崔梦林

职称/职务:讲师

主要研究领域:可解释人工智能、自然语言处理、机器学习

电子邮箱:mcui@usst.edu.cn

办公室:经管大楼A楼1108室

教育背景与工作经历

教育背景

博士,计算机科学,英国诺丁汉大学,2017-2022

硕士,美国罗彻斯特大学,2016-2017

学士,北京理工大学,2012-2016


教研项目及成果

科研项目

[1]国家社会科学基金青年项目,全国哲学社会科学工作办公室,25CKX001,生成式人工智能基层医疗应用能力及风险防范研究,2025.09–2028.08,在研,主持

[2]教育部人文社会科学研究青年基金,教育部社科司,24YJCZH035,面向基层医疗的语言模型可解释及可控生成研究,2024.04–2027.12,在研,主持

[3]国家自然科学基金面上项目,国家自然科学基金委员会,人工智能驱动的多模态融合网络舆情扩散机理与协同管控策略研究,2025.09–2028.08,在研,参与

[4]教育部人文社会科学研究青年基金,教育部社科司,23YJCZH281,基于可解释和公平视角的可信推荐方法研究,2023.04–2026.12,在研,参与


学术论文

[1] Menglin Cui, Xiang Li, and Peng Qin. Explainable Knowledge-Based Learning for Online Medical Question Answering. In 2024 International Conference on Knowledge Science, Engineering and Management (KSEM), pp. 294-304.

[2] Menglin Cui, Ruibin Bai, Zheng Lu, Xiang Li, Uwe Aickelin, Peiming Ge. Regular Expression Based Medical Text Classification Using Constructive Heuristic Approach. IEEE Access 7 (2019): 147892-147904. 

[3] Menglin Cui, and Yang Zhang. Memristive Synaptic Circuits for Deep Convolutional Neural Networks. In 2019 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-5. IEEE, 2019.

[4] Xiang Li, Menglin Cui*, Jingpeng Li, Ruibin Bai, Zheng Lu, and Uwe Aickelin. A Hybrid Medical Text Classification Framework: Integrating Attentive Rule Construction and Neural Network. Neurocomputing 433 (2021): 345-355.

[5] Zhihao Qin, and Menglin Cui*. Annual Report Tone and Divergence of Opinion: Evidence from Textual Analysis. Journal of Applied Economics 27.1 (2024): 2354641. 

[6] Zhihao Qin, Menglin Cui*, Jiaqi Yan, and Jie Niu. Managerial Sentiment and Corporate Risk-taking: Evidence from Chinese Listed Companies’ Annual Reports. Management Research Review 47.4 (2024): 485-511. 

[7] Chaofan Tu, and Menglin Cui*. Learning Regular Expressions for Interpretable Medical Text Classification Using a Pool-based Simulated Annealing Approach. In 2020 IEEE Congress on Evolutionary Computation (CEC), pp. 1-7. IEEE, 2020.

[8] Yang Zhang, Menglin Cui, Linlin Shen, and Zhigang Zeng. Memristive Quantized Neural Networks: A Novel Approach to Accelerate Deep Learning on-Chip. IEEE Transactions on Cybernetics 51 (2021): 1875-1887.

[9] Yang Zhang, Menglin Cui, Linlin Shen, and Zhigang Zeng. Memristive Fuzzy Deep Learning Systems. IEEE Transactions on Fuzzy Systems 29. 8 (2020): 2224-2238.

[10] Peng Qin, Quanyi Hu, and Menglin Cui. Towards machine-readable semantic-based E-business contract representations using Network of Timed Automata (NTA). Future Generation Computer Systems 158 (2024): 457-471.


主讲课程

机器学习

机器学习课程设计

人工智能综合应用

人工智能综合实验

自然语言处理实验

Python应用

学术活动与社会服务


荣誉