孙衍宁｜上海大学｜学者主页

2026

基于AI Agent的数据中心冷水机组健康监测方法

吴限，孙衍宁，马昊，刘丽兰

《工业工程》

2026

Spatiotemporal collaborative digital twin structural health monitoring based on dynamic multi-fidelity models

Hongjiang Lu, Lilan Liu, Zenggui Gao, Yuyan Yao, Jingwei Tang, Xinjie Cao, Yanning Sun

Computers in industry (Print)

DOI

2026

Intelligent laser micromachining parameter optimization via causality-enhanced data-driven modeling

Wei-Ming Jiang, Yan-Ning Sun, Li-Lan Liu, Jie-Cai Feng, Zeng-Gui Gao

Journal of Manufacturing Processes

DOI

2026

A continual causal learning architecture with multiscale graph attention for robust mold level fluctuation prediction in smart continuous casting systems

Yunjie Pan, Yan-Ning Sun, Wei Qin, Zeng-Gui Gao, Li-Lan Liu

Control Engineering Practice

DOI

2026

An autonomous AI Agent framework for dynamic assembly quality control via LLM-based heuristic evolution

Yi-Tian Song, Yan-Ning Sun, Jie Jiang, Li-Lan Liu, Zeng-Gui Gao, Wei Qin

Advanced Engineering Informatics

DOI

2026

A State-Of-The-Art Review of Industrial Time Series Data Analysis: Methods and Applications

Li-Lan Liu, Yixiang Zhang, Yan-Ning Sun, Hongxia Cai, Chen Wang

ACM Computing Surveys

DOI

2026

Hypergraph-based soft community detection enabling interpretable reconfiguration in flexible assembly systems

Yu-Xuan Shi, Yan-Ning Sun, Jia-Yang Zhu, Li-Lan Liu, Zeng-Gui Gao, Wei Qin

International Journal of Production Research

DOI

2026

A hard-to-measure state soft-sensing method for aircraft large-component robotic assembly systems based on continual transformer

Jia-Yang Zhu, Yan-Ning Sun, Yu-Xuan Shi, Li-Lan Liu, Zeng-Gui Gao, Jia-Ming Hou

Digital Twin

DOI

2025

An improved cross-machine transfer strategy based on multi-source domain knowledge for abnormal sample recognition

Zhenhao Yan, Bingqiang Zhou, Zenggui Gao, Weiping Nong, Lilan Liu, Yanning Sun

Reliability Engineering & System Safety，Vol. 257

DOI

2025

Automatic multimode identification of complex industrial processes based on network community detection with manifold similarity

Yan-Ning Sun, Hai-Bo Qiao, Hong-Wei Xu, Wei Qin, Zeng-Gui Gao, Li-Lan Liu

IET Collaborative Intelligent Manufacturing

DOI

2025

Online sequential decision making of multi-stage assembly process parameters based on deep reinforcement learning and its application in diesel engine production

Yi-Tian Song, Yan-Ning Sun, Li-Lan Liu, Jie Wu, Zeng-Gui Gao, Wei Qin

Journal of manufacturing systems

DOI

2025

A deep learning model-based framework for abnormal state monitoring of blast furnace heat loads

Hong-Wei Xu, Yan-Ning Sun, Li-Lan Liu

IET Conference Proceedings

DOI

2025

Online Quality Monitoring for Aerospace Assembly Process via Bayesian Neural Network with Dynamic Warning Mechanism

Jie Wu, Yan-Ning Sun, Chi Zhang, Li-Lan Liu, Zeng-Gui Gao, Wei Qin

2025 11th International Conference on Mechanical Engineering and Aerospace Engineering (MEAE)

DOI

2025

A key process identification framework for aircraft assembly production based on the network with physical attributes

Jin-Hua Hu, Yan-Ning Sun, Wei Qin

Journal of manufacturing systems

DOI

2025

Uncertainty-aware Bayesian neural network with SHAP interpretability for data-driven assembly quality prediction in complex manufacturing systems

