邱引桂，博士，特聘副教授

连续入选2025、2026全球前2%顶尖科学家榜单

地址：中国.湖北.武汉.雄楚大街693号，武汉工程大学，资源与安全工程学院，兴发矿业学院

邮编：430074

邮箱：ygqiu@wit.edu.cn

学术兼职：

受邀担任《Scientific Reports》期刊编委

教育背景：

2022.09至2026.06 中南大学，矿业工程，博士

2019.09至2022.06 中南大学，矿业工程，硕士

2015.09至2019.06 湘潭大学，采矿工程，学士

工作履历：

2026.07至今 武汉工程大学，资源与安全工程学院，特聘副教授

研究领域：

深部岩体结构病害多维表征、极端条件下工程地质灾害预警、深地灾害风险评价及智能预测

学术成果：

科研项目：

[1] 国家自然科学基金面上项目，No.42177164，主要参与人

[2] 国家自然科学基金面上项目，No. 52474121，主要参与人

[3] 湖南省教育厅优秀青年项目，No.23B0008，主要参与人

[4] 湖南省杰出青年基金，No.2022JJ10073，主要参与人

[5] 湖南省教育厅重点项目，No.25A0011，主要参与人

[6] 中南大学校企联合项目，No.1053320213104，主持

代表性论文：

[1] Qiu, Y., Zhou, J., & Li, C. (2026). Autonomous fracture trace characterization in underground hard-rock environments via a multi-scale hierarchical transformer network. Rock Mechanics and Rock Engineering, 59(2), 1827-1849. (SCI Q1 TOP)

[2] Qiu, Y., & Zhou, J. (2025). Methodology for constructing explicit stability formulas for hard rock pillars: integrating data-driven approaches and interpretability techniques. Rock Mechanics and Rock Engineering, 58(5), 5475-5502. (SCI Q1 TOP)

[3] Qi, H., Qiu, Y.#, & Zhou, J. (2026). Pillar stability assessment in deep mining using a stacked ensemble model with interpretable features. Rock Mechanics and Rock Engineering, 1-28. (SCI Q1 TOP)

[4] Qiu, Y., Zhou, J., He, B., Armaghani, D. J., Huang, S., & He, X. (2024). Evaluation and interpretation of blasting-induced tunnel overbreak: using heuristic-based ensemble learning and gene expression programming techniques. Rock Mechanics and Rock Engineering, 57(9), 7535-7563. (SCI Q1 TOP)

[5] Zhou, J., Shen, X., Qiu, Y., Shi, X., & Du, K. (2023). Microseismic location in hardrock metal mines by machine learning models based on hyperparameter optimization using bayesian optimizer. Rock Mechanics and Rock Engineering, 56(12), 8771-8788. (SCI Q1 TOP)

[6] Zhou, J., Shen, X., Qiu, Y., Shi, X., & Khandelwal, M. (2022). Cross-correlation stacking-based microseismic source location using three metaheuristic optimization algorithms. Tunnelling and Underground Space Technology, 126, 104570. (SCI Q1 TOP)

[7] Zhou, J., Zhu, S., Qiu, Y.#, Armaghani, D. J., Zhou, A., & Yong, W. (2022). Predicting tunnel squeezing using support vector machine optimized by whale optimization algorithm. Acta Geotechnica, 17(4), 1343-1366. (SCI Q1 TOP)

[8] Qiu, Y., Zhou, J., Khandelwal, M., Yang, H., Yang, P., & Li, C. (2022). Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration. Engineering with Computers, 4145-4162. (SCI Q1 TOP)

[9] Zhou, J., Qiu, Y., Armaghani, D. J., Zhang, W., Li, C., Zhu, S., & Tarinejad, R. (2021). Predicting TBM penetration rate in hard rock condition: A comparative study among six XGB-based metaheuristic techniques. Geoscience Frontiers, 12(3), 101091. (SCI Q1 TOP)

[10] Qiu, Y., & Zhou, J. (2023). Short-term rockburst damage assessment in burst-prone mines: An explainable XGBOOST hybrid model with SCSO algorithm. Rock Mechanics and Rock Engineering, 56(12), 8745-8770. (SCI Q1 TOP)

[11] Qiu, Y., & Zhou, J. (2023). Short-term rockburst prediction in underground project: insights from an explainable and interpretable ensemble learning model. Acta Geotechnica, 18(12), 6655-6685. (SCI Q1 TOP)

[12] Qiu, Y., Li, C., Huang, S., Ma, D., & Zhou, J. (2024). An ensemble model of explainable soft computing for failure mode identification in reinforced concrete shear walls. Journal of Building Engineering, 82, 108386. (SCI Q1 TOP)

获奖情况：

[1] 中国科协青年人才托举工程博士专项计划，2024

[2] 中国百篇最具影响国际学术论文，2022

[3] 斯坦福全球前2%顶尖科学家榜单，2025，2026

[4] 湖南省优秀毕业生，2026

[5] 中南大学优秀硕士论文，2023

[6] 中南大学校长奖学金-拔尖奖，2025