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

科研项目

[1] 教育部社科司，教育部人文社会科学研究青年基金，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，项目负责人

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

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] 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.

[3] Jiandong Liu, Jianfeng Ren, Zheng Lu, Wentao He, Menglin Cui, Zibo Zhang, Ruibin Bai. Cross-document attention-based gated fusion network for automated medical licensing exam. Expert Systems with Applications (2022): 117588.

[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] 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.

[6] 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.

[7] Yang Zhang, Menglin Cui, Linlin Shen, and Zhigang Zeng. Memristive Fuzzy Deep Learning Systems. IEEE Transactions on Fuzzy Systems 29, no. 8 (2020): 2224-2238.

[8] 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. 

[9] 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.

[10] Yang Zhang, Menglin Cui, Yang Liu, and Linlin Shen. Hybrid CMOS-Memristive Convolutional Computation for on-Chip Learning. Neurocomputing 355 (2019): 48-56.

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