Jie Wu, Yan-Ning Sun, Yi-Tian Song, Li-Lan Liu, Zeng-Gui Gao, Wei Qin

Advanced Engineering Informatics

DOI

2025

Machine learning-assisted surrogate model for developing MIMO quantitative relationship in plastic injection molding

Yan-Ning Sun, Hai-Bo Qiao, Zeng-Gui Gao, Li-Lan Liu, Wei Qin

Advances in Manufacturing

DOI

2025

Segmented Causal Modeling for Online Quality Monitoring in Aerospace Side Milling

Wei-Ming Jiang, Yan-Ning Sun, Li-Lan Liu, Zeng-Gui Gao, Qinge Xiao, Wei Qin

2025 11th International Conference on Mechanical Engineering and Aerospace Engineering (MEAE)

DOI

2025

Exploring AI-Generated Code for Health Monitoring Modeling in Complex Industrial Systems

Zhao Cheng, Yan-Ning Sun, Wei-Ming Jiang, Yong Yang, Li-Lan Liu, Zeng-Gui Gao

2025 11th International Conference on Mechanical Engineering and Aerospace Engineering (MEAE)

DOI

2025

Zero-Shot Learning with Dual-level Semantic Matching Fusion for Unseen Anomaly Identification in Aviation Manufacturing

Yu-Xuan Shi, Yan-Ning Sun, Wen-Bin Wang, Li-Lan Liu, Zeng-Gui Gao, Wei Qin

2025 11th International Conference on Mechanical Engineering and Aerospace Engineering (MEAE)

DOI

2024

Shape-performance coupled digital twin based on heterogeneous data from multiple sources: a scissor lift platform example

Hongjiang Lu, Zenggui Gao, Yanning Sun, Chaojia Gao, Zifeng Xu, Yunjie Pan, Lilan Liu

Engineering computations

DOI

2024

FTSDC: A novel federated transfer learning strategy for bearing cross-machine fault diagnosis based on dual-correction training

Zhenhao Yan, Zifeng Xu, Yixiang Zhang, Jiachen Sun, Lilan Liu, Yanning Sun

Advanced Engineering Informatics

DOI

2024

A Multi-Class Imbalanced Learning Method Using Random Balanced Sampling for Predicting the Quality Level of Diesel Engines

Yi-Tian Song, Yanning Sun, Jia-Yang Zhu, Li-Lan Liu, Zeng-Gui Gao, Jia-hao Zhang

2024 International Conference on Automation in Manufacturing, Transportation and Logistics (ICaMaL)

DOI

2024

Industrial Time Series Data-Driven Causal Delay Relationship Analysis for Complex Industrial Processes

Hai-Bo Qiao, Yan-Ning Sun, Li-Lan Liu, Zeng-Gui Gao, Yong Yang, Hong-Wei Xu

2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)

DOI

2024

A fast ramp-up framework for wafer yield improvement in semiconductor manufacturing systems

Hong-Wei Xu, Qi-Hua Zhang, Yan-Ning Sun, Qunzhi Chen, Wei Qin, You-Long Lv, Jie Zhang

Journal of manufacturing systems

DOI

2024

An adaptive Copula function-based framework for fault detection in semiconductor wafer fabrication

Hong-Wei Xu, Wei Qin, Yan-Ning Sun, You-Long Lv, Jie Zhang

Computers & industrial engineering

DOI

2024

A Copula network deconvolution-based direct correlation disentangling framework for explainable fault detection in semiconductor wafer fabrication

Hong-Wei Xu, Wei Qin, Jin-Hua Hu, Yan-Ning Sun, You-Long Lv, Jie Zhang

Advanced Engineering Informatics

DOI

2024

Reconstructing causal networks from data for the analysis, prediction, and optimization of complex industrial processes

Yan-Ning Sun, Yunjie Pan, Li-Lan Liu, Zeng-Gui Gao, Wei Qin

Engineering applications of artificial intelligence

DOI

2024

Deviation Propagation Network for Key Quality Factors Identification of Complex Assembly Systems

