I will work at as a Complex system reliability researcher in Beijing.

I am now working on reliability assessment, prognostics and health management (PHM) and predictive maintenance of complex industrial systems. Research areas include high-speed rail, aircraft, energy systems, manufacturing systems, etc. My expertise lies in efficiently and reliably applying artificial intelligence algorithms to solve real industrial problems.

I graduated from School of Mechanical Science & Engineering, Huazhong University of Science and Technology (华中科技大学机械科学与工程学院) with a bachelor’s degree, advised by JunFeng Wang (王峻峰). And I will graduate from the Department of Industrial Engineering, Tsinghua University (清华大学工业工程系) with a PhD degree in June 2024, advised by Yan-Fu Li (李彦夫).

I won the Best Paper Award at the 2020 Annual Conference of the Optimization Method Coordination Method and Economic Mathematics Research Society, the 2021 INFORMS QSR Data Challenge Competition Finalist (2 candidates worldwide), the 6th place in the first International Algorithm Example Competition in the Guangdong-Hong Kong-Macao Greater Bay Area, and the National Scholarship for Doctoral Students in 2023.

My research interest includes imbalance learning and positive unlabeled (PU) learning. To date, I have published 10 academic papers with total google scholar citations more than 300, including 6 SCI top journal papers, and obtained several invention patents.

If you are seeking any form of academic cooperation or project cooperation, please feel free to email me at qianmin.tsinghua@outlook.com.

📖 Educations

2019.09 - 2024.06, PhD, Department of Industrial Engineering, Tsinghua University, Beijing, (GPA: 3.68/4, rank: 9/49).
2015.09 - 2019.06, Undergraduate, School of Mechanical Science & Engineering, Huazhong University of Science and Technology, Wuhan, (Score: 91.67, rank: 1/ 52).
2017.12 - 2018.02, Visiting scholar, Stanford University, California.
2012.09 - 2015.06, Wuwei Middle School, Wuwei.

🔥 News

2025.01: 🎉🎉 Our team won the Gold Medal at the China Exhibition of Inventions (中国发明展览会金奖).
2024.11: 🎉🎉 Paper is published by IEEE Transactions on Industrial Informatics (中科院1区TOP期刊).
2024.06: 🎉🎉 Our team won the Gold Medal at the Geneva International Exhibition of Inventions (日内瓦国际发明展金奖).
2024.06: 🎉🎉 I won the Excellent Doctoral Dissertation of Tsinghua University (清华大学优秀博士学位论文).
2023.12: 🎉🎉 I won the National Scholarship for Doctoral Students (博士生国家奖学金).
2023.11: 🎉 I Won the Second Prize in the 2023 China Intelligent Transportation Technology Innovation Competition (2023年中国智能交通科创大赛-智能网联汽车网络与数据安全二等奖，并列第二名)

📝 Publications

IEEE Transactions on Industrial Informatics Deep Imbalanced Separation Network: A Holistic Fault Detection Framework Considering Class-imbalance and Partial Label-unknown, Min Qian, Hui Wu, Yan-Fu Li (IF=12.3)
IEEE Transactions on Industrial Informatics Wind Turbine Blade Early Fault Detection With Faulty Label Unknown and Labeling Bias, Min Qian, Hui Wu, Yan-Fu Li (IF=12.3)
IEEE Transactions on Industrial Informatics Positive-Unlabeled Learning Based Hybrid Deep Network for Intelligent Fault Detection, Min Qian, Yan-Fu Li, Te Han (IF=12.3)
IEEE Transactions on Reliability A Novel Adaptive Undersampling Framework for Class-Imbalance Fault Detection, Min Qian, Yan-Fu Li (IF=5.9)
IEEE Transactions on Reliability A Weakly Supervised Learning-Based Oversampling Framework for Class-Imbalanced Fault Diagnosis, Min Qian, Yan-Fu Li (IF=5.9)
IEEE Transactions on Instrumentation and Measurement Energy Saving Scheduling of A Single Machine System Based on Bi-objective Particle Swarm Optimization, Te Han, Yan-Fu Li, Min Qian (IF=5.6, High citation)
2019 IEEE 15th International Conference on Automation Science and Engineering (CASE) A Hybrid Generalization Network for Intelligent Fault Diagnosis of Rotating Machinery Under Unseen Working Conditions, Junfeng Wang, Min Qian, Lingui Hu, Shiqi Li, Qing Chang
2019 Prognostics and System Health Management Conference (PHM-Qingdao) Glucose Level Prediction Based on Data Driven Method, Min Qian, Yan-Fu Li
2021 IEEE 21st International Conference on Software Quality Reliability and Security Companion (QRS-C) A clustering-based Framework for Highly Imbalanced Fault Detection with the Applications on High-Speed Trains, Min Qian, Yan-Fu Li
2024 18th International Conference on Control, Automation, Robotics and Vision (ICARCV) Mitigating Class Imbalance in Vision-Based Anomaly Detection via NAUF Undersampling: A Case Study in Automated Quality Control for Hydrogen Storage Manufacturing, Xuehui Mao, Min Qian, Yan-Fu Li, Yinghao Chu

