Jie Zhang
Orcid: 0000-0002-6215-0237Affiliations:
- Donghua University, College of Mechanical Engineering, Shanghai, China
- Shanghai Jiao Tong University, Institute of Intelligent Manufacturing and Information Engineering, China (former)
- Nanjing University of Aeronautics and Astronautics, China (PhD 1997)
According to our database1,
Jie Zhang
authored at least 55 papers
between 2011 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
A resilient scheduling framework for multi-robot multi-station welding flow shop scheduling against robot failures.
Robotics Comput. Integr. Manuf., 2025
2024
LEGAN: A low-light image enhancement generative adversarial network for industrial internet of smart-cameras.
Internet Things, April, 2024
Attention mechanism-based deep learning for heat load prediction in blast furnace ironmaking process.
J. Intell. Manuf., March, 2024
PFNet: Attribute-aware personalized fashion editing with explainable fashion compatibility analysis.
Inf. Process. Manag., January, 2024
Appearance flow estimation for online virtual clothing warping via optimal feature linear assignment.
Image Vis. Comput., 2024
GIC-Flow: Appearance flow estimation via global information correlation for virtual try-on under large deformation.
Comput. Graph., 2024
Multi-robot multi-station welding flow shop closed-loop rescheduling with deep reinforcement learning and improved artificial bee colony algorithm.
Comput. Ind. Eng., 2024
An adaptive Copula function-based framework for fault detection in semiconductor wafer fabrication.
Comput. Ind. Eng., 2024
Recursive signal denoising method for predictive maintenance of equipment by using deep learning based temporal masking.
Comput. Ind. Eng., 2024
A blockchain-enabled and event-driven tracking framework for SMEs to improve cooperation transparency in manufacturing supply chain.
Comput. Ind. Eng., 2024
A Copula network deconvolution-based direct correlation disentangling framework for explainable fault detection in semiconductor wafer fabrication.
Adv. Eng. Informatics, 2024
AKGNN-PC: An assembly knowledge graph neural network model with predictive value calibration module for refrigeration compressor performance prediction with assembly error propagation and data imbalance scenarios.
Adv. Eng. Informatics, 2024
2023
Unsupervised fabric defects detection based on spatial domain saliency and features clustering.
Comput. Ind. Eng., November, 2023
Knowledge augmented broad learning system for computer vision based mixed-type defect detection in semiconductor manufacturing.
Robotics Comput. Integr. Manuf., June, 2023
TsrNet: A two-stage unsupervised approach for clothing region-specific textures style transfer.
J. Vis. Commun. Image Represent., March, 2023
Brain-Inspired Interpretable Network Pruning for Smart Vision-Based Defect Detection Equipment.
IEEE Trans. Ind. Informatics, 2023
A knowledge augmented image deblurring method with deep learning for in-situ quality detection of yarn production.
Int. J. Prod. Res., 2023
Adaptive Deep Reinforcement Learning for Dynamic Parallel Machines Scheduling with Maintenance Activities.
Proceedings of the 28th International Conference on Automation and Computing, 2023
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
2022
IEEE Trans. Ind. Informatics, 2022
IEEE Trans. Engineering Management, 2022
MicroCrack-Net: A Deep Neural Network With Outline Profile-Guided Feature Augmentation and Attention-Based Multiscale Fusion for MicroCrack Detection of Tantalum Capacitors.
IEEE Trans. Aerosp. Electron. Syst., 2022
A data-driven robust optimization method for the assembly job-shop scheduling problem under uncertainty.
Int. J. Comput. Integr. Manuf., 2022
Genetic regulatory network-based optimisation of master production scheduling and mixed-model sequencing in assembly lines.
Int. J. Bio Inspired Comput., 2022
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022
A Convolutional Neural Network with Equal-Resolution Enhancement and Gradual Attention of Features for Tiny Target Detection.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022
2021
IEEE Trans. Ind. Informatics, 2021
Online inspection of narrow overlap weld quality using two-stage convolution neural network image recognition.
Mach. Vis. Appl., 2021
Comput. Ind. Eng., 2021
2020
A collaborative architecture of the industrial internet platform for manufacturing systems.
Robotics Comput. Integr. Manuf., 2020
Real-time task processing for spinning cyber-physical production systems based on edge computing.
J. Intell. Manuf., 2020
An effective approach for causal variables analysis in diesel engine production by using mutual information and network deconvolution.
J. Intell. Manuf., 2020
Using structural equation modeling to analyze patient value, satisfaction, and loyalty: a case study of healthcare in China.
Int. J. Prod. Res., 2020
Big data analytics for cycle time related feature selection in the semiconductor wafer fabrication system.
Comput. Ind. Eng., 2020
Hybrid Feature Selection for Wafer Acceptance Test Parameters in Semiconductor Manufacturing.
IEEE Access, 2020
Edge-cloud collaborative fabric defect detection based on industrial internet architecture.
Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020
An Improved Genetic Algorithm with Local Search for Dynamic Job Shop Scheduling Problem.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020
2019
An adaptive CGAN/IRF-based rescheduling strategy for aircraft parts remanufacturing system under dynamic environment.
Robotics Comput. Integr. Manuf., 2019
Simulation-based production analysis of mixed-model assembly lines with uncertain processing times.
J. Simulation, 2019
A novel resilient scheduling paradigm integrating operation and design for manufacturing systems with uncertainties.
Enterp. Inf. Syst., 2019
Enterp. Inf. Syst., 2019
Online defect recognition of narrow overlap weld based on two-stage recognition model combining continuous wavelet transform and convolutional neural network.
Comput. Ind., 2019
An Improved GA-KRR Nested Learning Approach for Refrigeration Compressor Performance Forecasting<sup>*</sup>.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019
2018
Bilateral LSTM: A Two-Dimensional Long Short-Term Memory Model With Multiply Memory Units for Short-Term Cycle Time Forecasting in Re-entrant Manufacturing Systems.
IEEE Trans. Ind. Informatics, 2018
An improved ant colony algorithm for dynamic hybrid flow shop scheduling with uncertain processing time.
J. Intell. Manuf., 2018
Adjustment mode decision based on support vector data description and evidence theory for assembly lines.
Ind. Manag. Data Syst., 2018
An improved imperialist competitive algorithm based photolithography machines scheduling.
Int. J. Prod. Res., 2018
Int. J. Prod. Res., 2018
Big data driven cycle time parallel prediction for production planning in wafer manufacturing.
Enterp. Inf. Syst., 2018
Artif. Intell. Eng. Des. Anal. Manuf., 2018
An Imperialist Competitive Algorithm Incorporating Remaining Cycle Time Prediction for Photolithography Machines Scheduling.
IEEE Access, 2018
2013
Multiple-objective scheduling for interbay AMHS by using genetic-programming-based composite dispatching rules generator.
Comput. Ind., 2013
2011
Performance evaluation of knowledgeable manufacturing systems using Petri nets considering dynamic events.
Proceedings of the 2011 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2011