杜洋伊
团队名称：智能控制与优化决策
团队介绍：致力于不确定优化、可解释机器学习和多目标优化与决策等方法的基础理论研究，同时从事流程工业智能优化制造、综合能源系统、智能交通、智慧医疗等领域的应用研究。
团队成员介绍：
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.