📚 Patents

Chinese Invention Patent Min Qian, Yan-Fu Li, A system anomaly diagnosis method and device (一种系统异常诊断方法和装置, ZL202110325710.1)
Chinese Invention Patent Yan-Fu Li, Min Qian, A tool health monitoring method based on functional data principal component Analysis (一种基于函数型数据主成分分析的刀具健康监测方法, ZL202211219391.7)
Chinese Invention Patent Yan-Fu Li, Shang Xiong,Min Qian, A vibration estimation method using the intrinsic parameters of the structure (一种利用结构固有参数的振动估计方法, ZL202111026053.7)
Chinese Invention Patent Yan-Fu Li, Shang Xiong,Min Qian, A real-time estimation method for structural vibration (一种结构振动的实时估计方法, ZL202111026403.X)
International Invention Patent Yan-Fu Li, Min Qian, Shang Xiong, Method for estimating structural vibration in real time (US17/897744, Pending)

🔍 Projects

Government Sponsored Project 2018-2022, “Big-data driven methodologies for high availability of the high-speed railways” (大数据驱动的高速铁路高可用性研究), National Natural Science Foundation of China (NSFC), Key project 71731008.
Government Sponsored Project 2019-2022, “Prognostics and health management of the railway vehicle running gears based on digital-twin technology” (基于数字孪生技术的城轨列车走行系统故障预测与健康管理), Beijing Municipal Natural Science Foundation-Rail Transit Joint Research Program, L191022.
Government Sponsored Project 2019-2022, “Intelligent fault diagnosis and health management system of industrial robots” (工业机器人智能故障诊断及健康评估系统), National Key Research and Development Program of China, 2018YFB1306100.
Industry Sponsored Project 2018-2019, “SDS reliability testing efficiency optimization” (装备可靠性测试效率提升), Huawei Machine Ltd.
Industry Sponsored Project 2020-2021, “Predictive maintenance of hobbing tools” (滚齿刀具的预测性维护), Volkswagen China.
Industry Sponsored Project 2020-2021, “Intra-carriage noise source identification and condition-based maintenance for high-speed train wheel degradation” (噪声声源识别测试及列车轮对视情维修研究), China Railway Xi’an Group.
Industry Sponsored Project 2020-2021, “Research on the inspection policy of hollow axles in high speed trains” (高速列车空心车轴的探伤周期研究), China Railway Xi’an Group.
Industry Sponsored Project 2020-2022, “Research on artificial intelligence prediction of civil aircraft structural vibration based on big data analysis” (基于大数据分析的民机结构振动响应人工智能预测研究), COMAC Shanghai Aircraft Design and Research Institute.
Industry Sponsored Project 2022-2023, “Heavy duty railway freight car axle fault prediction and health management research” (重载铁路货车车轴故障预测与健康管理), Guoneng Railway Equipment Co., Ltd.