Jia-Yang Zhu, Yan-Ning Sun, Yi-Tian Song, Li-Lan Liu, Zeng-Gui Gao, Wei Qin

2024 International Conference on Automation in Manufacturing, Transportation and Logistics (ICaMaL)

DOI

2024

Network-based two-stage robust scheduling strategy for the aircraft assembly system with uncertain duration

Jin-Hua Hu, Ji-Yue Zhu, Yan-Ning Sun, Yu Chen, Wei Qin

Computers & industrial engineering

DOI

2024

Lifetime Prediction Method for Space Agencies by Combining Digital Twin and TimeGAN

Tingting Zhang, Lilan Liu, Yan-Ning Sun, Zenggui Gao

2024 10th Asia Conference on Mechanical Engineering and Aerospace Engineering (MEAE)

DOI

2024

A dynamic feature selection-based data-driven quality prediction method for soft sensing in the diesel engine assembly system

Jin-Hua Hu, Yan-Ning Sun, Wei Qin

Advanced Engineering Informatics

DOI

2023

An available-to-promise stochastic model for order promising based on dynamic resource reservation policy

Wei Qin, Zilong Zhuang, Yanning Sun, Yang Liu, Miying Yang

International Journal Of Production Research，Vol. 610, No. 16

DOI

2023

An Influential Node Identification Framework in the Aircraft Assembly Network Based on the Community Structure

Jin-Hua Hu, Yan-Ning Sun, Hong-Wei Xu, Run-Zhi Tan, Ji-Yue Zhu, Wei Qin

IEEE International Conference on Industrial Engineering and Engineering Management

DOI

2023

An integrated CRN-SVR approach for the quality consistency improvement in a diesel engine assembly process

Yan-Ning Sun, Qun Chen, Jin-Hua Hu, Hong-Wei Xu, Wei Qin, Xiaohui Shen, Ziyi Zhuang

International journal of computer integrated manufacturing (Print)

DOI

2023

A Data-Driven Status Division Scheme for Automated Container Terminal Production Process based on Graph Information

Run-Zhi Tan, Zhan-Luo Zhang, Yan-Ning Sun, Hong-Wei Xu, Wei Qin, Yu Tian, Dong Xu

2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)

DOI

2023

Influential process nodes identification strategy for aircraft assembly system based on complex network and improved PageRank

Ji-Yue Zhu, Wei Qin, Jin-Hua Hu, Yan-Ning Sun, Yu Chen

Advanced Engineering Informatics

DOI

2023

Attention mechanism-based deep learning for heat load prediction in blast furnace ironmaking process

Hong-Wei Xu, Wei Qin, Yan-Ning Sun, You-Long Lv, J. Zhang

Journal of Intelligent Manufacturing

DOI

2022

A hybrid multi-class imbalanced learning method for predicting the quality level of diesel engines

Wei Qin, Zilong Zhuang, Liangxun Guo, Yanning Sun

Journal Of Manufacturing Systems，Vol. 620

DOI

2022

基于非线性因果效应的间歇过程软测量方法

孙衍宁，王无印，许鸿伟，秦威

《华中科技大学学报(自然科学版)》

2022

An Improved XGBoost Prediction Model for Multi-Batch Wafer Yield in Semiconductor Manufacturing

Hong-Wei Xu, Wei Qin, Yan-Ning Sun

IFAC-PapersOnLine

DOI

2022

A multiphase information fusion strategy for data-driven quality prediction of industrial batch processes

Yan-Ning Sun, Wei Qin, Hong-Wei Xu, Run Tan, Zhan-Luo Zhang, Wen-Le Shi

Information Sciences

DOI

2022

A Causal Model-Inspired Automatic Feature-Selection Method for Developing Data-Driven Soft Sensors in Complex Industrial Processes

Yan-Ning Sun, Wei Qin, Jin-Hua Hu, Hong-Wei Xu, Poly Z. H. Sun

Engineering

DOI

2022

Network-based dynamic dispatching rule generation mechanism for real-time production scheduling problems with dynamic job arrivals

Zilong Zhuang, Yue Li, Yan-Ning Sun, Wei Qin, Zhao-Hui Sun

Robotics Comput. Integr. Manuf.

