Fei Wang

According to our database, Fei Wang authored at least 24 papers between 2017 and 2024.

Collaborative distances:

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

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

Target hierarchy-guided knowledge tracing : Fine-grained knowledge state modeling.

Xinjie Sun, Kai Zhang, Shuanghong Shen, Fei Wang, Yuxiang Guo, Qi Liu

Expert Syst. Appl., 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

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

CoRR, 2024

A Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment.

Fei Wang, Haoyu Liu, Haoyang Bi, Xiangzhuang Shen, Renyu Zhu, Runze Wu, Minmin Lin, Tangjie Lv, Changjie Fan, Qi Liu, Zhenya Huang, Enhong Chen

CoRR, 2024

Unified Uncertainty Estimation for Cognitive Diagnosis Models.

Fei Wang, Qi Liu, Enhong Chen, Chuanren Liu, Zhenya Huang, Jinze Wu, Shijin Wang

Proceedings of the ACM on Web Conference 2024, 2024

Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm.

Jiatong Li, Qi Liu, Fei Wang, Jiayu Liu, Zhenya Huang, Fangzhou Yao, Linbo Zhu, Yu Su

Proceedings of the ACM on Web Conference 2024, 2024

Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing.

Liyang He, Zhenya Huang, Jiayu Liu, Enhong Chen, Fei Wang, Jing Sha, Shijin Wang

Proceedings of the ACM on Web Conference 2024, 2024

2023

A Probabilistic Framework for Temporal Cognitive Diagnosis in Online Learning Systems.

Jia-Yu Liu, Fei Wang, Haiping Ma, Zhenya Huang, Qi Liu, En-Hong Chen, Yu Su

J. Comput. Sci. Technol., December, 2023

NeuralCD: A General Framework for Cognitive Diagnosis.

Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yu Yin, Shijin Wang, Yu Su

IEEE Trans. Knowl. Data Eng., August, 2023

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 Trans. Learn. Technol., June, 2023

A generalized multi-skill aggregation method for cognitive diagnosis.

Suojuan Zhang, Song Huang, Xiaohan Yu, Enhong Chen, Fei Wang, Zhenya Huang

World Wide Web (WWW), March, 2023

Towards Long-term Annotators: A Supervised Label Aggregation Baseline.

Haoyu Liu, Fei Wang, Minmin Lin, Runze Wu, Renyu Zhu, Shiwei Zhao, Kai Wang, Tangjie Lv, Changjie Fan

CoRR, 2023

Identifiable Cognitive Diagnosis with Encoder-decoder for Modelling Students' Performance.

Jiatong Li, Qi Liu, Fei Wang, Jiayu Liu, Zhenya Huang, Enhong Chen

CoRR, 2023

Tracing Knowledge Instead of Patterns: Stable Knowledge Tracing with Diagnostic Transformer.

Yu Yin, Le Dai, Zhenya Huang, Shuanghong Shen, Fei Wang, Qi Liu, Enhong Chen, Xin Li

Proceedings of the ACM Web Conference 2023, 2023

Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive Diagnosis.

Weibo Gao, Hao Wang, Qi Liu, Fei Wang, Xin Lin, Linan Yue, Zheng Zhang, Rui Lv, Shijin Wang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

Federated News Recommendation with Fine-grained Interpolation and Dynamic Clustering.

Sanshi Lei Yu, Qi Liu, Fei Wang, Yang Yu, Enhong Chen

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

2022

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

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Group-Level Cognitive Diagnosis: A Multi-Task Learning Perspective.

Jie Huang, Qi Liu, Fei Wang, Zhenya Huang, Songtao Fang, Runze Wu, Enhong Chen, Yu Su, Shijin Wang

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Neural Cognitive Diagnosis for Intelligent Education Systems.

Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yuying Chen, Yu Yin, Zai Huang, Shijin Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Interpretable Cognitive Diagnosis with Neural Network for Intelligent Educational Systems.

Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang

CoRR, 2019

2017

Demo: The Sound of Silence: End-to-End Sign Language Recognition Using SmartWatch.

Qian Dai, Jiahui Hou, Panlong Yang, Xiang-Yang Li, Fei Wang, Xumiao Zhang

Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking, 2017