Yan Zhuang (庄严) Associate Professor College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics Nanjing City, China E-mail: yanzhuang@nuaa.edu.cn

Biography

I am an Associate Professor at the College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics (NUAA), and a member of the iBrain Group. I received my Ph.D. from the State Key Laboratory of Cognitive Intelligence, University of Science and Technology of China (USTC), where I was advised by Prof. Qi Liu.

My research interests include Large Language Models, AI for Education, Machine Learning, and Measurement Theory. My work is centered on two complementary directions: enhancing human cognition with AI and improving intelligent systems through human cognitive and measurement mechanisms. Specifically, I study AI models and adaptive assessment methods for educational scenarios, with applications in large-scale online learning platforms such as the Open University of China. I also investigate reliable training and evaluation frameworks for LLMs and intelligent agents from the perspective of human assessment and cognitive measurement.

Publications (Google Scholar, Code)

Recent Publications

• Survey of Computerized Adaptive Testing: A Machine Learning Perspective
  Yan Zhuang, Qi Liu, Haoyang Bi, Zhenya Huang, Weizhe Huang, Jiatong Li, Junhao Yu, Zirui Liu, Zirui Hu, Yuting Hong, Zachary A. Pardos, Haiping Ma, Mengxiao Zhu, Shijin Wang, Enhong Chen.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI 2026, CCF-A Journal, SCI Q1, IF: 18.6), Accepted.
  

• Efficient Benchmarking via Bias-Bounded Subset Selection
  Yan Zhuang, Junhao Yu, Qi Liu^*, Yuxuan Sun, Jiatong Li, Zhenya Huang, Enhong Chen.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI 2025, CCF-A Journal, SCI Q1, IF: 18.6).
  

• Rethinking Pretraining Data Detection for LLMs: From Local to Global
  Chenye Ke, Yan Zhuang, Zirui Liu, Qi Liu.
  The 43rd International Conference on Machine Learning (ICML'2026, CCF-A Conference).
  

• Efficient Adaptive Testing via Gradient Path Matching Subset Selection for AI Education
  Yan Zhuang, Junhao Yu, Bohou Zhang, Zachary Pardos, Jinze Wu, Daoqiang Zhang.
  The 43rd International Conference on Machine Learning (ICML'2026, CCF-A Conference).
  

• Fewer Battles, More Gain: An Information-Efficient Framework for Arena-based LLM Evaluation
  Zirui Liu, Xianquan Wang, Yan Zhuang, Jiatong Li, Qi Liu^*, Shuanghong Shen, Mingyue Cheng, Shijin Wang.
  The Fourteenth International Conference on Learning Representations (ICLR'2026, CCF-A Conference).
  

• From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs
  Yuxiang Guo, Yan Zhuang, Qi Liu, Zhenya Huang, Xianquan Wang, et al.
  The AAAI Conference on Artificial Intelligence (AAAI'2026, CCF-A Conference).
  

Selected Publications

• Position: AI Evaluation Should Learn from How We Test Humans
  Yan Zhuang, Qi Liu^*, Zachary A. Pardos, Patrick C. Kyllonen, Jiyun Zu, Zhenya Huang, Shijin Wang, Enhong Chen.
  The 42nd International Conference on Machine Learning (ICML'2025, CCF-A Conference), Vancouver, 2025.
  

• A Closed-Form Solution for Fast and Reliable Adaptive Testing
  Yan Zhuang, Chenye Ke, Zirui Liu, Qi Liu^*, Yuting Ning, Zhenya Huang, Weizhe Huang, Qingyang Mao, Shijin Wang.
  The 39th Conference on Neural Information Processing Systems (NeurIPS'2025, CCF-A Conference).
  

• A Bounded Ability Estimation for Computerized Adaptive Testing, [Code]
  Yan Zhuang, Qi Liu^*, GuanHao Zhao, Zhenya Huang, Weizhe Huang, Zachary Pardos, Enhong Chen, Jinze Wu, Xin Li.
  The 37th Conference on Neural Information Processing Systems (NeurIPS'2023, CCF-A Conference), New Orleans, USA, Dec. 10–16, 2023.
  

• A Robust Computerized Adaptive Testing Approach in Educational Question Retrieval
  Yan Zhuang, Qi Liu^*, Zhenya Huang, Zhi Li, Binbin Jin, Haoyang Bi, Enhong Chen, Shijin Wang.
  The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2022, CCF-A Conference).
  

• Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education
  Yan Zhuang, Qi Liu^*, Zhenya Huang, Zhi Li, Shuanghong Shen, Haiping Ma.
  The 36th AAAI Conference on Artificial Intelligence (AAAI'2022, CCF-A Conference).
  

