主要论文：
[1]Xue W, Tang Z, Cao S, et al. A novel online method incorporating computational fluid dynamics simulations and neural networks for reconstructing temperature field distributions in coal-fired boilers[J]. Energy, 2024, 286: 129568.
[2]Xue W, Lu Y, Wang Z, et al. Reconstructing near-water-wall temperature in coal-fired boilers using improved transfer learning and hidden layer configuration optimization[J]. Energy, 2024: 130860.
[3]Xue W, Tang Z, Cao S, et al. Efficient online prediction and correction of 3D combustion temperature field in coal-fired boilers using GDNN[J]. Measurement, 2023, 222: 113507.
[4]Wang Z, Xue W, Li K, et al. Dynamic combustion optimization of a pulverized coal boiler considering the wall temperature constraints: A deep reinforcement learning-based framework[J]. Applied Thermal Engineering, 2025, 259: 124923.
[5]Tang Z, Sui M, Wang X, Xue W ,et al. Theory-guided deep neural network for boiler 3-D NOx concentration distribution prediction[J]. Energy, 2024, 299: 131500.
[6]Wang Z, Zhou H, Peng X, Cao S, Tang Z, Li K, Fan S, Xue W et al. A predictive model with time-varying delays employing channel equalization convolutional neural network for NOx emissions in flexible power generation[J]. Energy, 2024, 306: 132495.
[7]Wang Z, Yao G, Xue W, et al. A Data-Driven Approach for the Ultra-Supercritical Boiler Combustion Optimization Considering Ambient Temperature Variation: A Case Study in China[J]. Processes, 2023, 11(10): 2889.