DOI

2022

An Adaptive Threshold Strategy Based on Genetic Optimization for Nonlinear Dynamic Process Monitoring

Yan-Ning Sun, Hong-Wei Xu, Wei Qin

IFAC-PapersOnLine

DOI

2022

Causality-based Prediction Method for the Diesel Engine Assembly Line System*

Jin-Hua Hu, Yan-Ning Sun, Hong-Wei Xu, Zhan-Luo Zhang, Wei Qin, Xinyu Li

2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)

DOI

2022

Data-Driven Modeling of Quality-Related Multiple Indicators in Injection Molding: An Integrated JMI-MSVR Technology

Yan-Ning Sun, Wei Qin, Wu-Yin Wang, Hong-Wei Xu, Eleanor Shen

Social Science Research Network

DOI

2021

Special issue: 30th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM2021)

Nikolaos Dimitriou, Aggeliki Pilalitou, Nikolaos Valmantonis, E. Pachos, Zilong Zhuang, Yu Chen, Yanning Sun

The International Journal of Advanced Manufacturing Technology

DOI

2021

An adaptive fault detection and root-cause analysis scheme for complex industrial processes using moving window KPCA and information geometric causal inference

Yan-Ning Sun, Wei Qin, Zilong Zhuang, Hong-Wei Xu

Journal of Intelligent Manufacturing

DOI

2021

Modelling and Prediction of Injection Molding Process Using Copula Entropy and Multi-Output SVR

Yan-Ning Sun, Yu Chen, Wu-Yin Wang, Hong-Wei Xu, Wei Qin

2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)

DOI

2021

Data-driven modeling and analysis based on complex network for multimode recognition of industrial processes

Yan-Ning Sun, Zilong Zhuang, Hong-Wei Xu, Wei Qin, Mengsha Feng

DOI

2021

Nonparametric-copula-entropy and network deconvolution method for causal discovery in complex manufacturing systems

Yan-Ning Sun, Wei Qin, Zilong Zhuang

Journal of Intelligent Manufacturing

DOI

2020

DyS-IENN: a novel multiclass imbalanced learning method for early warning of tardiness in rocket final assembly process

Zilong Zhuang, Liangxun Guo, Zi-Zhao Huang, Yan-Ning Sun, Wei Qin, Zhao-Hui Sun

Journal of Intelligent Manufacturing

DOI

2020

Data-driven rated power prediction of diesel engines using improved multi-class imbalanced learning method

Liangxun Guo, Zilong Zhuang, Yan-Ning Sun, Wei Qin

DOI

2020

Quality consistency analysis for complex assembly process based on Bayesian networks

Yan-Ning Sun, Wei Qin, Zilong Zhuang

DOI

2020

Complex scheduling network: an objective performance testing platform for evaluating vital nodes identification algorithms

Zilong Zhuang, Yu Chen, Yan-Ning Sun, Wei Qin

The International Journal of Advanced Manufacturing Technology

DOI

精选作品

期刊论文

基于AI Agent的数据中心冷水机组健康监测方法

Spatiotemporal collaborative digital twin structural health monitoring based on dynamic multi-fidelity models

Intelligent laser micromachining parameter optimization via causality-enhanced data-driven modeling

A continual causal learning architecture with multiscale graph attention for robust mold level fluctuation prediction in smart continuous casting systems

An autonomous AI Agent framework for dynamic assembly quality control via LLM-based heuristic evolution

A State-Of-The-Art Review of Industrial Time Series Data Analysis: Methods and Applications

Hypergraph-based soft community detection enabling interpretable reconfiguration in flexible assembly systems

A hard-to-measure state soft-sensing method for aircraft large-component robotic assembly systems based on continual transformer

An improved cross-machine transfer strategy based on multi-source domain knowledge for abnormal sample recognition

Automatic multimode identification of complex industrial processes based on network community detection with manifold similarity

Online sequential decision making of multi-stage assembly process parameters based on deep reinforcement learning and its application in diesel engine production

A deep learning model-based framework for abnormal state monitoring of blast furnace heat loads

