Yan Zhuang

According to our database, Yan Zhuang authored at least 26 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs.

Yuxiang Guo, Yan Zhuang, Qi Liu, Zhenya Huang, Xianquan Wang, Liyang He, Jiatong Li, Rui Li, Shijin Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Efficient Benchmarking via Bias-Bounded Subset Selection.

Yan Zhuang, Junhao Yu, Qi Liu, Yuxuan Sun, Jiatong Li, Zhenya Huang, Enhong Chen

IEEE Trans. Pattern Anal. Mach. Intell., December, 2025

Where is the Next Step? Predicting the Scientific Impact of Research Career.

Hefu Zhang, Yong Ge, Yan Zhuang, Enhong Chen

IEEE Trans. Big Data, June, 2025

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, 2025

HCD: A Hierarchy Constraint-Aware Neural Cognitive Diagnosis Framework.

Xinjie Sun, Qi Liu, Kai Zhang, Shuanghong Shen, Fei Wang, Yan Zhuang, Zheng Zhang, Weiyin Gong, Shijin Wang, Lina Yang, Xingying Huo

Neural Networks, 2025

Plug-and-play fine grained neural cognitive diagnosis framework.

Xinjie Sun, Qi Liu, Kai Zhang, Weiyin Gong, Shuanghong Shen, Fei Wang, Yan Zhuang, Meikai Bao, Shijin Wang, Yuling Ma, Enhong Chen

Eng. Appl. Artif. Intell., 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

TestAgent: An Adaptive and Intelligent Expert for Human Assessment.

Junhao Yu, Yan Zhuang, Yuxuan Sun, Weibo Gao, Qi Liu, Mingyue Cheng, Zhenya Huang, Enhong Chen

Proceedings of the Findings of the Association for Computational Linguistics, 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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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 Trans. Learn. Technol., 2024

Optimizing Student Ability Assessment: A Hierarchy Constraint-Aware Cognitive Diagnosis Framework for Educational Contexts.

Xinjie Sun, Qi Liu, Kai Zhang, Shuanghong Shen, Fei Wang, Yan Zhuang, Zheng Zhang, Weiyin Gong, Shijin Wang, Lina Yang, Xingying Huo

CoRR, 2024

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

CoRR, 2024

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

Sci. China Inf. Sci., 2024

Computerized Adaptive Testing via Collaborative Ranking.

Zirui Liu, Yan Zhuang, Qi Liu, Jiatong Li, Yuren Zhang, Zhenya Huang, Jinze Wu, Shijin Wang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

A Unified Adaptive Testing System Enabled by Hierarchical Structure Search.

Junhao Yu, Yan Zhuang, Zhenya Huang, Qi Liu, Xin Li, Rui Li, Enhong Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Explainable Computerized Adaptive Testing with Large Language Model.

Cheng Cheng, Guanhao Zhao, Zhenya Huang, Yan Zhuang, Zhaoyuan Pan, Qi Liu, Xin Li, Enhong Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Efficiently Measuring the Cognitive Ability of LLMs: An Adaptive Testing Perspective.

Yan Zhuang, Qi Liu, Yuting Ning, Weizhe Huang, Rui Lv, Zhenya Huang, Guanhao Zhao, Zheng Zhang, Qingyang Mao, Shijin Wang, Enhong Chen

CoRR, 2023

A Bounded Ability Estimation for Computerized Adaptive Testing.

Yan Zhuang, Qi Liu, Guanhao Zhao, Zhenya Huang, Weizhe Huang, Zachary A. Pardos, Enhong Chen, Jinze Wu, Xin Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Search-Efficient Computerized Adaptive Testing.

Yuting Hong, Shiwei Tong, Wei Huang, Yan Zhuang, Qi Liu, Enhong Chen, Xin Li, Yuanjing He

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

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

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education.

Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Shuanghong Shen, Haiping Ma

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022