Yulin Ma (马钰淋)

Yulin Ma (马钰淋)

Welcome to RISELab (Reliability & Intelligence & Sensoring & Engineering).

I am currently an Associate professor (non-tenured) at State Key Laboratory of Smart Power Distribution Equipment and System (智能配用电装备与系统全国重点实验室) , School of Electrical Engineering, Hebei University of Technology .

I graduated from School of Reliability and Systems Engineering, Beihang University (北京航空航天大学 可靠性与系统工程学院) with a Ph.D’s degree, advised by [Jun Yang (杨军)]), and from the School of Safety and Ocean Engineering, China University of Petroleum, Beijing (中国石油大学（北京）安全与海洋工程学院) with a master’s degree, advised by [Jinjiang Wang (王金江)].

My research interest includes prognostics and health management, predictive maintenance, reliability evaluation, and artificial intelligence, with application to industrial robot, reflactor antena, new electric power system, and wind turbine blade. I have published 13+ papers at the top international journals (中科院一区、二区TOP) such as Journal of Manufacturing Systems, Reliability Engineering and System Safety, Knowledge-Based Systems, Engineering Applications of Artificial Intelligence, IEEE Transactions on Instrument and Measurement, Neurocomputing, et.al. I am now 中国现场统计研究会可靠性工程分会青年理事.

If you are seeking any form of academic cooperation, please feel free to email me at yulin.ma@hebut.edu.cn.

We are hiring master student, undergraduate students! Feel free to send me an email with your CV and transcript!

If you like the template of this homepage, welcome to star and fork my open-sourced template version AcadHomepage .

🔥 News

  • 2025.10: 🎉 One paper is accepted by EAAI (中科院一区TOP)

📝 Publications

  • 🎙 Deep Learning and Smart Manufacturing

  • JMS 2018 Deep learning for smart manufacturing: Methods and applications, Jinjiang Wang (王金江), Yulin Ma (马钰淋), Laibin Zhang (张来宾), Robert X. Gao, Dazhong Wu. Journal of Manufacturing Systems, Volume 48, Part C, July 2018, Pages 144-156. (中科院一区TOP, ESI热点、高被引论文, Journal of Manufacturing Systems 2021 Best Paper Award!)

  • 🎙 Diagnosis & Reflector Antenna & Industrial Robot

  • TIM 2025 xxxx, Guyu Zhang, Yulin Ma, Xu Han, et. al. IEEE Transactions on Instrumentation and Measurement, 2025 (upcoming soon!).

  • 🎙 Diagnosis & Mechanical Machinery & Chemical Process

  • EAAI 2025 Sharpness-aware debiased alignment for imbalanced domain generalization fault diagnosis, Yulin Ma (马钰淋), Jun Yang (杨军). Engineering Applications of Artificial Intelligence (中科院一区TOP), Volume 162, Part D, 24 December 2025, 112627.
  • TIM 2024 Sharpness-aware gradient alignment for domain generalization with noisy labels in intelligent fault diagnosis, Yulin Ma, Jun Yang, Ruqiang Yan (严如强). IEEE Transactions on Instrumentation and Measurement (中科院二区TOP), 12 June 2024, 3523210.
  • RESS 2023 [Gradient aligned domain generalization with a mutual teaching teacher-student network for intelligent fault diagnosis](https://www.sciencedirect.com/science/article/abs/pii/S0952197625026582, Yulin Ma, Jun Yang (杨军). Reliability Engineering & System Safety (中科院一区TOP), Volume 239, November 2023, 109516.
  • KBS 2023 Meta Bi-classifier Gradient Discrepancy for noisy and universal domain adaptation in intelligent fault diagnosis, Yulin Ma, Jun Yang. Knowledge-Based Systems (中科院一区TOP), Volume 276, 27 September 2023, 110735.
  • RESS 2022 Convolutional kernel aggregated domain adaptation for intelligent fault diagnosis with label noise, Yulin Ma, Lei Li, Jun Yang. Reliability Engineering & System Safety (中科院一区TOP), Volume 227, November 2022, 108736.
  • Neup 2022 [Collaborative and adversarial deep transfer auto-encoder for intelligent fault diagnosis]([https://www.sciencedirect.com/science/article/abs/pii/S0951832022003593, Yulin Ma, Jun Yang, Lei Li. Neurocomputing (中科院二区TOP), Volume 486, 14 May 2022, Pages 1-15.

  • BISE 2019 Performance Analysis and Enhancement of Deep Convolutional Neural Network: Application to Gearbox Condition Monitoring, Jinjiang Wang, Yulin Ma, Rui Zhao, et. al. Business & Information Systems Engineering, Volume 61, pages 311–326, 2019.

