个人简介
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
近期论文
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[1] 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. (SCI, IF=4.098)
[2] Xiang Li, Menglin Cui (corresponding author), 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. (SCI, IF=5.719)
[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. (EI)
[4] Chaofan Tu, and Menglin Cui (corresponding author). 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. (EI)
[5] 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. (SCI, IF=8.665)
[6] 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. (SCI, IF=11.448)
[7] Yang Zhang, Menglin Cui, Linlin Shen, and Zhigang Zeng. Memristive Fuzzy Deep Learning Systems. IEEE Transactions on Fuzzy Systems (2020), doi: 10.1109/TFUZZ.2020.2995966. (SCI, IF=12.029)
[8] Yang Zhang, Zhongrui Wang, Jiadi Zhu, Yuchao Yang, Mingyi Rao, Wenhao Song, Ye Zhuo, Xumeng Zhang, Menglin Cui, Linlin Shen, Ru Huang, and J. Joshua Yang. Brain-Inspired Computing with Memristors: Challenges in Devices, Circuits and Systems. Applied Physics Reviews 7.1 (2020): 011308. (SCI, IF=190162)
[9] Yang Zhang, Menglin Cui, Yang Liu, and Linlin Shen. Hybrid CMOS-Memristive Convolutional Computation for on-Chip Learning. Neurocomputing 355 (2019): 48-56. (SCI, IF=5.719)