祝贺!团队成员萧星宇的研究工作在评选中脱颖而出,入选推荐名单

Congratulations! Team member Xingyu Xiao’s research stood out in the selection process and was included in the Recommended Paper List.

发布日期:2025年08月11日

2025年8月9日-2025年8月10日,在第六届中国“双法”研究会风险管理分会学术年会暨2025年清华大学质量与可靠性研究院年会论文评选活动中,团队成员萧星宇提交的研究成果成功入选推荐名单(19/83),充分展现了我团队在人工智能与管理交叉领域的研究实力与学术影响力。 本次评选汇聚了来自国内外高校、科研院所及产业界的高水平研究成果,旨在推动人工智能技术在管理科学中的创新应用与理论发展。经过专家评审与严格遴选,团队的论文《InSight-R: A Dynamic Knowledge Graph-Based Approach for Human Reliability Analysis of interface-Induced Error》以其创新性、学术价值及应用前景获得高度认可,最终成功入围推荐名单。 该研究成果不仅体现了团队在人工智能驱动的管理决策、优化及数据智能分析方面的持续探索,也为行业在智能化转型中的理论指导与实践落地提供了有益借鉴。 **萧星宇**在接受采访时表示:“感谢各位评审专家和前辈的肯定,也感谢会务组老师们的辛勤付出。这不仅是对我们团队阶段性成果的认可,也是激励我们在未来继续深耕交叉领域、产出更多高质量科研成果的动力。”

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August 9–10, 2025 — At the paper selection event held during the 6th China “Shuangfa” Research Society Risk Management Branch Academic Annual Conference and the 2025 Tsinghua University Institute for Quality and Reliability Annual Meeting, the research work submitted by Xingyu Xiao, a member of our team, was successfully selected for the Recommended Paper List, ranking 19th out of 83 submissions. This recognition underscores our team’s strong research capabilities and academic influence in the interdisciplinary field of artificial intelligence and management. The selection brought together high-quality research contributions from universities, research institutes, and industry organizations worldwide, with the goal of advancing innovative applications and theoretical developments in the integration of AI and management science. Following rigorous expert review and evaluation, the team’s paper, InSight-R: A Dynamic Knowledge Graph-Based Approach for Human Reliability Analysis of Interface-Induced Error, was commended for its innovation, academic value, and application potential, earning a place on the prestigious list. This research exemplifies the team’s ongoing commitment to advancing AI-driven decision-making, optimization, and intelligent data analytics, while offering valuable theoretical guidance and practical insights for industries undergoing digital and intelligent transformation. Reflecting on the achievement, Xingyu Xiao remarked: “I am deeply grateful for the recognition from the review experts and senior scholars, as well as for the hard work of the conference organizers. This acknowledgment not only affirms our team’s progress to date but also motivates us to continue deepening our work in interdisciplinary research and to produce more high-quality scientific contributions in the future.”