About Me
I have joined in the NUS Ubicomp Lab on 14 Oct. 2024 as a research fellow working with Prof. Brian Y. Lim. I received my PhD. degree in Computer Science and Technology at University of Science and Technology of China (USTC) in 2024, advised by Prof. Enhong Chen and Prof. Qi Liu. I received my bachelor’s degree in Computer Science and Technology at USTC in 2018.
My research interests lie in deep learning, user modeling, explainable AI, and their applications for areas such as education. My current research focuses on measuring users’ abilities with cognitive diagnosis models. I introduced the data-driven strategy into traditional psychometric-based cogntive diagnosis models, and have extended this research from different aspects, including the influences of item contents, knowledge concept structures, and examinees’ context. I have also explored some other related topics in user modeling, such as interpretability, uncertainty, fairness, and cold start.
Selected Publications
A Survey of Models for Cognitive Diagnosis: New Developments and Future Directions
Fei Wang, Weibo Gao, Qi Liu, Jiatong Li, Guanhao Zhao, Zheng Zhang, Zhenya Huang, Mengxiao Zhu, Shijin Wang, Wei Tong, Enhong Chen
Preprint [paper]
Unified Uncertainty Estimation for Cognitive Diagnosis Models
Fei Wang, Qi Liu, Enhong Chen, Chuanren Liu, Zhenya Huang, Jinze Wu, Shijin Wang
WWW 2024 [paper] [code]
Dynamic Cognitive Diagnosis: An Educational Priors-Enhanced Deep Knowledge Tracing Perspective
Fei Wang, Zhenya Huang, Qi Liu, Enhong Chen, Yu Yin, Jianhui Ma, Shijin Wang
IEEE Transactions on Learning Technologies, 2023, 16(3): 306-323 [paper] [code]
NeuralCD: a general framework for cognitive diagnosis
Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yu Yin, Shijin Wang, Yu Su
Transactions on Knowledge and Data Engineering, 2023. 35(8):8312-8327 [paper] [code]
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
NeurIPS 2023 [paper]
HierCDF: A Bayesian Network-based Hierarchical Cognitive Diagnosis Framework
Jiatong Li, Fei Wang, Qi Liu, Mengxiao Zhu, Wei Huang, Zhenya Huang, Enhong Chen, Yu Su, Shijin Wang
SIGKDD 2022 [paper]
Neural cognitive diagnosis for intelligent education systems
Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yuying Chen, Yu Yin, Zai Huang, Shijin Wang
AAAI 2020 [paper] [code] [slide]
Modeling context-aware features for cognitive diagnosis in student learning
Yuqiang Zhou, Qi Liu, Jinze Wu, Fei Wang, Zhenya Huang, Wei Tong, Hui Xiong, Enhong Chen, Jianhui Ma
SIGKDD 2021 [paper]