围绕钢铁生产工序流程长、工艺复杂、控制变量多等特点所导致的产品质量“建模难”与“优化难”的瓶颈问题，分别从进化驱动的质量建模、学习驱动的质量优化两个不同视角，在基于多目标进化学习的产品质量建模、基于数据与机理融合的产品质量优化方法、基于多任务协同的产品质量优化方法等方面进行深入研究。

代表性论文

• Wang XP, Wang Y (博士生), Tang LX^*. Multi-objective ensemble learning with multi-scale data for product quality prediction in iron and steel industry, IEEE Transactions on Evolutionary Computation, 2023, in press, DOI: 10.1109/TEVC.2023.3290172. (计算智能国际旗舰期刊, IF: 16.497, 中科院1区TOP)

• Wang XP, Hu TH (博士生), Tang LX^*. A multiobjective evolutionary nonlinear ensemble learning with evolutionary feature selection for silicon prediction in blast furnace, IEEE Transactions on Neural Networks and Learning Systems, 2022, 33(5): 2080-2093. (人工智能领域顶刊, IF: 14.255, 中科院1区TOP, JCR Q1)

• Wang XP, Wang Y (博士生), Tang LX. Strip hardness prediction in continuous annealing using multiobjective sparse nonlinear ensemble learning with evolutionary feature selection, IEEE Transactions on Automation Science and Engineering, 2022, 19(3): 2397-2411.  ( IF: 6.636, 中科院2区TOP, JCR Q1)

• Wang Y (博士生), Wang XP^*, Tang LX. Evolutionary modeling approach based on multiobjective genetic programming for strip quality prediction. Swarm and Evolutionary Computation, 2024, 86: 101519. (中科院SCI 1 区)

• Zhao TC, Wang XP, Song XM, Liu C. Crack detection of continuous casting slab by evolutionary topology backbone search. Applied Soft Computing, 2023, 146: 110663. (中科院SCI 1 区TOP)

• Wang Y  (博士生), Wang XP^*. A dual-population multiobjective co-evolutionary matching ensemble learning for product multi-indicator prediction in continuous annealing. Neurocomputing, 2024, 572: 127226. (中科院SCI 2区TOP, JCR 1区)

• Wang Z (博士生), Lu H, Shi YH, Wang XP. Lightweight CNN architecture design based on spatial-temporal tensor and its application in bearing fault diagnosis. IEEE Transactions on Instrumentation and Measurement, 2024, 73: 3504112. (中科院SCI 2 区TOP, JCR 1区)

• Liu QQ (博士生), Wang XP^*, Wang Y, Song XM. Evolutionary convolutional neural network for image classification based on multi-objective genetic programming with leader-follower mechanism, Complex & Intelligent Systems, 2023, 9: 3211-3228. (IF: 6.70, JCR Q1)

• Liu QQ (博士生), Wang XP^*, Song XM. Two-stage hybrid algorithm for recognition of industrial slab numbers with data quality improvement, Complex & Intelligent Systems, 2023, 9: 3367-3384. (IF: 6.70, 中科院SCI 2区, JCR Q1)

• Hu TH (博士生), Wang XP^*, Song XM. Blast furnace thermal state prediction based on multiobjective evolutionary ensemble neural networks. Journal of Sustainable Metallurgy, 2024, accepted, DOI: 10.1007/s40831-024-00785-7. (JCR 2 区)

• Wang Z (博士生), Wang XP^*. Multiobjective multifactorial operation optimization for continuous annealing production process. Industrial & Engineering Chemistry Research, 2019, 58(41): 19166-19178. (化工过程系统工程领域著名期刊, IF: 4.326, JCR Q2)

• Wang Y (博士生), Wang XP^*, Dong ZM, Wang Z. A data-driven multiobjective dynamic robust modeling and operation optimization for continuous annealing production process. ISIJ International, 2020, 60(6): 1225-1236. (钢铁冶金领域著名期刊, IF: 1.864, JCR Q3)

• Xia Q (博士生), Wang XP^*, Tang LX. Furnace operation optimization with hybrid model based on mechanism and data analytics. Soft Computing, 2019, 23: 9551-9571. (IF: 3.732, JCR Q2)

• Xia Q (博士生), Wang XP^*, Tang LX. Operation optimization of slab reheating process based on differential evolution. ISIJ International, 2016, 56(11): 2006-2015. (钢铁冶金领域著名期刊, IF: 1.864, JCR Q3)

• Chen L (博士生), Wang XP, Tang LX^*. Operation optimization in the hot-rolling production process, Industrial & Engineering Chemistry Research, 53(28): 11393-11410, 2014. (化工过程系统工程领域著名期刊, IF: 4.326, JCR Q2)

• Wang XP, Tang LX^*. Multiobjective operation optimization of naphtha pyrolysis process using parallel differential evolution, Industrial & Engineering Chemistry Research, 52(40): 14415-14428, 2013. (化工过程系统工程领域著名期刊, IF: 4.326, JCR Q2)