🎖 Honors and Awards

🏅 Honors

2025.01, Gold Medal at the China Exhibition of Inventions (中国发明展览会金奖)
2024.06, Gold Medal at the Geneva International Exhibition of Inventions (日内瓦国际发明展金奖)
2024.06, Excellent Doctoral Dissertation of Tsinghua University (清华大学优秀博士学位论文)
2022.11, Excellent Student Cadre of IE Department of Tsinghua University (清华大学工业工程系优秀学生干部)
2021.11, Outstanding Communist Party Member of IE Department of Tsinghua University (清华大学工业工程系优秀共产党员)
2021.10, Excellent Communist Youth League Member of Tsinghua University (清华大学优秀共青团员)
2019.6, Outstanding Graduate Student of Huazhong University of Science and Technology (HUST) (华中科技大学优秀毕业生)
2018.10, Undergraduate Honors Student of HUST (华中科技大学本科特优生)
2018.9, Merit Student of HUST (华中科技大学三好学生)
2017.10, Excellent Communist Youth League Cadre of HUST (华中科技大学优秀共青团干部)
2017.9, Merit Student of HUST (华中科技大学三好学生)
2016.10, Excellent Communist Youth League Member of HUST (华中科技大学优秀共青团员)
2016.9, Merit Student of HUST (华中科技大学三好学生)

🏆 Scholarships

2023.12, National Scholarship for Doctoral Students (博士生国家奖学金)
2022.12, First-class Scholarship of Tsinghua University (清华大学一等奖学金)
2021.12, Second-class Scholarship of Tsinghua University (清华大学二等奖学金)
2021.4, Mitsubishi Scholarship (三菱奖学金)
2020.12, Second-class Scholarship of Tsinghua University (清华大学二等奖学金)
2018.11, National Scholarship (国家奖学金)
2017.11, National Scholarship (国家奖学金)
2017.9, Fast Scholarship (法士特奖学金)

🎏 Competitions

2023.11, Second Prize in the 2023 China Intelligent Transportation Technology Innovation Competition (2023年中国智能交通科创大赛-智能网联汽车网络与数据安全二等奖，并列第二名)
2023.11, Excellent Award in the 2023 China Intelligent Transportation Technology Innovation Competition (2023年中国智能交通科创大赛-基于ADS-B的飞行流量预测优胜奖,并列第四名)
2022.12, Second Prize of the 2022 China Digital Vehicle Competition-Power Battery Safety Risk Assessment and Fault Warning (2022年中国数字汽车大赛二等奖-动力电池安全风险评估与故障预警)
2022.10, Excellent Award of 2022 Guangdong-Hong Kong-Macau International Algorithm Competition-Surface Defect Detection of Industrial Products (粤港澳大湾区国际算法算例大赛优胜奖-工业品表面缺陷检测，第六名)
2021.10, 2021 INFORMS QSR Data Challenge Competition Finalist (2021年INFORMS QSR数据挑战赛Finalist，并列第二名)
2020.10, Best Paper of 2020 Annual Conference of the Optimization Method Coordination Method and Economic Mathematics Research Society (2020年优选法统筹法与经济数学研究会年会最佳论文奖)
2018.10, Second Prize of The first Gree Cup Industrial Engineering and Lean Management Competition (首届格力杯工业工程与精益管理大赛全国二等奖)
2017.10, Provincial First Prize of National College Students Mathematical Modeling Competition (全国大学生数学建模大赛湖北省一等奖)

💬 Invited Talks

2022.11, Positive-Unlabeled Learning-Based Hybrid Deep Network for Intelligent Fault Detection, 2022 National Industrial Engineering Doctoral Student Forum
2021.12, A Clustering-based Framework for Highly Imbalanced Fault Detection with the Applications on High-Speed Trains, the 21st IEEE International Conference on Software Quality, Reliability, and Security
2021.12, A Clustering-based Framework for Highly Imbalanced Fault Detection with the Applications on High-Speed Trains, 2021 National Industrial Engineering Doctoral Student Forum
2020.11, Weakly Supervised-Based Oversampling for High Imbalance and High Dimensionality Data Classification, 2020 Annual Conference of the Optimization Method Coordination Method and Economic Mathematics Research Society
2020.11, Clustering Analysis of the COVID-19’s Impact in Different Chinese Province based on the Multi-stage Hierarchical Clustering Framework (基于多阶段分级聚类框架的中国各地区受新冠肺炎疫情影响程度聚类分析), The 21st Annual Conference of Chinese Systems Engineering (中国系统工程年会第21届学术年会)
2020.10, Convolutional Neural Network Based Fault Detection Method for the TFDS of the Train, IEEE Golbal Reliability and Prognositcs & Health Management Conference