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杜洋伊

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2022级博士研究生,主要从事神经架构搜索、强化学习、特征选择等方面的理论研究工作,及流程工业过程智能监控、AI辅助医学诊断等应用研究,目前已发表的论文有:

[1] Y Du, X Zhou, et al.  A hierarchical evolution of neural architecture search method based on state transition algorithm[J]. International Journal of Machine Learning and Cybernetics, 2023, 14: 2723–2738. 

[2]  Y Du, X Zhou, et al. An interactive feature selection method based on multi-step state transition algorithm for high-dimensional data[J]. Knowledge-Based Systems, 2023: 111102.

[3]  Y Du, X Zhou, et al. A deep reinforcement learning-based feature selection method for invasive disease event prediction using imbalanced follow-up data[J].  IEEE Journal of Biomedical and Health Informatics, 2024, accepted. 

[4] X Zhou, M Li, Y Du*,  et al. Interpretable Multi-objective Feature Selection via Visualization in Froth Flotation Process[J].  IEEE Transactions on Industrial Informatics, 2024,  accepted. 

  • Michael X Zhou
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