教育背景

2013.09-2017.07  西安建筑科科技大学本科生

2018.09-2025.09  西安交通大学博士研究生

2023.11-2024.11  瑞典皇家理工学院

工作经历

2026.01-至今    西安建筑科技大学准聘副教授

图神经网络，大语言模型，物理智能，智能控制，智能运维

1.技术骨干/西交课题联系人 国家重点研发计划项目课题“基于深度机器学习的制造企业智能决策与预测运营技术研究”（编号：No.2019YFB1705403)。全程深度参与项目申报、核心技术研发、工程化部署及绩效评估，积累了国家级重点项目的组织管理、技术攻关、产业化落地及评估优化等多方面能力。项目推进过程中，与中核二院、福清核电、中电十所、上海阿波罗、南方科技大学等单位开展50余次技术交流与研讨，围绕智能制造、深度学习、预测运营与工业智能化，推动项目成果的行业落地与应用。

2.技术骨干 中核集团领创科研项目“核电厂关键设备故障预测与健康管理平台研发”（编号：J201912021-011）。负责关键技术研发、系统架构设计和应用验证，推动核电厂关键设备的智能运维与健康管理。

3.技术骨干 国家科技重大专项“航空发动机和燃气轮机”专项课题：****表面辐射噪声预测与传递路径分析技术（编号：J2019-II-0013-0033）。主导传递路径分析（OTPA）相关技术的课题申报及方案设计

4.技术骨干 教育部联合基金项目：面向**减振降噪结构设计的壳体装备噪声综合评估技术（编号：MKF20210014

1.Wei Cheng*, Le Zhang, et al. Three-types-of-graph-relational guided domain adaptation approach for fault diagnosis of nuclear power circulating water pump. IEEE Transactions on Industrial Informatics, vol. 20, no. 2, pp. 1348-1359, 2024. (中科院一区Top，IF：11.7)

2.Le Zhang, Wei Cheng*, et al. Spatial-Temporal Graph Conditionalized Normalizing Flows for Adaptive Multivariate Industrial Anomaly Detection. IEEE Transactions on Industrial Informatics, vol. 20, no. 11, pp. 12945-12957, 2024. (中科院一区Top，IF：11.7)

3.Le Zhang, Wei Cheng*, et al. How Large AI Model Empowers Time Series Forecasting for the Operation and Maintenance of Industrial Automation System? IEEE Transactions on Industrial Informatics, 2025. (中科院一区Top，IF：11.7)

4.Le Zhang, Wei Cheng*, et al. Action Prompt Assimilation in Large Language Models for Time Series Forecasting in Industrial Systems. Advanced Engineering Informatics, 2025. (中科院一区Top期刊，IF：8.2)

5.Le Zhang, Wei Cheng*, et al. Self-supervised variational graph autoencoder for system-level anomaly detection. IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-11, Oct. 2023. (中科院二区Top期刊，IF：5.6）

6.Le Zhang, Wei Cheng*, et al. Deep graph network-driven multi-level anomaly detection method for complex systems. Journal of Vibration, Measurement & Diagnosis, (振动、测试与诊断) vol. 45, no. 1, pp. 88-94, 2025. (EI, 中文重点期刊)

7.Le Zhang, Wei Cheng*, Liu Xue, et al. System-level Anomaly Detection for Nuclear Power Plants Using Variational Graph Auto-encoders. 2021 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC), Weihai, China, 13-15 Aug, 2021, 180-185. (EI, 国际会议)

8.Le Zhang, Shuo Zhang, et al. Graph Attention-Based Interpretable Deviation Network for Circulating Water Pump Situational Awareness. In IEEE International Conference on Industrial Informatics (INDIN 2025), July 12–15, 2025, Kunming, China. (EI, IEEE顶会)

9.Wei Cheng*, Song Wang, Le Zhang, et al. Unsupervised Planetary Gearbox Fault Detection for Nuclear Circulating Water Pump based on Generalized Features. IEEE Transactions on Instrumentation and Measurement, 2024. (中科院二区Top期刊，IF：5.6）

10.Shushuai Xie, Wei Cheng*, Le Zhang, et al. AAKR-SPRT method for anomaly detection of multi-source sensors in multi-loop systems . Journal of Vibration, Measurement & Diagnosis, 2023. (EI, 中文重点期刊)

11.Xue Liu, Wei Cheng*, Le Zhang, et al. An intelligent hybrid bearing fault diagnosis method based on transformer and domain adaptation; The 2021 International Conference on Sensing, Diagnostics, Prognostics, and Control, Weihai, China, August 13-15, 2021, 304-310. (EI, 国际会议)

12.Shuo Zhang, Xintong Ma, Wei cheng, Ji xing, Le Zhang, et al. Integration of Multi-Relational Graph Oriented Fault Di-agnosisMethod for Nuclear Power Circulating Water Pumps, CMMNO, 2024. (EI，国际会议，最佳论文奖)

13.Shuo Zhang, Xintong Ma, Zelin Nie, Ji xing, Le Zhang, et al. Integration of Multi-Relational Graph Oriented Fault Di-agnosisMethod for Nuclear Power Circulating Water Pumps. Measurement, 2024. (中科院二区期刊，影响因子：5.2）

1.IEEE Transactions on Industrial Cyber-Physical Systems期刊Guest Editor

2.IEEE Transactions on Industrial Informatics、IEEE Transactions on Instrumentation and Measurement、IEEE Transactions on Neural Networks and Learning Systems等期刊审稿人