knowledge Editing

  Fu, Z., Wu, X., Li, G., et al. (2025).

  ACL 2025 Industry Track (Oral), 433–443.

• Tandem: Riding Together with Large and Small Language Models for Efficient Reasoning

  Fu, Z., Wu, X., Li, G., et al. (2026).

  Findings of ACL 2026, 42286–42302.

• Towards Pareto-Optimal Tool-Integrated Agents with Pareto Ranking Policy Optimization

  Li, J., Qian, X., Zhang, Y., Zhang, W., Li, G., et al. (2026).

  ICML 2026 (Spotlight), PMLR 306, 69408–69424.

• A meta-analysis of work connectivity behavior after-hours and work-life conflict: Based on the work-home resources model

  Han, Z., Cheng, Y., Ren, Z., Wang, D., & Li, G. (2024).

  Advances in Psychological Science, 32(12), 2031–2049. (In Chinese.)

Preprints & working papers

• Chinese-SkillSpan: A Span-Level Dataset for ESCO-Aligned Competency Extraction from Chinese Job Ads

  Li, G., Fu, Z., Li, J., et al. (2026).

  arXiv:2604.23009.

• Job Skill Extraction via LLM-Centric Multi-Module Framework

  Li, G., Fu, Z., Li, J., et al. (2026).

  arXiv:2604.21525.

• Attention Needs to Focus: A Unified Perspective on Attention Allocation

  Fu, Z., Song, W., Li, G., et al. (2026).

  arXiv:2601.00919.

• Positive Career Shocks as Workforce-Sustainability Inflection Points: Career Exploration Pathways to Career Change Intention across Organizational Hierarchical Levels

  Li, G. (2026).

  SSRN working paper.

Book chapters & conference contributions

• 可持续职业生涯量表 / Sustainable Career Scale

  李国静 (2023).

  In 周文霞 & 金秋萍 (Eds.), 职业生涯研究、教学与咨询工具手册 [Handbook of Tools for Career Research, Teaching, and Counseling], Part VI, Chapter 3. Peking University Press. ISBN: 9787301344873. (In Chinese.)

• 新闻媒体对品牌的形象呈现与自身定位差异研究——以华为和小米为例

  Differences between news media portrayals and brands' self-positioning: A study of Huawei and Xiaomi

  赵莹, 曹文鸳, 张荣显, & 李国静 (2018).

  中国新闻史学术年会, Hangzhou, October. (In Chinese.)

Ongoing research

• GUI-Lens: Coarse-to-Fine Cropping for GUI Grounding with General-Purpose VLMs

  Fu, Z., Wang, S., Zhang, W., Li, G., et al. (2026).

  ACL ARR, October 2026 submission. Preprint: arXiv:2608.03270.

• G-Evolver: Learning to Evolve Graph Memory with Continual Structural Refinement

  Wen, Y., et al. (2026).

  ICLR 2027 submission.

• Collaborative Question Answering with Cross-Sequence Attention

  Fu, Z., Wu, X., Li, G., et al. (2026).

  ICML 2026 submission.

• LLM-based Job Recommendation and Competency Extraction from Multi-Domain Recruitment Texts

Education

• 2020–present

  PhD in Human Resource Management

  Renmin University of China

• 2024–present

  Joint PhD Training in Data Science

  City University of Hong Kong

• 2013–2016

  M.S. in Applied Psychology

  City University of Macau

• 2009–2013

  B.S. in Applied Mathematics

  Beijing Normal University, Zhuhai

Research & professional experience

• 2025/12–present

  Intern, Human Capital Department

  CITIC Group

  Supported human resource management tasks and gained practical experience in corporate human capital operations.

• 2020/09–present

  Teaching / Research Assistant

  School of Labor and Human Resources, Renmin University of China

  Contributed to projects on vocational skill improvement, organizational evaluation, and career-success research, including participation in a National Social Science Fund project on social capital, human capital, and career success in the AI era. Responsible for data analysis, reporting, and research support in collaborative projects.

• 2022/09–2024/04

  Visiting Scholar

  Scott College of Business, Indiana State University

• 2018/07–2021/07

  Research Consultant & Data Analyst Engineer

  BoYi Data (a subsidiary of eRS Information Technology Limited)

  Worked on text classification, sentiment analysis, topic modeling (LDA), named entity recognition, and other text-mining projects, including application-oriented NLP model development and deployment.

Skills & languages

• Programming / Analytics: Python, R, Java, SPSS, SAS, MATLAB, Amos.
• NLP / ML Experience: text mining, information extraction, sentiment analysis, topic modeling, named entity recognition, machine learning, and large language model applications.
• Assessment / Application Experience: AI-supported assessment, multi-source evaluation, structured feedback, and user-facing intelligent applications.
• Languages: Mandarin Chinese (native), Cantonese (native), English (IELTS 6.5).

Certifications

• Certified Data Analyst (CDA), Level II
• AI Engineer
• Data Management Specialist
• Data Analyst
• Python Technical Developer (Advanced)
• Senior Software Engineer
• Big Data Analyst
• Teacher Qualification Certificate

Selected awards

• Excellent Paper Award, Algorithmic Management and Human–Machine Integration Forum.
• China Scholarship Council (CSC) Scholarship.
• C-Class Scholarship for PhD Students, Renmin University of China.