庄严，工学博士，南京航空航天大学人工智能学院上岗副研究员。博士毕业于中国科学技术大学-认知智能全国重点实验室，师从刘淇教授。主要研究方向为机器学习、数据挖掘与测量理论，聚焦“AI促进人类认知提升”与“以人类认知机制改进智能系统”两条主线：一方面研究面向教育场景的AI模型与自适应评测方法，推动智能技术提升人类认知水平，并已在国家开放大学开展示范应用；另一方面探索基于人类认知过程与测量理论的建模方法，致力于构建高可靠的认知大模型与能力评估体系。

近5年，在IEEE TPAMI、ICML、NeurIPS、ICLR等CCF推荐期刊/会议发表论文20余篇，撰写学术专著1部，曾获CIKM 2023最佳论文提名。相关科研成果已在国家开放大学、科大讯飞及美国教育考试中心等机构落地应用。曾参与国家重点研发计划课题2项。

招生：长期欢迎研究生（保研/考研）及本科生加入课题组。是否有基础不重要，重要的是有科研热情、主动学习能力，敢想敢做，敢为人先。

发表论文：

2026

[1] 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. Survey of Computerized Adaptive Testing: A Machine Learning Perspective, IEEE Transactions on Pattern Analysis and Machine Intelligence, Accepted (IEEE TPAMI 2026, CCF-A类期刊，SCI一区，IF: 18.6)

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

[3] Yuxiang Guo, Yan Zhuang, Qi Liu, Zhenya Huang, Xianquan Wang, et. al, From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs. (AAAI’ 2026, CCF-A类会议)

2025

[1] Yan Zhuang, Junhao Yu, Qi Liu*, Yuxuan Sun, Jiatong Li, Zhenya Huang, Enhong Chen, Efficient Benchmarking via Bias-Bounded Subset Selection, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI 2025, CCF-A类期刊，SCI一区，IF: 18.6)

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

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

[4] Junhao Yu, Yan Zhuang, Yuxuan Sun, Weibo Gao, Qi Liu, Mingyue Cheng, Zhenya Huang, and Enhong Chen, TestAgent: An Adaptive and Intelligent Expert for Human Assessment. (ACL'2025，CCF-A类会议)

[5] Zirui Liu, Jiatong Li, Yan Zhuang, Qi Liu, Shuanghong Shen, et.al. am-ELO: A Stable Framework for Arena-based LLM Evaluation (ICML'2025，CCF-A类会议)

[6]   Guanhao Zhao, Zhenya Huang, Cheng Cheng, Yan Zhuang, Qingyang Mao, Xin Li, Shijin Wang, Enhong Chen, Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model (AAAI'2025，CCF-A类会议)

[7]   Xinjie Sun, Qi Liu, Kai Zhang, Shuanghong Shen, Yan Zhuang, Yuxiang Guo. LGS-KT: Integrating logical and grammatical skills for effective programming knowledge tracing (Neural Networks，CCF-B类期刊，SCI一区)

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

2024

[1] Junhao Yu, Yan Zhuang, Zhenya Huang, Qi Liu, Xin Li, Rui Li, Enhong Chen. A Unified Adaptive Testing System Enabled by Hierarchical Structure Search. (ICML'2024，CCF-A类会议)

[2] Zirui Liu, Yan Zhuang, Qi Liu, Jiatong Li, Yuren Zhang, Zhenya Huang, Jinze Wu, Shijin Wang, Computerized Adaptive Testing via Collaborative Ranking. (NeurIPS'2024，CCF-A类会议)

[3] Jiatong Li, Renjun Hu, Kunzhe Huang, Yan Zhuang, Qi Liu, Mengxiao Zhu, et.al. PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations (NeurIPS'2024，CCF-A类会议)

[4]   Guanhao Zhao, Zhenya Huang, Yan Zhuang, Haoyang Bi, Yiyan Wang, Fei Wang, Zhiyuan Ma, Yixia Zhao, A Diffusion-Based Cognitive Diagnosis Framework for Robust Learner Assessment (IEEE TLT)

[5]   Cheng Cheng, Guanhao Zhao, Zhenya Huang, Yan Zhuang, et.al, Towards Explainable Computerized Adaptive Testing with Large Language Model (EMNLP'2024，CCF-B类会议)

[6]   Hefu Zhang, Yong Ge, Yan Zhuang, Enhong Chen. Where is the Next Step? Predicting the Scientific Impact of Research Career (IEEE TBD，CCF-C类期刊，SCI二区)

2023

[1]   Yan Zhuang, Qi Liu*, GuanHao Zhao, Zhenya Huang, Weizhe Huang, Zachary Pardos, Enhong Chen, Jinze Wu, Xin Li, A Bounded Ability Estimation for Computerized Adaptive Testing, The 37th Conference on Neural Information Processing Systems (NeurIPS’2023, CCF-A类会议)

[2]   Yuting Hong, Shiwei Tong, Wei Huang, Yan Zhuang, Qi Liu, Enhong Chen, Xin Li, Yuanjing He, Search-Efficient Computerized Adaptive Testing (CIKM'2023，CCF-B类会议，最佳论文提名)

[3]   Zheng Zhang, Qi Liu, Hao Jiang, Fei Wang, Yan Zhuang, Le Wu, Weibo Gao, Enhong Chen, FairLISA: Fair User Modeling with Limited Sensitive Attributes Information (NeurIPS'2023，CCF-A类会议)

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

[5]   Guanhao Zhao, Zhenya Huang, Yan Zhuang, Jiayu Liu, Qi Liu, et.al, Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems (CIKM'2023，CCF-B类会议)

2022

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

[2]   Yan Zhuang, Qi Liu*, Zhenya Huang, Zhi Li, Shuanghong Shen and Haiping Ma, Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education, The 36th AAAI Conference on Artificial Intelligence (AAAI’2022, CCF-A类会议)