2022级博士研究生（已毕业），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. 

[5] Y Du, X Zhou, et al. Broad Reinforcement Learning based Adaptive State Transition Algorithm for Global Optimization[J]. Swarm and Evolutionary Computation, 2025, accepted. 

[6] Y Du, X Zhou, et al. A Knowledge-Enhanced Multi-Branch Reinforcement Learning for High-Dimensional Feature Selection[J]. IEEE Transactions on Systems, Man and Cybernetics: Systems, 2026, accepted.