• TestAgent: An Adaptive and Intelligent Expert for Human Assessment
  Junhao Yu, Yan Zhuang, Yuxuan Sun, Jiatong Li, Zhenya Huang, Enhong Chen.
  The 63rd Annual Meeting of the Association for Computational Linguistics (ACL'2025, CCF-A Conference).
  

• am-ELO: A Stable Framework for Arena-based LLM Evaluation
  Zirui Liu, Jiatong Li, Yan Zhuang, Qi Liu, Shuanghong Shen, Jie Ouyang, Mingyue Cheng, Shijin Wang.
  The 42nd International Conference on Machine Learning (ICML'2025, Spotlight, CCF-A Conference), Vancouver, 2025.
  

• Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model
  Guanhao Zhao, Zhenya Huang, Cheng Cheng, Yan Zhuang, Qingyang Mao, Xin Li, Shijin Wang, Enhong Chen.
  The AAAI Conference on Artificial Intelligence (AAAI'2025, CCF-A Conference).
  

• A Unified Adaptive Testing System Enabled by Hierarchical Structure Search
  Junhao Yu, Yan Zhuang, Zhenya Huang, Qi Liu, Xin Li, Rui Li, Enhong Chen.
  The 41st International Conference on Machine Learning (ICML'2024, CCF-A Conference), Vienna, Austria, 2024.
  

• Computerized Adaptive Testing via Collaborative Ranking
  Zirui Liu, Yan Zhuang, Qi Liu^*, Jiatong Li, Yuren Zhang, Zhenya Huang, Jinze Wu, Shijin Wang.
  The 38th Conference on Neural Information Processing Systems (NeurIPS'2024, CCF-A Conference), Vancouver, Dec. 10–15, 2024.
  

• PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations
  Jiatong Li, Renjun Hu, Kunzhe Huang, Yan Zhuang, Qi Liu^*, Mengxiao Zhu, Xing Shi, Wei Lin.
  The 38th Conference on Neural Information Processing Systems (NeurIPS'2024, CCF-A Conference), Vancouver, Dec. 10–15, 2024.
  

• A Diffusion-Based Cognitive Diagnosis Framework for Robust Learner Assessment
  Guanhao Zhao, Zhenya Huang, Yan Zhuang, Haoyang Bi, Yiyan Wang, Fei Wang, Zhiyuan Ma, Yixia Zhao.
  IEEE Transactions on Learning Technologies.
  

• Towards Explainable Computerized Adaptive Testing with Large Language Model
  Cheng Cheng, Guanhao Zhao, Zhenya Huang, Yan Zhuang, et al.
  The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP'2024, CCF-B Conference).
  

• Search-Efficient Computerized Adaptive Testing
  Yuting Hong, Shiwei Tong, Wei Huang, Yan Zhuang, Qi Liu, Enhong Chen, Xin Li, Yuanjing He.
  The 32nd ACM International Conference on Information and Knowledge Management (CIKM'2023, CCF-B Conference, Best Paper Nomination).
  

• FairLISA: Fair User Modeling with Limited Sensitive Attributes Information
  Zheng Zhang, Qi Liu, Hao Jiang, Fei Wang, Yan Zhuang, Le Wu, Weibo Gao, Enhong Chen.
  The 37th Conference on Neural Information Processing Systems (NeurIPS'2023, CCF-A Conference).
  

• Understanding and Improving Fairness in Cognitive Diagnosis
  Zheng Zhang, Le Wu, Qi Liu, Jiayu Liu, Zhenya Huang, Yu Yin, Yan Zhuang, et al.
  SCIENCE CHINA Information Sciences (SCIS, CCF-A Journal).
  

• Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems
  Guanhao Zhao, Zhenya Huang, Yan Zhuang, Jiayu Liu, Qi Liu, et al.
  The 32nd ACM International Conference on Information and Knowledge Management (CIKM'2023, CCF-B Conference).
  

• LGS-KT: Integrating Logical and Grammatical Skills for Effective Programming Knowledge Tracing
  Xinjie Sun, Qi Liu, Kai Zhang, Shuanghong Shen, Yan Zhuang, Yuxiang Guo.
  Neural Networks (CCF-B Journal, SCI Q1).
  

• Where is the Next Step? Predicting the Scientific Impact of Research Career
  Hefu Zhang, Yong Ge, Yan Zhuang, Enhong Chen.
  IEEE Transactions on Big Data (CCF-C Journal, SCI Q2).
  

• 人工智能辅助的自适应测试
  刘淇, 黄振亚, 庄严, 陈恩红.
  中国计算机学会通讯 (CCCF).
  

Academic Services

Reviewer: NeurIPS, ICML, AAAI, WWW, ICLR, TKDE, Artificial Intelligence Review, TBD.

Honors & Awards

Last Updated by Yan: 2026.5