白瑞斌

系主任，理工学院人工智能与优化团队带头人，宁波数字港口技术重点实验室主任，计算机系教授

计算机科学系 / 理工学院

在科研信息系统上查看完整简介（英文）

博士学位 英国诺丁汉大学

硕士学位 西北工业大学

学士学位 西北工业大学

白瑞斌，宁波诺丁汉大学计算机科学教授、系主任，博导，宁波市数字港口重点实验室主任，国际SCI期刊EJOR、Networks编委。入选浙江省基金“杰出青年基金”项目，华为军团难题挑战赛“火花奖”获得者，研究领域包括计算智能、组合优化、强化学习、数字孪生等，在包括INFORMS JoC、IEEE TEVC、IEEE TMM、TR Part B、EJOR等期刊和CCF A/B等会议发表论文110余篇。先后主持科研项目20余项，科研总经费1400余万元，培养毕业博士生10余名，带领团队研发了基于N-ToS的集装箱码头自动车辆调度、港区集装箱公路铁路综合运输优化、码头智慧大屏、港口数字孪生、汽车零部件环境效益评价（LCA）等软硬件系统5套。部分系统并在宁波港、平安好医生等实现商用。

代表性论文 (*通讯作者)

• Chen, X., Bai, R.*, Qu, R., Dong, J., & Jin, Y. (2024). Deep reinforcement learning assisted genetic programming ensemble hyper-heuristics for dynamic scheduling of container port trucks. IEEE Transactions on Evolutionary Computation. Advance online publication. https://doi.org/10.1109/tevc.2024.3381042
• Zhang, J., Yang, X., He, W., Ren, J., Zhang, Q., Zhao, Y., Bai, R., He, X., & Liu, J. (2024). Scale optimization using evolutionary reinforcement learning for object detection on drone imagery. AAAI2024, 38(1), 410-418. https://doi.org/10.1609/aaai.v38i1.27795
• TU, C., Bai, R.*, Aickelin, U., ZHANG, Y., & Du, H. (2023). A deep reinforcement learning hyper-heuristic with feature fusion for online packing problems. Expert Systems with Applications, 230, 120568. https://doi.org/10.1016/j.eswa.2023.120568
• Bai, R.*, Chen, X., Chen, Z.-L., Cui, T., Gong, S., et al. (2023). Analytics and machine learning in vehicle routing research. International Journal of Production Research, 61(1), 4-30. Advance online publication. https://doi.org/10.1080/00207543.2021.2013566
• Jin, J., Cui, T., Bai, R., & Qu, R. (2023). Container port truck dispatching optimization using Real2Sim based deep reinforcement learning. European Journal of Operational Research, 315(1), 161-175. Advance online publication. https://doi.org/10.1016/j.ejor.2023.11.038, https://doi.org/10.1016/j.ejor.2023.11.038
• Song, X., Jin, J., Yao, C., Wang, S., Ren, J., & Bai, R. (2023). Siamese-Discriminant Deep Reinforcement Learning for Solving Jigsaw Puzzles with Large Eroded Gaps. AAAI2023, 2303-2311.
• Zhang, Y., Xi, R., Zeng, L., Towey, D., Bai, R., Higashita, R., & Liu, J. (2023). Structural priors guided network for the corneal endothelial cell segmentation. IEEE Transactions on Medical Imaging, 43(1), 1. https://doi.org/10.1109/TMI.2023.3300656.
• Chen, X., Bai, R.*, Qu, R., & Dong, H. (2022). Cooperative double-layer genetic programming hyper-heuristic for online container terminal truck dispatching. IEEE Transactions on Evolutionary Computation, 27(5), 1220-1234. https://doi.org/10.1109/TEVC.2022.3209985
• Jiang, R. Bai*, J. Ren, J. Li, and G. Kendall, Lagrange dual bound computation for stochastic service network design, European Journal of Operational Research, vol. 302, no.3, pp. 1097-1112, 2022.
• Y Zhang, Bai*, R Qu, C Tu, J Jin. A Deep Reinforcement Learning Based Hyper-heuristic for Combinatorial Optimisation with Uncertainties. European Journal of Operational Research, vol. 300 no. 2, pp. 418-427, 2022.
• Bai*, X. Chen, Z.-L. Chen, T. Cui, S. Gong, W. He, X. Jiang, H. Jin, J. Jin, G. Kendall, et al., Analytics and machine learning in vehicle routing research, International Journal of Production Research, , 2022.
• Zhang, R. Bai*, R. Qu, C. Tu, and J. Jin, A deep reinforcement learning based hyper-heuristic for combinatorial optimisation with uncertainties, European Journal of Operational Research, vol. 300, no. 2, pp. 418-427, 2022.
• Xue, R. Bai*, R. Qu, and U. Aickelin, A hybrid pricing and cutting approach for the multi-shift full truckload vehicle routing problem, European Journal of Operational Research, vol. 292, no. 2, pp. 500-514, 2021.
• Jiang, R. Bai*, S. W. Wallace, G. Kendall, and D. Landa-Silva, Soft clustering-based scenario bundling for a progressive hedging heuristic in stochastic service network design, Computers & Operations Research, vol. 128, p. 105182, 2021.
• Li, R. Bai*, Y. Shen, and R. Qu, Search with evolutionary ruin and stochastic rebuild: A theoretic framework and a case study on exam timetabling, European Journal of Operational Research, vol. 242, no. 3, pp. 798-806, 2015.
• Bai*, N. Xue, J. Chen, and G. W. Roberts, A set-covering model for a bidirectional multi-shift full truckload vehicle routing problem, Transportation Research Part B: Methodological, vol. 79, pp. 134-148, 2015.
• Bai*, S. W. Wallace, J. Li, and A. Y.-L. Chong, Stochastic service network design with rerouting, Transportation Research Part B: Methodological, vol. 60, pp. 50-65, 2014.
• Bai*, G. Kendall, R. Qu, and J. A. Atkin, Tabu assisted guided local search approaches for freight service network design, Information Sciences, vol. 189, pp. 266-281, 2012.
• Bai*, E. K. Burke, G. Kendall, J. Li, and B. McCollum, A hybrid evolutionary approach to the nurse rostering problem, IEEE Transactions on Evolutionary Computation, vol. 14, no. 4, pp. 580-590, 2010.
• Bai* and G. Kendall, A model for fresh produce shelf-space allocation and inventory management with freshness-condition-dependent demand, INFORMS Journal on Computing, vol. 20, no. 1, pp. 78-85, 2008.