Yan Zhuang (庄严) PhD candidate School of Computer Science and Technology, University of Science and Technology of China Hefei City, Anhui Province, China E-mail: zykb@mail.ustc.edu.cn

Biography

I'm a PhD student in BASE Group, University of Science and Technology of China (USTC). My advisors is Prof. Qi Liu.

My research mainly focuses on AI for Education, including Computerized Adaptive Testing, Cognitive Diagnosis, Student Modeling. Recently I am focusing on the Evaluation and Diagnosis for Large Language Model

Publications (Google Scholar, Code)

• From Static Benchmarks to Adaptive Testing: Psychometrics in AI Evaluation,
  Yan Zhuang, Qi Liu, Yuting Ning, Weizhe Huang, Zachary A. Pardos, Patrick C. Kyllonen, Jiyun Zu, Qingyang Mao, Rui Lv, Zhenya Huang, Guanhao Zhao, Zheng Zhang, Shijin Wang, Enhong Chen, Arxiv.
  

• Survey of Computerized Adaptive Testing: A Machine Learning Perspective,
  Qi Liu, Yan Zhuang, 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, Arxiv.
  

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

• 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), New Orleans, USA, Dec 10-16 2023.
  

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

• 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), Virtual Conference, July 11-15 2022.
  

• Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education,
  Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Shuanghong Shen and Haiping Ma,
  The 36th AAAI Conference on Artificial Intelligence (AAAI'2022), Virtual Conference, February 22-March 1 2022.
  

• Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems,
  Guanhao Zhao, Zhenya Huang, Yan Zhuang, Jiayu Liu, Qi Liu, Zhiding Liu, Jinze Wu, Enhong Chen,
  The 32nd ACM International Conference on Information and Knowledge Management (CIKM'2023), Birmingham, United Kingdom, October 21–25 2023.
  

• 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), Birmingham, United Kingdom, October 21–25 2023. (Best Paper Runners Up)
  

• 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), New Orleans, USA, Dec 10-16 2023.
  

• Understanding and Improving Fairness in Cognitive Diagnosis,
  Zheng Zhang, Le Wu, Qi Liu, Jiayu Liu, Zhenya Huang, Yu Yin, Yan Zhuang, Weibo Gao, Enhong Chen,
  SCIENCE CHINA Information Sciences (SCIS), 2023, accepted.
  

• Where is the Next Step? Predicting the Scientific Impact of Research Career,
  Hefu Zhang, Yong Ge, Yan Zhuang, and Enhong Chen,
  IEEE Transactions on Big Data (TBD), 2024, accepted.
  

Academic Services

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

Honors & Awards

Last Updated by Yan: 2024.8