Online Quality Monitoring for Aerospace Assembly Process via Bayesian Neural Network with Dynamic Warning Mechanism

A key process identification framework for aircraft assembly production based on the network with physical attributes

Uncertainty-aware Bayesian neural network with SHAP interpretability for data-driven assembly quality prediction in complex manufacturing systems

Machine learning-assisted surrogate model for developing MIMO quantitative relationship in plastic injection molding

Segmented Causal Modeling for Online Quality Monitoring in Aerospace Side Milling

Exploring AI-Generated Code for Health Monitoring Modeling in Complex Industrial Systems

Zero-Shot Learning with Dual-level Semantic Matching Fusion for Unseen Anomaly Identification in Aviation Manufacturing

Shape-performance coupled digital twin based on heterogeneous data from multiple sources: a scissor lift platform example

FTSDC: A novel federated transfer learning strategy for bearing cross-machine fault diagnosis based on dual-correction training

A Multi-Class Imbalanced Learning Method Using Random Balanced Sampling for Predicting the Quality Level of Diesel Engines

Industrial Time Series Data-Driven Causal Delay Relationship Analysis for Complex Industrial Processes

A fast ramp-up framework for wafer yield improvement in semiconductor manufacturing systems

An adaptive Copula function-based framework for fault detection in semiconductor wafer fabrication

A Copula network deconvolution-based direct correlation disentangling framework for explainable fault detection in semiconductor wafer fabrication

Reconstructing causal networks from data for the analysis, prediction, and optimization of complex industrial processes

Deviation Propagation Network for Key Quality Factors Identification of Complex Assembly Systems

Network-based two-stage robust scheduling strategy for the aircraft assembly system with uncertain duration

Lifetime Prediction Method for Space Agencies by Combining Digital Twin and TimeGAN

A dynamic feature selection-based data-driven quality prediction method for soft sensing in the diesel engine assembly system

An available-to-promise stochastic model for order promising based on dynamic resource reservation policy

An Influential Node Identification Framework in the Aircraft Assembly Network Based on the Community Structure

An integrated CRN-SVR approach for the quality consistency improvement in a diesel engine assembly process

A Data-Driven Status Division Scheme for Automated Container Terminal Production Process based on Graph Information

Influential process nodes identification strategy for aircraft assembly system based on complex network and improved PageRank

Attention mechanism-based deep learning for heat load prediction in blast furnace ironmaking process

A hybrid multi-class imbalanced learning method for predicting the quality level of diesel engines

基于非线性因果效应的间歇过程软测量方法

An Improved XGBoost Prediction Model for Multi-Batch Wafer Yield in Semiconductor Manufacturing

A multiphase information fusion strategy for data-driven quality prediction of industrial batch processes

A Causal Model-Inspired Automatic Feature-Selection Method for Developing Data-Driven Soft Sensors in Complex Industrial Processes

Network-based dynamic dispatching rule generation mechanism for real-time production scheduling problems with dynamic job arrivals

An Adaptive Threshold Strategy Based on Genetic Optimization for Nonlinear Dynamic Process Monitoring

Causality-based Prediction Method for the Diesel Engine Assembly Line System*

Data-Driven Modeling of Quality-Related Multiple Indicators in Injection Molding: An Integrated JMI-MSVR Technology

Special issue: 30th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM2021)

An adaptive fault detection and root-cause analysis scheme for complex industrial processes using moving window KPCA and information geometric causal inference

Modelling and Prediction of Injection Molding Process Using Copula Entropy and Multi-Output SVR

Data-driven modeling and analysis based on complex network for multimode recognition of industrial processes

Nonparametric-copula-entropy and network deconvolution method for causal discovery in complex manufacturing systems

DyS-IENN: a novel multiclass imbalanced learning method for early warning of tardiness in rocket final assembly process

Data-driven rated power prediction of diesel engines using improved multi-class imbalanced learning method

Quality consistency analysis for complex assembly process based on Bayesian networks

Complex scheduling network: an objective performance testing platform for evaluating vital nodes identification algorithms

研究方向