2025
[18] Ding, Y., Luo, X., Chang, L., Li, X., Han, W., & Dong, C. (2025). Enhanced performance of platinum coated titanium bipolar plates for proton exchange membrane water electrolyzer under diverse pH and temperature conditions. International Journal of Hydrogen Energy, 103, 576-588. (PDF)(DOI)
[17] Wang, C., Liu, K., Peng, J., Li, X., Liu, X., Zhang, J., & Niu, Z. (2025). High-precision energy consumption forecasting for large office building using a signal decomposition-based deep learning approach. Energy, 314, 133964. (PDF)(DOI)
[16] Gai, K., Yang, M., Chen, W., Hu, C., Luo, X., Smith, A., Xu, C., Zhang, H., Li, X., Shi, W., Sun, W., Lin, F., & Song, Y. (2025). Development of neural cells and spontaneous neural activities in engineered brain-like constructs for transplantation. Advanced Healthcare Materials, 14(1), 2401419. (PDF)(DOI)(COVER)
2024
[15] Lu, Z., Li, T., Zhang, J., Liu, M., Li, X., Cui, L., Chen, J., & Niu, Z. (2024). RisQNet: rescuing SMEs from financial shocks with a novel networked-loan risk assessment. Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI 2024), 7385-7393. (PDF)(DOI)
[14] Lv, H., Niu, Z., Han, W., & Li, X. (2024). Can GPT embeddings enhance visual exploration of literature datasets? A case study on isostatic pressing research. Journal of Visualization, 27, 1213-1226. (PDF)(DOI)
[13] Meng, F., Lu, Z., Li, X., Han, W., Peng, J., Liu, X., & Niu, Z. (2024). Demand-side energy management reimagined: A comprehensive literature analysis leveraging large language models. Energy, 291, 130303. (PDF)(DOI)
2023
[12] Li, X., Cui, L., Shonkwiler, S., & McMains, S. (2023). Automatic characterization of spherical metal powders by microscope image analysis: a parallel computing approach. Journal of Iron and Steel Research International, 30(11), 2293-2300. (PDF)(DOI)
[11] Shonkwiler, S., Li, X., Fenrich, R., & McMains, S. (2023). Deep reinforcement learning for stacking sequence optimization of composite laminates. Manufacturing Letters, 35, 1203-1213. (PDF)(DOI)
[10] Wang, D., Zhao, D., Liang, X., Li, X., & Lin, F. (2023). Multiple stages of smoking phenomenon in electron beam powder bed fusion process. Additive Manufacturing, 66, 103434. (PDF)(DOI)
[9] Li, X., & McMains, S. (2023). A Voronoi diagram approach for detecting defects in 3D printed fiber-reinforced polymers from microscope images. Computational Visual Media, 9(1), 41-56. (PDF)(DOI)
[8] Wu, J., Niu, Z., Li, X., Huang, L., Nielsen, P. S., & Liu, X. (2023). Understanding multi-scale spatiotemporal energy consumption data: A visual analysis approach. Energy, 263, 125939. (PDF)(DOI)
2022及之前
[7] Li, X., Cui, L., Li, J., Chen, Y., Han, W., Shonkwiler, S., & McMains, S. (2022). Automation of intercept method for grain size measurement: A topological skeleton approach. Materials & Design, 224, 111358. (PDF)(DOI)
[6] Li, X., Shonkwiler, S., & McMains, S. (2021). Detection of resin-rich areas for statistical analysis of fiber-reinforced polymer composites. Composites Part B: Engineering, 225, 109252. (PDF)(DOI)
[5] Li, X., Shonkwiler, S., & McMains, S. (2021, September). Fiber recognition in composite materials. In 2021 IEEE International Conference on Image Processing (ICIP) (pp. 2623-2627). IEEE. (PDF)(DOI)
[4] Li, X. (2021). Scalable geometric processing techniques with applications in characterizing additively manufactured composites. Doctoral dissertation, University of California, Berkeley. (PDF)(DOI)
[3] Li, X., Krishnamurthy, A., Hanniel, I., & McMains, S. (2019). Edge topology construction of Voronoi diagrams of spheres in non-general position. Computers & Graphics, 82, 332-342. (PDF)(DOI)
[2] Hu, Z., Li, X., Krishnamurthy, A., Hanniel, I., & McMains, S. (2017). Voronoi cells of non-general position spheres using the GPU. Computer-Aided Design and Applications, 14(5), 572-581. (PDF)(DOI)(CONF)
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