每年的科研成果
每年的科研成果
个人简介
与联合国可持续发展目标相关的专业知识
2015 年，联合国成员国同意 17 项可持续发展目标 (SDG)，以消除贫困、保护地球并确保全人类的繁荣。此人的工作有助于实现下列可持续发展目标：
指纹
深入其中 Lei Li 为活跃的研究主题。这些主题标签来自此人的成果。它们共同形成唯一的指纹。
- 8 相似简介
最近五年的合作关系和顶尖研究领域
最近的国家/地区级外部合作关系。点击圆点，以了解详细信息或
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Adaptive ensemble model-based approach for estimating failure probability function using global error measures with application in reliability optimization
Song, H., Lin, H., Zhou, C., Li, L. & Yue, Z., 15 6月 2025, 在: Engineering Structures. 333, 120166.科研成果: 期刊稿件 › 文章 › 同行评审
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A hybrid single-loop approach combining the target beta-hypersphere sampling and active learning Kriging for reliability-based design optimization
Hu, H., Wang, P., Chang, H., Yang, R., Yang, W. & Li, L., 6月 2025, 在: Aerospace Science and Technology. 161, 110136.科研成果: 期刊稿件 › 文章 › 同行评审
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Analysis of Differences in User Engagement Behavior on Multiple Chinese Public Libraries’ New Media Platforms
Wang, X., Liu, Z., Wu, Y. & Li, L., 2025, Sustainability and Empowerment in the Context of Digital Libraries - 26th International Conference on Asia-Pacific Digital Libraries, ICADL 2024, Proceedings. Oliver, G., Frings-Hessami, V., Du, J. T. & Tezuka, T. (编辑). Springer Science and Business Media Deutschland GmbH, 页码 149-155 7 页码 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 15494 LNCS).科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审
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A new fully decoupled strategy for reliability optimization based on adaptive Kriging with improved efficient global optimization and weighted K-means clustering
Song, H., Lin, H., Zhou, C., Li, L. & Yue, Z., 15 3月 2025, 在: Mechanical Systems and Signal Processing. 227, 112402.科研成果: 期刊稿件 › 文章 › 同行评审
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A random interval coupling-based active learning Kriging with meta-model importance sampling method for hybrid reliability analysis under small failure probability
Dong, S., Li, L., Yuan, T., Yu, X., Wang, P. & Jia, F., 1 6月 2025, 在: Computer Methods in Applied Mechanics and Engineering. 441, 117992.科研成果: 期刊稿件 › 文章 › 同行评审