个人简介
欢迎报考硕士研究生、欢迎有自驱力的本科生加入，如有意向请通过邮件发送简历给我。
个人简介
刘菲，博士，硕士生导师。主要研究领域包括数据挖掘与智慧教育等，在国际期刊(IEEE Trans.和ACM Trans. 汇刊)和会议(KDD、NeurIPS等)上发表论文数篇，获发明专利授权数项。安徽省高等学校计算机教育研究会研究生教育专业委员会委员。IEEE TLT、IEEE TCSS、IEEE TBD、IEEE TETCI、FCS等期刊审稿人；KDD、AAAI、WWW、CIKM、RecSys等国际会议的程序委员会委员。
News
我们开源了EduStudio认知建模算法库，欢迎大家使用 EduStudio is a Unified Library for Student Cognitive Modeling including Cognitive Diagnosis(CD) and Knowledge Tracing(KT) based on Pytorch. https://edustudio.ai/
代表论文
#FCS 2024, CCF B# Le Wu, Xiangzhi Chen(📪), Fei Liu(📪), Junsong Xie, Chenao Xia, Zhengtao, Tan, Mi Tian, Jinglong Li, Kun Zhang, Defu Lian, Richang Hong, Meng Wang. EduStudio: Towards a Unified Library for Student Cognitive Modeling. Front. Comput. Sci., https://doi.org/10.1007/s11704-024-40372-3
#ACM TOIS 2024, CCF A# Fei Liu, Chenyang Bu, Haotian Zhang, Le Wu, Kui Yu, and Xuegang Hu. 2024. FDKT: Towards an Interpretable Deep Knowledge Tracing via Fuzzy Reasoning. ACM Trans. Inf. Syst. 42, 5, Article 139 (September 2024), 26 pages.
#KDD 2023, CCF A# Fei Liu, Xuegang Hu, Shuochen Liu, Chenyang Bu, and Le Wu. 2023. Meta Multi-agent Exercise Recommendation: A Game Application Perspective. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '23).
#NIPS 2023, CCF A# Xiangzhi Chen, Le Wu, Fei Liu, Lei Chen, Kun Zhang, Richang Hong, and Meng Wang. Disentangling cognitive diagnosis with limited exercise labels. In Proceedings of the 37th International Conference on Neural Information Processing Systems (NIPS '23).
#IEEE TFS 2023, CAA A# Fei Liu, Xuegang Hu, Chenyang Bu, and Kui Yu. 2022. Fuzzy Bayesian Knowledge Tracing. Trans. Fuz Sys. 30, 7 (July 2022), 2412–2425.
#IEEE TETCI 2023, CAAI B# Chenyang Bu, Fei Liu, Zhiyong Cao, Lei Li, Yuhong Zhang, Xuegang Hu, and Wenjian Luo. Cognitive diagnostic model made more practical by genetic algorithm. in IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 7, no. 2, pp. 447-461, April 2023.
#计研发, CCF A# 胡学钢, 刘菲, 卜晨阳. 教育大数据中认知跟踪模型研究进展[J]. 计算机研究与发展, 2020, 57(12): 2523-2546.
#PRICAI 2022# Haotian Zhang, Chenyang Bu (📪), Fei Liu (📪), Shuochen Liu, Yuhong Zhang, and Xuegang Hu. APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing, in Proceedings of Pacific Rim International Conference on Artificial Intelligence (PRICAI). Springer, Cham, 13629 (1), 2022, 353-365.
#ICONIP 2022# Rui Luo, Fei Liu, Wenhao Liang, Yuhong Zhang, Chenyang Bu, and Xuegang Hu. DAGKT: Difficulty and attempts boosted graph-based knowledge tracing, in Proceedings of International Conference on Neural Information Processing (ICONIP).2022.
#PRICAI 2021# Chenyang Bu, Yi Lu, and Fei Liu (📪). 2021. Automatic Graph Learning with Evolutionary Algorithms: An Experimental Study. In PRICAI 2021: Trends in Artificial Intelligence: 18th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2021, Hanoi, Vietnam, November 8–12, 2021
#中科院2区, 2019# Zhenchun Wei, Fei Liu, Yan Zhang, Juan Xu, Jianjun Ji, Zengwei Lyu. A Q-learning Algorithm for Task Scheduling Based on Improved SVM in Wireless Sensor Networks. Computer Networks 2019, 161: 138-149.
