Peng Zhang
Orcid: 0000-0002-9004-9339Affiliations:
- Shanghai Jiao Tong University, Institute of Intelligent Manufacturing and Information Engineering, Shanghai, China
According to our database1,
Peng Zhang
authored at least 12 papers
between 2018 and 2025.
Collaborative distances:
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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
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
2023
TsrNet: A two-stage unsupervised approach for clothing region-specific textures style transfer.
J. Vis. Commun. Image Represent., March, 2023
Adaptive Deep Reinforcement Learning for Dynamic Parallel Machines Scheduling with Maintenance Activities.
Proceedings of the 28th International Conference on Automation and Computing, 2023
2022
A data-driven robust optimization method for the assembly job-shop scheduling problem under uncertainty.
Int. J. Comput. Integr. Manuf., 2022
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
2018
An improved imperialist competitive algorithm based photolithography machines scheduling.
Int. J. Prod. Res., 2018
An Imperialist Competitive Algorithm Incorporating Remaining Cycle Time Prediction for Photolithography Machines Scheduling.
IEEE Access, 2018