| 论文与作品 |
[1] Zhao, M., Zhang, S., Li, K., Zhang, Y., Wang, X., Chen, T., Ren, Y., Lu, Y*., & Wang, J*. (2026). Spatiotemporal prediction of sneeze pollutants in enclosed spaces: a CNN-LSTM approach validated by field measurements and CFD-Robotics arm twin system. Frontiers in Robotics and AI, 13, 1846010. [2] Kang, F., Li, W., Li, L., Zhou, Z., & Wang, J*. (2026). Graph-enhanced clustering of late modern churches via multi-dimensional semantic feature integration. npj Heritage Science, 14(1), 100. [3] Kang, F., Lin, H., Zhou, Z., Ren, Y., Li, X., & Wang, J*. (2026). Uncertainty-aware hybrid modeling for spatial thermal forecasting in historic buildings with incomplete structural information. Journal of Building Engineering, 115231. [4] Wang, J*., Miyata, S., Taniguchi, K., & Akashi, Y. (2025). Predicting indoor temperature distribution with low data dependency using recurrent neural networks. Journal of Asian Architecture and Building Engineering, 1–14. [5] Wang, J*., Mae, M., & Taniguchi, K. (2023). Risk Control of Energy Performance Fluctuation in Multi Unit Housing for Weather Uncertainty. Buildings, 13(7), 1616. [6] Wang, J*., Mae, M., & Taniguchi, K. (2022). Uncertainty modeling method of weather elements based on deep learning for robust solar energy generation of building. Energy and Buildings, 266, 112115. [7] Wang, J*., Mae, M., Taniguchi, K., Cheng, Y., Yagi, S., & Saito, K. (2021). Multi-phase framework for optimization of thermal and daylight performance of residential buildings based on the combination of ventilation and window design. Journal of Asian Architecture and Building Engineering, 20(6), 785–805. [8] Wang, J*., Mae, M., & Taniguchi, K. ディープラーニングに基づく気象不確実性確率分布の計算方法に関する研究, Architectural Institute of Japan 2021, Chiba, Japan, September 5–8, 2021. |