  • 🎙 Computer Vision & Artificial Intelligence

  • Infs 2022 [Pseudo-labeling Integrating Centers and Samples with Consistent Selection Mechanism for Unsupervised Domain Adaptation], Lei Li, Jun Yang, Yulin Ma, Xuefeng Kong. Information Sciences (中科院一区TOP), Volume 628, May 2023, Pages 50-69.
  • Neup 2022 [Discriminative transfer feature learning based on robust-centers], Lei Li, Jun Yang, Xuefeng Kong, Yulin Ma. Neurocomputing, Volume 500, 21 August 2022, Pages 39-57.
  • KBS 2022 [Unsupervised domain adaptation via discriminative feature learning and classifier adaptation from center-based distances], Lei Li, Jun Yang, Xuefeng Kong, Jianchun Zhang, Yulin Ma. Knowledge-Based Systems (中科院一区TOP), Volume 250, 17 August 2022, 109022.

  • 🎙 Defect Recognition & Artificial Intelligence

  • JSSMS 2022 [Head Defect Recognition of GH159 Bolt After Hot Upsetting Based on Transfer Learning (基于迁移学习的 GH159 螺栓热镦后头部缺陷识别)], Lei Li, Yulin Ma, Gang Hu, Xuefeng Kong, Jun Yang, Yanwei Xu. Journal of Systems Science and Mathematical Sciences 系统科学与数学, 2021.
  • SRSE 2022 [A Novel Hybrid Neural Network with Attentive Feature Selection for Degradation Status Identification of Aircraft Self-locking Nuts], Wenjing Zhang, Yulin Ma, Yanwei Xu, Xinfu Liang, Le Qi, Jun Yang, Lei Li. International Conference on System Reliability and Safety Engineering (SRSE), 2022.

📚 Machine Translation

🎼 Music & Dance Generation

🧑‍🎨 Generative Model

Others

under review, upcoming soon!

🎖 Honors and Awards

  • 2023.09 National Scholarship 国家奖学金 (Ranked Top 1) Beihang University
  • 2019.09 National Scholarship 国家奖学金 (Ranked Top 1) China University of Petroleum (Beijing)
  • 2025.08 The 16th International Conference on Reliability, Maintainability, and Safety (ICRMS 2025), Invited Speaker, Shanghai.
  • 2022.12 The 4th International Conference on System Reliability and Safety Engineering (SRSE 2022), Excellent Oral Presentation Award, Guangzhou.

📖 Educations

  • 2019.06 - 2022.04, Ph.D, School of Reliability and Systems Engineering, Beihang Univeristy, Beijing.
  • 2017.09 - 2020.06, Master, School of Safety and Ocean Engineering, China Univeristy of Petroleum, Beijing.
  • 2013.09 - 2017.06, Bachalor, Qingdao University of Science and Technology, Qingdao.

💬 Invited Talks

  • 2025.08, International Conference on Reliability, Maintainability and Safety (ICRMS 2025), Invited Speaker，Shanghai.
  • 2022.12,International Conference on System Reliability and Safety Engineering (SRSE 2022), Excellent Oral Presentation, Guangzhou.
  • 2025.09, 第三十八届机械行业可靠性技术2025年学术年会分会场报告，Keynote Speaker, Xian.
  • 2024.04, 中国运筹学会可靠性分会2024年学术年会分会场报告，Student Presentation, Chengdu.
  • 2024.05, 中国现场统计学会可靠性工程分会2024年学术年会分会场报告，Student Presentation, Hangzhou.
  • 2023.10, 中国优选法统筹法与经济数学研究会工业工程分会2023年分会场报告，Student Presentation, Xian.
  • 2023.06, 中国现场统计学会可靠性工程分会2023年学术年会分会场报告，Student Presentation, Qinghuangdao.

💻 Internships

  • 2018.09, 中海油能源技术开发研究院通信网络系统建设数据中心, 北京昌平.
  • 2018.07, 中国石油管道科技中心, 河北廊坊.
  • 2018.04, 中国石化川气东送天然气管道有限公司, 普光、达州、利川、宜昌、潜江、武汉、金坛等站.

💼 Projects

  • 2026.01-2028.12, National Science Foundation of China (国家自然科学基金青年基金C类), 在研, Principle investigator 主持.
  • 2025.01-2029.12, National Science Foundation of China (国家自然科学基金区域联合基金集成项目), 在研, 项目骨干.
  • 2025.10-2025.12, University-Enterprise Collaborative Horizontal Project, 在研, 主持.

🎟️ Recruitment

  • 每年招收2名硕士研究生，欢迎同学们邮件联系.
  • 名额有限，请有意向的同学尽快联系！
  • 注意邮件务必包含个人简历和成绩单！如符合条件，将尽快安排线上面试！
  • Recruiting 2 master’s students annually; feel free to contact me via email.
  • Limited spots available; interested students should reach out as soon as possible!
  • Please ensure your email includes your CV and transcript. If qualified, an online interview will be arranged promptly!