Publications
You can also find my articles on my Google Scholar profile.
Journal Papers
- Fei Wang, Zhenya Huang, Qi Liu, Enhong Chen, Yu Yin, Jianhui Ma, Shijin Wang. Dynamic Cognitive Diagnosis: An Educational Priors-Enhanced Deep Knowledge Tracing. IEEE Transactions on Learning Technologies (IEEE TLT), 16(3): 306-323, 2024. [paper] [code]
- Xinjie Sun, Kai Zhang, Shuanghong Shen, Fei Wang, Yuxiang Guo, Qi Liu. Target hierarchy-guided knowledge tracing: Fine-grained knowledge state modeling. Expert Systems with Applications (ESWA), 251:123898, 2024. [paper]
- Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yu Yin, Shijin Wang, Yu Su. NeuralCD: a general framework for cognitive diagnosis. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 35(8):8312-8327, 2023. [paper] [code]
- Suojuan Zhang, Song Huang, Xiaohan Yu, Enhong Chen, Fei Wang, Zhenya Huang. A generalized multi-skill aggregation method for cognitive diagnosis. World Wide Web (WWW), 26(2): 585-614, 2023. [paper]
- Jiayu Liu, Fei Wang, Haiping Ma, Zhenya Huang, Qi Liu, Enhong Chen, Yu Su. A probabilistic framework for temporal cognitive diagnosis in online learning systems. Journal of Computer Science and Technology (JCST), 38(6):1203-1222, 2022. [paper]
- Wei Tong, Fei Wang, Qi Liu, Enhong Chen. Data driven prediction for the difficulty of mathematical items. Journal of Computer Research and Development (CRD), 56(5):1007-1019, 2019. [paper]
Conference Papers
- Fei Wang, Qi Liu, Enhong Chen, Chuanren Liu, Zhenya Huang, Jinze Wu, Shijin Wang. Unified Uncertainty Estimation for Cognitive Diagnosis Models. WWW’2024: 3545-3554. [paper] [code]
- Jiatong Li, Qi Liu, Fei Wang, Jiayu Liu, Zhenya Huang, Fangzhou Yao, Linbo Zhu, Yu Su. Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm. WWW’2024: 3420-3431. [paper]
- Liyang He, Zhenya Huang, Jiayu Liu, Enhong Chen, Fei Wang, Jing Sha, Shijin Wang. Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing. WWW’2024: 1395-1406. [paper] [code]
- 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. [paper] [code]
- Sanshi Lei Yu, Qi Liu, Fei Wang, Yang Yu, Enhong Chen. Federated News Recommendation with Fine-grained Interpolation and Dynamic Clustering. CIKM’2023: 3073-3082. [paper]
- Zihang Chen, Mengxiao Zhu, Fei Wang, Shuanghong Shen, Zhenya Huang, Qi Liu. Long-Term and Short-Term Perception in Knowledge Tracing. CCF bigdata’2023: 1-15. [paper]
- Weibo Gao, Hao Wang, Qi Liu, Fei Wang, Xin Lin, Linan Yue, Zheng Zhang, Rui Lv, Shijin Wang. Leveraging transferable knowledge concept graph embedding for cold-start cognitive diagnosis. SIGIR’2023: 983-992. [paper] [code]
- Yu Yin, Le Dai, Zhenya Huang, Shuanghong Shen, Fei Wang, Qi Liu, Enhong Chen, Xin Li. Tracing Knowledge Instead of Patterns: Stable Knowledge Tracing with Diagnostic Transformer. WWW’2023: 855-864. [paper] [code]
- Jiatong Li, Fei Wang, Qi Liu, Mengxiao Zhu, Wei Huang, Zhenya Huang, Enhong Chen, Yu Su, Shijin Wang. HierCDF: A Bayesian Network-based Hierarchical Cognitive Diagnosis Framework. KDD’2022: 904-913. [paper] [code]
- Jie Huang, Qi Liu, Fei Wang, Zhenya Huang, Songtao Fang, Runze Wu, Enhong Chen, Yu Su, Shijin Wang. Group-level cognitive diagnosis: A multi-task learning perspective. ICDM’2021: 210-219. [paper]
- Yuqiang Zhou, Qi Liu, Jinze Wu, Fei Wang, Zhenya Huang, Wei Tong, Hui Xiong, Enhong Chen, Jianhui Ma. Modeling context-aware features for cognitive diagnosis in student learning. KDD’2021: 2420-2428. [paper] [code]
- Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yuying Chen, Yu Yin, Zai Huang, Shijin Wang. Neural cognitive diagnosis for intelligent education systems. AAAI’2020: 6153-6161. [paper] [code] [slide]
- Qian Dai, Jiahui Hou, Panlong Yang, Xiangyang Li, Fei Wang, Xumiao Zhang. The sound of silence: end-to-end sign language recognition using smartwatch. MobiCom’2017: 462-464. [paper]