Scholar
Yan Zhuang
Google Scholar ID: 7MX_P5cAAAAJ
University of Science and Technology of China
Citations & Impact
Citations
328
H-index
9
i10-index
8
Publications
20
Co-authors
7
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published multiple papers at top-tier conferences including ICML, NeurIPS, AAAI, SIGIR, and CIKM as first or co-author
- Notable works: 'Position: AI Evaluation Should Learn from How We Test Humans' (ICML'2025)
- 'Survey of Computerized Adaptive Testing: A Machine Learning Perspective' (Arxiv survey)
- 'am-ELO: A Stable Framework for Arena-based LLM Evaluation' (ICML'2025 Spotlight)
- 'Computerized Adaptive Testing via Collaborative Ranking' (NeurIPS'2024)
- 'PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations' (NeurIPS'2024)
- 'A Bounded Ability Estimation for Computerized Adaptive Testing' (NeurIPS'2023)
- 'A Unified Adaptive Testing System Enabled by Hierarchical Structure Search' (ICML'2024)
- 'A Robust Computerized Adaptive Testing Approach in Educational Question Retrieval' (SIGIR'2022)
- 'Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education' (AAAI'2022)
- Co-authored paper received CIKM'2023 Best Paper Runners Up: 'FairLISA: Fair User Modeling with Limited Sensitive Attributes Information'
Background
- PhD candidate at School of Computer Science and Technology, University of Science and Technology of China (USTC)
- Member of BASE Group
- Research focuses on AI for Education
- Specific interests include Computerized Adaptive Testing, Cognitive Diagnosis, and Student Modeling
- Recently working on Evaluation and Diagnosis for Large Language Models
