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My research interest is in industrial intelligence and security. The current topic is industrial process fault diagnosis and optimization, implemented using industrial big data analytics. The industrial processes I am familiar with are hot strip mill process (SHMP) and float glass production process (FGPP). I am currently pursuing my Ph.D. under the supervision of Prof. Kaixiang Peng at the University of Science and Technology Beijing (USTB).

A guiding principle I live by is: Heaven rewards the diligent! (天道酬勤!)

📖 Educations

• 2023.09 - Now, Ph.D in University of Science and Technology Beijing.
• 2021.09 - 2023.06, M.S. in University of Science and Technology Beijing.
• 2016.09 - 2020.06, B.S. in University of Science and Technology Beijing.

📝 Publications

TIM

A Novel Multimodal Process Monitoring Method Based on Improved Just-in-Time Learning-Assisted Stacked Quality-Related Autoencoder

Xin Qin, Kaixiang Peng, Hongjun Zhang

IEEE TIM

• We proposed a quality-related multimodal process monitoring strategy based on IITL-SQAE for addressing theissues ofnonlinearity, dynamics, and multimodality inindustrial rprocess quality monitoring.
• A novel neural network with a certain level of inter-pretability was introduced. The neural network utilizes thecorrelation and causality of process variable and qualityvariable to extract deep quality-related features.

AES

A Quality Soft Sensing Method for Multi-Stage Complex Manufacturing Processes（一种面向多工序复杂制造过程的质量软测量方法）

Kaixiang Peng, Xin Qin, Jiahao Wang, Hui Yang

Advanced Engineering Sciences

• We proposed an mRMR-GA-ResNet-based soft measurement modeling method for quality of multi-process complex manufacturing processes considering process time delay.
• A multi-sensor process variable selection method based on mRMR and GA considering the time delay between process variables and quality variables was introduced.

• Knowledge-data-driven process monitoring based on temporal knowledgegraphs and supervised contrastive learning for complex industrial processes

  Kaixiang Peng, Jianhua Chen, Hui Yang, Xin Qin

  Journal of Process Control

• A Semi-supervised Quality Soft Sensing Methodunder Multiple Operating Conditions for ComplexProduct Manufacturing Processes

  Kaixiang Peng, Jiahao Wang, Hui Yang, Xin Qin

  IEEE Transactions on Instrumentation and Measurement

• A Novel Quality-Related Generative Data-Driven Fault Diagnosis Method for Complex Industrial Processes with Incomplete Data

  Muhammad Asfandyar Shahid, Kaixiang Peng, Xueyi Zhang, Xin Qin

  Measurement

• Semi-supervised soft measurement of strip hot milling process considering incomplete samples（考虑不完备样本的带钢热轧过程半监督软测量方法）

  Xiaoyu Liu, Xin Qin, Xiaoke Xu, Kaixiang Peng,

  The 34th Chinese Process Control Conference, CPCC 2023

🎖 Honors and Awards

• 2020, First Prize, International Contest of innovAtioN (iCAN), Calmspoon Stabilizing Tableware
• 2020, Gold Award, “Challenge Cup” Capital College Student Entrepreneurship Competition, Calmspoon Stabilizing Tableware (“挑战杯”省赛金奖)
• 2021, Second Prize, “Maker Beijing” Regional Innovation and Entrepreneurship Competition – Urban Big Data Track, Calmspoon Stabilizing Tableware
• 2024, Second Prize, China International Student Innovation Competition (2024) – Beijing Regional, Intelligent Manufacturing: Operation and Maintenance Integrated Quality Control Platform Based on Domestic Highly Self-developed Digital Twin Engine*

• 2021, Outstanding Graduate Student Leader, USTB

🧾 Patents

• 2020, Electronic Anti-Shake Tableware (一种电子防抖餐具), Granted, CN110584428B
• 2024, Electronic Anti-Shake Tableware (一种电子防抖餐具), Granted, ZL201910912611.6
• 2024, A method and device for monitoring hot strip rolling process considering spatio-temporal characteristics of data (一种考虑数据时空特性的带钢热连轧过程监测方法及装置), Granted, ZL202410177636.7
• 2024, A “cloud-edge” collaborative strip hot milling production process data governance and performance prediction and evaluation method and device (一种“云边”协同的带钢热轧生产过程数据治理及性能预测评估方法及装置), Granted, ZL202411263330.X
• 2024, A float glass production process key performance indicators abnormal monitoring method and device (一种浮法玻璃生产过程关键性能指标异常监测方法及装置), Granted, ZL202410429521.2
• 2024, A float glass production process fault monitoring and root cause diagnosis method and device (一种浮法玻璃生产过程故障监测与根源诊断方法及装置), Granted, ZL202410433444.8
• 2024, A kind of float glass production process corrugation degree monitoring and regulation optimization method and device (一种浮法玻璃生产过程波纹度监测与调控优化方法及装置), Under Substantive Examination, CN202410164966.2
• 2024, A soft measurement model inspection method and device for float glass product quality (一种面向浮法玻璃产品质量的软测量模型检测方法及装置), Under Substantive Examination, CN202410416412.7

🔗 Links

I am fortunate to collaborate closely with the following research partners:

• Guangxuan Song. My partner working on knowledge graphs and large language models, particularly in their application to scientific data analysis in materials science.
• Meijun Wang. My partner working on autonomous driving and computer vision, with a focus on human pose estimation and pedestrian safety.