#GLOBECOM 2019# Fei Liu, Zhenchun Wei, Zhensheng Huang, Yang Lu, Xuegang Hu, and Lei Shi. 2019. A Multi-Grouped LS-SVM Method for Short-Term Urban Traffic Flow Prediction. In 2019 IEEE Global Communications Conference (GLOBECOM).
#WASA 2018# Zhenchun Wei, Fei Liu, Zengwei Lyu, Xu Ding, Lei Shi, and Chengkai Xia. Reinforcement Learning for a Novel Mobile Charging Strategy in Wireless Rechargeable Sensor Networks, in Proceedings of International Conference on Wireless Algorithms, Systems, and Applications (WASA). Springer, Cham, 2018: 485-496.
发明专利
中国发明专利. 授权. 刘菲，卜晨阳，孙帅，胡学钢. CN113221007A.答题行为推荐方法. 2021.08.06
中国发明专利. 授权. 胡学钢，刘菲，卜晨阳等. CN201711081873.X.一种面向学生认知过程的认知诊断方法. 2021.06.29
中国发明专利. 授权. 魏振春，刘菲，吕增威等. CN201811081743. 一种无线可充电传感器网络聚类分簇路由方法. 2019.08.30
本科生指导
计算机与信息学院大学生创新活动基地团队 （https://ci.hfut.edu.cn/info/1063/14881.htm）
学生去向：
张译中 2021级智能科学与技术专业 保研至USTC, BASE Group (https://base.ustc.edu.cn/)
刘朔辰 2020级智能科学与技术创新实验班 保研至USTC, MINE Group (http://staff.ustc.edu.cn/~tongxu/index_zh.html#top)
张浩天 2019级计算机科学与技术创新实验班 保研至USTC, BASE Group (https://base.ustc.edu.cn/)
学生论文：
[6] Weipu Chen（2020级本科生）, Zhuangzhuang He and Fei Liu (📪). “When SparseMoE Meets Noisy Interactions: An Ensemble View on Denoising Recommendation.” (2024). https://arxiv.org/abs/2409.12730 已投稿CCF B类国际会议
[5] Fei Liu, Xuegang Hu, Shuochen Liu（2020级本科生）, Chenyang Bu, and Le Wu. 2023. Meta Multi-agent Exercise Recommendation: A Game Application Perspective. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '23). CCF A类国际会议
[4] Fei Liu, Chenyang Bu, Haotian Zhang（2019级本科生）, Le Wu, Kui Yu, and Xuegang Hu. 2024. FDKT: Towards an Interpretable Deep Knowledge Tracing via Fuzzy Reasoning. ACM Trans. Inf. Syst. 42, 5, Article 139 (September 2024), 26 pages. CCF A类国际期刊
[3] Rui Luo, Fei Liu, Wenhao Liang（2020级本科生）, Yuhong Zhang, Chenyang Bu, and Xuegang Hu. DAGKT: Difficulty and attempts boosted graph-based knowledge tracing, in Proceedings of International Conference on Neural Information Processing (ICONIP).2022. CCF C类国际会议
[2] Chenyang Bu, Yi Lu（2018级本科生）, and Fei Liu (📪). 2021. Automatic Graph Learning with Evolutionary Algorithms: An Experimental Study. In PRICAI 2021: Trends in Artificial Intelligence: 18th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2021, Hanoi, Vietnam, November 8–12, 2021 CCF C类国际会议
[1] Haotian Zhang (2019级本科生), Chenyang Bu (📪), Fei Liu (📪), Shuochen Liu（2020级本科生）, Yuhong Zhang, and Xuegang Hu. APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing, in Proceedings of Pacific Rim International Conference on Artificial Intelligence (PRICAI). Springer, Cham, 13629 (1), 2022, 353-365. CCF C类国际会议
学生专利：
中国发明专利. 受理. 张译中（2021级本科生），刘菲，杨骐任（2022级本科生），吴乐，洪日昌. 一种基于提示技术的跨领域认知诊断方法. 202411322300.1 . 2024.9.23
中国发明专利. 授权. 卜晨阳，张浩天(2019级本科生)，刘菲等. CN113344204A. 多重逻辑问题的认知数据处理方法及装置. 2021.09.03
科研项目：
国家自然科学基金委青年项目
中国博士后科学基金第76批面上资助2024年度安徽省博士后研究人员资助计划
中央高校基本科研业务费专项资金项目
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