Jie Zhang

Orcid: 0000-0002-6215-0237

Affiliations:
  • 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 47 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

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

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

A Two-Stage Adaptive Method for Predicting the Remaining Useful Life of Winders.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022
Data-Driven Adaptive Virtual Metrology for Yield Prediction in Multibatch Wafers.
IEEE Trans. Ind. Informatics, 2022

Profit Optimization for Mileage-Based Pricing of Electric Vehicle Lease.
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

A Hybrid Wafer Processing Cycle Prediction Model Based on DPC-Relief-F.
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
An Unequal Deep Learning Approach for 3-D Point Cloud Segmentation.
IEEE Trans. Ind. Informatics, 2021

Online inspection of narrow overlap weld quality using two-stage convolution neural network image recognition.
Mach. Vis. Appl., 2021

Anomaly detection of power consumption in yarn spinning using transfer learning.
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

A new welding path planning method based on point cloud and deep learning.
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

The modelling and operations for the digital twin in the context of manufacturing.
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

An Adaptive Interval Forecast CNN Model for Fault Detection Method.
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

Tool path optimisation method for large thin-wall part of spacecraft.
Int. J. Prod. Res., 2018

Big data driven cycle time parallel prediction for production planning in wafer manufacturing.
Enterp. Inf. Syst., 2018

Data-driven process planning for shipbuilding.
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


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